Add GitHub ML run 20260925T213239000000Z-a6c8e386
Browse files
coverage/20260925T213239000000Z-a6c8e386.json
ADDED
|
@@ -0,0 +1,25 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"complete_sweep": false,
|
| 3 |
+
"date_field": "created",
|
| 4 |
+
"end": "2026-09-24",
|
| 5 |
+
"mode": "backfill-fair",
|
| 6 |
+
"queries": [
|
| 7 |
+
{
|
| 8 |
+
"coverage_gap": false,
|
| 9 |
+
"coverage_gap_reason": null,
|
| 10 |
+
"incomplete_results": false,
|
| 11 |
+
"pages_scanned": 1,
|
| 12 |
+
"query": "\"quantum machine learning\" physics in:description,readme created:2008-01-01..2017-05-13",
|
| 13 |
+
"query_id": "gap2026.physics-quantum-ml",
|
| 14 |
+
"range_end": "2017-05-13",
|
| 15 |
+
"range_start": "2008-01-01",
|
| 16 |
+
"search_limit_reached": false,
|
| 17 |
+
"status": "complete",
|
| 18 |
+
"total_count": 11
|
| 19 |
+
}
|
| 20 |
+
],
|
| 21 |
+
"requests_used": 1,
|
| 22 |
+
"run_id": "20260925T213239000000Z-a6c8e386",
|
| 23 |
+
"start": "2008-01-01",
|
| 24 |
+
"started_at": "2026-09-25T21:32:39Z"
|
| 25 |
+
}
|
data/observations/2026/09/25/20260925T213239000000Z-a6c8e386.jsonl
ADDED
|
@@ -0,0 +1,11 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{"archived":false,"candidate_status":"candidate","created_at":"2015-12-19T18:34:21Z","description":"Summaries and notes on Deep Learning research papers","domains":["physics","quantum-computing"],"fork":false,"forks":893,"github_id":48293060,"homepage":null,"language":null,"license":null,"methods":["quantum-machine-learning","variational-circuits"],"name":"dennybritz/deeplearning-papernotes","novelty_signals":["description","query-match","repository-metadata"],"observed_at":"2026-09-25T21:32:39Z","pushed_at":"2018-02-13T01:04:02Z","query_ids":["gap2026.physics-quantum-ml"],"stars":4420,"topics":[],"updated_at":"2026-09-24T00:52:15Z","url":"https://github.com/dennybritz/deeplearning-papernotes"}
|
| 2 |
+
{"archived":false,"candidate_status":"candidate","created_at":"2016-10-21T17:02:11Z","description":"List of Computer Science courses with video lectures.","domains":["computer-vision","health-and-biomedicine","physics","quantum-computing","reinforcement-learning","robotics-and-control"],"fork":false,"forks":11493,"github_id":71583602,"homepage":null,"language":null,"license":null,"methods":["quantum-machine-learning","reinforcement-learning","variational-circuits"],"name":"Developer-Y/cs-video-courses","novelty_signals":["description","github-topics","query-match","repository-metadata"],"observed_at":"2026-09-25T21:32:39Z","pushed_at":"2026-09-25T16:09:44Z","query_ids":["gap2026.physics-quantum-ml"],"stars":83560,"topics":["algorithms","bioinformatics","computational-biology","computational-physics","computer-architecture","computer-science","computer-vision","database-systems","databases","deep-learning","embedded-systems","machine-learning","quantum-computing","reinforcement-learning","robotics","security","systems","web-development"],"updated_at":"2026-09-25T21:30:46Z","url":"https://github.com/Developer-Y/cs-video-courses"}
|
| 3 |
+
{"archived":false,"candidate_status":"candidate","created_at":"2017-01-27T22:43:25Z","description":"A simple educational quantum computing simulator in Python (for Quantum Machine Learning Summer School Jan 2017)","domains":["physics","quantum-computing"],"fork":false,"forks":6,"github_id":80252370,"homepage":null,"language":"Python","license":"GPL-3.0","methods":["quantum-machine-learning","variational-circuits"],"name":"ucdavis/qc_simulator","novelty_signals":["description","license-metadata","query-match","repository-metadata"],"observed_at":"2026-09-25T21:32:39Z","pushed_at":"2017-01-25T09:10:28Z","query_ids":["gap2026.physics-quantum-ml"],"stars":3,"topics":[],"updated_at":"2026-03-29T19:44:39Z","url":"https://github.com/ucdavis/qc_simulator"}
|
| 4 |
+
{"archived":false,"candidate_status":"candidate","created_at":"2017-02-09T02:35:18Z","description":"List of books and other resources that are related to deep learning","domains":["physics","quantum-computing"],"fork":false,"forks":17,"github_id":81400179,"homepage":null,"language":"Python","license":null,"methods":["quantum-machine-learning","variational-circuits"],"name":"ColinShaw/machine-learning-resources","novelty_signals":["description","github-topics","query-match","repository-metadata"],"observed_at":"2026-09-25T21:32:39Z","pushed_at":"2020-07-30T19:50:34Z","query_ids":["gap2026.physics-quantum-ml"],"stars":68,"topics":["articles","books","links","machine-learning"],"updated_at":"2026-01-12T09:19:47Z","url":"https://github.com/ColinShaw/machine-learning-resources"}
|
| 5 |
+
{"archived":false,"candidate_status":"candidate","created_at":"2017-02-09T09:28:00Z","description":"Quantum Machine Learning Reading Group @ ICFO","domains":["physics","quantum-computing"],"fork":false,"forks":63,"github_id":81433065,"homepage":null,"language":"Jupyter Notebook","license":"GPL-3.0","methods":["quantum-machine-learning","variational-circuits"],"name":"peterwittek/qml-rg","novelty_signals":["description","license-metadata","query-match","repository-metadata"],"observed_at":"2026-09-25T21:32:39Z","pushed_at":"2019-02-04T11:12:48Z","query_ids":["gap2026.physics-quantum-ml"],"stars":134,"topics":[],"updated_at":"2026-08-19T15:39:08Z","url":"https://github.com/peterwittek/qml-rg"}
|
| 6 |
+
{"archived":false,"candidate_status":"candidate","created_at":"2017-02-11T08:33:11Z","description":"The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.","domains":["physics","quantum-computing"],"fork":false,"forks":2211,"github_id":81640848,"homepage":null,"language":null,"license":"MIT","methods":["neural-network","quantum-machine-learning","variational-circuits"],"name":"ritchieng/the-incredible-pytorch","novelty_signals":["description","github-topics","license-metadata","query-match","repository-metadata"],"observed_at":"2026-09-25T21:32:39Z","pushed_at":"2026-09-23T08:07:58Z","query_ids":["gap2026.physics-quantum-ml"],"stars":12649,"topics":["deep-learning","deep-learning-library","deep-learning-tutorial","deep-neural-networks","python","pytorch"],"updated_at":"2026-09-24T00:44:54Z","url":"https://github.com/ritchieng/the-incredible-pytorch"}
|
| 7 |
+
{"archived":false,"candidate_status":"candidate","created_at":"2017-03-15T08:00:26Z","description":"Quantum Machine Learning","domains":["physics","quantum-computing"],"fork":false,"forks":0,"github_id":85045003,"homepage":null,"language":"TeX","license":"GPL-3.0","methods":["quantum-machine-learning","variational-circuits"],"name":"Ryanschs/Home","novelty_signals":["description","license-metadata","query-match","repository-metadata"],"observed_at":"2026-09-25T21:32:39Z","pushed_at":"2018-08-29T06:40:16Z","query_ids":["gap2026.physics-quantum-ml"],"stars":0,"topics":[],"updated_at":"2018-08-29T06:40:17Z","url":"https://github.com/Ryanschs/Home"}
|
| 8 |
+
{"archived":false,"candidate_status":"candidate","created_at":"2017-04-02T20:30:55Z","description":"Here you can get all the Quantum Projects and the descriptions of the projects around the web","domains":["physics","quantum-computing"],"fork":false,"forks":12,"github_id":87014161,"homepage":null,"language":null,"license":null,"methods":["quantum-machine-learning","variational-circuits"],"name":"krishnakumarsekar/Awesome-Quantum-Processing","novelty_signals":["description","query-match","repository-metadata"],"observed_at":"2026-09-25T21:32:39Z","pushed_at":"2017-04-24T11:01:13Z","query_ids":["gap2026.physics-quantum-ml"],"stars":33,"topics":[],"updated_at":"2026-02-23T17:12:15Z","url":"https://github.com/krishnakumarsekar/Awesome-Quantum-Processing"}
|
| 9 |
+
{"archived":false,"candidate_status":"candidate","created_at":"2017-04-05T00:44:19Z","description":"Cavar's homepage","domains":["natural-language-processing","physics","quantum-computing"],"fork":false,"forks":1,"github_id":87249109,"homepage":"http://damir.cavar.me/","language":"HTML","license":"Apache-2.0","methods":["quantum-machine-learning","variational-circuits"],"name":"dcavar/dcavar.github.io","novelty_signals":["description","github-topics","license-metadata","query-match","repository-metadata"],"observed_at":"2026-09-25T21:32:39Z","pushed_at":"2026-09-17T11:35:39Z","query_ids":["gap2026.physics-quantum-ml"],"stars":5,"topics":["artificial-intelligence","computational-linguistics","machine-learning","natural-language-processing"],"updated_at":"2026-09-17T11:35:42Z","url":"https://github.com/dcavar/dcavar.github.io"}
|
| 10 |
+
{"archived":false,"candidate_status":"candidate","created_at":"2017-04-12T04:01:06Z","description":"A journal club archive on quantum algorithms and machine learning.","domains":["physics","quantum-computing"],"fork":false,"forks":3,"github_id":88008180,"homepage":null,"language":null,"license":null,"methods":["quantum-machine-learning","variational-circuits"],"name":"garymooney/qaml-journal-club","novelty_signals":["description","query-match","repository-metadata"],"observed_at":"2026-09-25T21:32:39Z","pushed_at":"2017-12-15T06:14:03Z","query_ids":["gap2026.physics-quantum-ml"],"stars":7,"topics":[],"updated_at":"2023-11-06T12:20:15Z","url":"https://github.com/garymooney/qaml-journal-club"}
|
| 11 |
+
{"archived":false,"candidate_status":"candidate","created_at":"2017-04-26T11:03:50Z","description":"Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web","domains":["physics","quantum-computing"],"fork":false,"forks":808,"github_id":89471385,"homepage":null,"language":"HTML","license":"CC0-1.0","methods":["neural-network","quantum-machine-learning","variational-circuits"],"name":"krishnakumarsekar/awesome-quantum-machine-learning","novelty_signals":["description","github-topics","license-metadata","query-match","repository-metadata"],"observed_at":"2026-09-25T21:32:39Z","pushed_at":"2024-05-07T21:09:28Z","query_ids":["gap2026.physics-quantum-ml"],"stars":3672,"topics":["ai","ant-colony-optimization","artificial-intelligence","artificial-neural-networks","awesome","awesome-list","fcm","hmm-model","kmeans","knn-classification","machine-learning","machine-learning-algorithms","qml","quantum","quantum-ai","quantum-computing","quantum-programming-language","qubits","tensorflow"],"updated_at":"2026-09-25T16:32:18Z","url":"https://github.com/krishnakumarsekar/awesome-quantum-machine-learning"}
|
state/backfill-fair.json
CHANGED
|
@@ -1632,6 +1632,38 @@
|
|
| 1632 |
"id": "recall.student-performance-prediction",
|
| 1633 |
"query": "\"student performance prediction\" in:name,description,readme"
|
| 1634 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1635 |
{
|
| 1636 |
"id": "rl.bandits",
|
| 1637 |
"query": "\"multi-armed bandit\" in:description"
|
|
@@ -1916,6 +1948,66 @@
|
|
| 1916 |
"id": "science.weather-nowcasting",
|
| 1917 |
"query": "nowcasting in:description \"machine learning\""
|
| 1918 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1919 |
{
|
| 1920 |
"id": "timeseries.anomaly-detection",
|
| 1921 |
"query": "\"time series anomaly detection\" in:description"
|
|
@@ -6169,8 +6261,8 @@
|
|
| 6169 |
"active_incomplete_results": false,
|
| 6170 |
"active_pages_scanned": 0,
|
| 6171 |
"active_range": {
|
| 6172 |
-
"end": "
|
| 6173 |
-
"start": "
|
| 6174 |
},
|
| 6175 |
"active_total_count": null,
|
| 6176 |
"end": "2026-09-24",
|
|
@@ -6179,12 +6271,7 @@
|
|
| 6179 |
"per_page": 100,
|
| 6180 |
"query_id": "gap2026.physics-quantum-ml",
|
| 6181 |
"query_index": 0,
|
| 6182 |
-
"range_stack": [
|
| 6183 |
-
{
|
| 6184 |
-
"end": "2026-09-24",
|
| 6185 |
-
"start": "2017-05-14"
|
| 6186 |
-
}
|
| 6187 |
-
],
|
| 6188 |
"specs": [
|
| 6189 |
{
|
| 6190 |
"id": "gap2026.physics-quantum-ml",
|
|
@@ -12989,6 +13076,46 @@
|
|
| 12989 |
},
|
| 12990 |
"query": "\"student performance prediction\" in:name,description,readme"
|
| 12991 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 12992 |
"rl.bandits": {
|
| 12993 |
"complete": false,
|
| 12994 |
"cursor": {
|
|
@@ -14900,6 +15027,81 @@
|
|
| 14900 |
"cursor": null,
|
| 14901 |
"query": "nowcasting in:description \"machine learning\""
|
| 14902 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 14903 |
"timeseries.anomaly-detection": {
|
| 14904 |
"complete": false,
|
| 14905 |
"cursor": {
|
|
@@ -17132,7 +17334,7 @@
|
|
| 17132 |
"query": "\"visual localization\" in:readme"
|
| 17133 |
}
|
| 17134 |
},
|
| 17135 |
-
"next_index":
|
| 17136 |
"per_page": 100,
|
| 17137 |
"start": "2008-01-01",
|
| 17138 |
"version": 1
|
|
@@ -17140,5 +17342,5 @@
|
|
| 17140 |
"end": "2026-09-24",
|
| 17141 |
"search_policy_version": 2,
|
| 17142 |
"start": "2008-01-01",
|
| 17143 |
-
"updated_at": "2026-09-
|
| 17144 |
}
|
|
|
|
| 1632 |
"id": "recall.student-performance-prediction",
|
| 1633 |
"query": "\"student performance prediction\" in:name,description,readme"
|
| 1634 |
},
|
| 1635 |
+
{
|
| 1636 |
+
"id": "recall26.audio-language-model",
|
| 1637 |
+
"query": "\"audio language model\" in:description,readme"
|
| 1638 |
+
},
|
| 1639 |
+
{
|
| 1640 |
+
"id": "recall26.class-imbalance",
|
| 1641 |
+
"query": "\"class imbalance\" \"machine learning\" in:description,readme"
|
| 1642 |
+
},
|
| 1643 |
+
{
|
| 1644 |
+
"id": "recall26.image-dehazing",
|
| 1645 |
+
"query": "\"image dehazing\" in:description,readme"
|
| 1646 |
+
},
|
| 1647 |
+
{
|
| 1648 |
+
"id": "recall26.image-denoising",
|
| 1649 |
+
"query": "\"image denoising\" in:description,readme"
|
| 1650 |
+
},
|
| 1651 |
+
{
|
| 1652 |
+
"id": "recall26.long-tailed-recognition",
|
| 1653 |
+
"query": "\"long-tailed recognition\" in:description,readme"
|
| 1654 |
+
},
|
| 1655 |
+
{
|
| 1656 |
+
"id": "recall26.low-light-enhancement",
|
| 1657 |
+
"query": "\"low-light image enhancement\" in:description,readme"
|
| 1658 |
+
},
|
| 1659 |
+
{
|
| 1660 |
+
"id": "recall26.sign-language",
|
| 1661 |
+
"query": "\"sign language\" in:description,readme"
|
| 1662 |
+
},
|
| 1663 |
+
{
|
| 1664 |
+
"id": "recall26.visual-grounding",
|
| 1665 |
+
"query": "\"visual grounding\" in:description,readme"
|
| 1666 |
+
},
|
| 1667 |
{
|
| 1668 |
"id": "rl.bandits",
|
| 1669 |
"query": "\"multi-armed bandit\" in:description"
|
|
|
|
| 1948 |
"id": "science.weather-nowcasting",
|
| 1949 |
"query": "nowcasting in:description \"machine learning\""
|
| 1950 |
},
|
| 1951 |
+
{
|
| 1952 |
+
"id": "specialized.carbon-footprint-training",
|
| 1953 |
+
"query": "\"carbon footprint\" \"deep learning\" training in:description,readme"
|
| 1954 |
+
},
|
| 1955 |
+
{
|
| 1956 |
+
"id": "specialized.computational-pathology-ml",
|
| 1957 |
+
"query": "\"computational pathology\" \"machine learning\" in:description,readme"
|
| 1958 |
+
},
|
| 1959 |
+
{
|
| 1960 |
+
"id": "specialized.coreset-selection",
|
| 1961 |
+
"query": "\"coreset selection\" in:description,readme"
|
| 1962 |
+
},
|
| 1963 |
+
{
|
| 1964 |
+
"id": "specialized.curriculum-learning",
|
| 1965 |
+
"query": "\"curriculum learning\" in:description,readme"
|
| 1966 |
+
},
|
| 1967 |
+
{
|
| 1968 |
+
"id": "specialized.data-centric-ai",
|
| 1969 |
+
"query": "\"data-centric AI\" in:description,readme"
|
| 1970 |
+
},
|
| 1971 |
+
{
|
| 1972 |
+
"id": "specialized.data-shapley",
|
| 1973 |
+
"query": "\"data Shapley\" in:description,readme"
|
| 1974 |
+
},
|
| 1975 |
+
{
|
| 1976 |
+
"id": "specialized.dataset-distillation",
|
| 1977 |
+
"query": "\"dataset distillation\" in:description,readme"
|
| 1978 |
+
},
|
| 1979 |
+
{
|
| 1980 |
+
"id": "specialized.event-camera-deep-learning",
|
| 1981 |
+
"query": "\"event camera\" \"deep learning\" in:description,readme"
|
| 1982 |
+
},
|
| 1983 |
+
{
|
| 1984 |
+
"id": "specialized.fmri-decoding-ml",
|
| 1985 |
+
"query": "\"fMRI decoding\" \"machine learning\" in:description,readme"
|
| 1986 |
+
},
|
| 1987 |
+
{
|
| 1988 |
+
"id": "specialized.machine-unlearning",
|
| 1989 |
+
"query": "\"machine unlearning\" in:description,readme"
|
| 1990 |
+
},
|
| 1991 |
+
{
|
| 1992 |
+
"id": "specialized.mechanistic-interpretability",
|
| 1993 |
+
"query": "\"mechanistic interpretability\" in:description,readme"
|
| 1994 |
+
},
|
| 1995 |
+
{
|
| 1996 |
+
"id": "specialized.medical-image-registration-deep-learning",
|
| 1997 |
+
"query": "\"medical image registration\" \"deep learning\" in:description,readme"
|
| 1998 |
+
},
|
| 1999 |
+
{
|
| 2000 |
+
"id": "specialized.pathology-foundation-model",
|
| 2001 |
+
"query": "\"pathology foundation model\" \"machine learning\" in:description,readme"
|
| 2002 |
+
},
|
| 2003 |
+
{
|
| 2004 |
+
"id": "specialized.spiking-neural-network",
|
| 2005 |
+
"query": "\"spiking neural network\" in:description,readme"
|
| 2006 |
+
},
|
| 2007 |
+
{
|
| 2008 |
+
"id": "specialized.test-time-adaptation",
|
| 2009 |
+
"query": "\"test-time adaptation\" in:description,readme"
|
| 2010 |
+
},
|
| 2011 |
{
|
| 2012 |
"id": "timeseries.anomaly-detection",
|
| 2013 |
"query": "\"time series anomaly detection\" in:description"
|
|
|
|
| 6261 |
"active_incomplete_results": false,
|
| 6262 |
"active_pages_scanned": 0,
|
| 6263 |
"active_range": {
|
| 6264 |
+
"end": "2026-09-24",
|
| 6265 |
+
"start": "2017-05-14"
|
| 6266 |
},
|
| 6267 |
"active_total_count": null,
|
| 6268 |
"end": "2026-09-24",
|
|
|
|
| 6271 |
"per_page": 100,
|
| 6272 |
"query_id": "gap2026.physics-quantum-ml",
|
| 6273 |
"query_index": 0,
|
| 6274 |
+
"range_stack": [],
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 6275 |
"specs": [
|
| 6276 |
{
|
| 6277 |
"id": "gap2026.physics-quantum-ml",
|
|
|
|
| 13076 |
},
|
| 13077 |
"query": "\"student performance prediction\" in:name,description,readme"
|
| 13078 |
},
|
| 13079 |
+
"recall26.audio-language-model": {
|
| 13080 |
+
"complete": false,
|
| 13081 |
+
"cursor": null,
|
| 13082 |
+
"query": "\"audio language model\" in:description,readme"
|
| 13083 |
+
},
|
| 13084 |
+
"recall26.class-imbalance": {
|
| 13085 |
+
"complete": false,
|
| 13086 |
+
"cursor": null,
|
| 13087 |
+
"query": "\"class imbalance\" \"machine learning\" in:description,readme"
|
| 13088 |
+
},
|
| 13089 |
+
"recall26.image-dehazing": {
|
| 13090 |
+
"complete": false,
|
| 13091 |
+
"cursor": null,
|
| 13092 |
+
"query": "\"image dehazing\" in:description,readme"
|
| 13093 |
+
},
|
| 13094 |
+
"recall26.image-denoising": {
|
| 13095 |
+
"complete": false,
|
| 13096 |
+
"cursor": null,
|
| 13097 |
+
"query": "\"image denoising\" in:description,readme"
|
| 13098 |
+
},
|
| 13099 |
+
"recall26.long-tailed-recognition": {
|
| 13100 |
+
"complete": false,
|
| 13101 |
+
"cursor": null,
|
| 13102 |
+
"query": "\"long-tailed recognition\" in:description,readme"
|
| 13103 |
+
},
|
| 13104 |
+
"recall26.low-light-enhancement": {
|
| 13105 |
+
"complete": false,
|
| 13106 |
+
"cursor": null,
|
| 13107 |
+
"query": "\"low-light image enhancement\" in:description,readme"
|
| 13108 |
+
},
|
| 13109 |
+
"recall26.sign-language": {
|
| 13110 |
+
"complete": false,
|
| 13111 |
+
"cursor": null,
|
| 13112 |
+
"query": "\"sign language\" in:description,readme"
|
| 13113 |
+
},
|
| 13114 |
+
"recall26.visual-grounding": {
|
| 13115 |
+
"complete": false,
|
| 13116 |
+
"cursor": null,
|
| 13117 |
+
"query": "\"visual grounding\" in:description,readme"
|
| 13118 |
+
},
|
| 13119 |
"rl.bandits": {
|
| 13120 |
"complete": false,
|
| 13121 |
"cursor": {
|
|
|
|
| 15027 |
"cursor": null,
|
| 15028 |
"query": "nowcasting in:description \"machine learning\""
|
| 15029 |
},
|
| 15030 |
+
"specialized.carbon-footprint-training": {
|
| 15031 |
+
"complete": false,
|
| 15032 |
+
"cursor": null,
|
| 15033 |
+
"query": "\"carbon footprint\" \"deep learning\" training in:description,readme"
|
| 15034 |
+
},
|
| 15035 |
+
"specialized.computational-pathology-ml": {
|
| 15036 |
+
"complete": false,
|
| 15037 |
+
"cursor": null,
|
| 15038 |
+
"query": "\"computational pathology\" \"machine learning\" in:description,readme"
|
| 15039 |
+
},
|
| 15040 |
+
"specialized.coreset-selection": {
|
| 15041 |
+
"complete": false,
|
| 15042 |
+
"cursor": null,
|
| 15043 |
+
"query": "\"coreset selection\" in:description,readme"
|
| 15044 |
+
},
|
| 15045 |
+
"specialized.curriculum-learning": {
|
| 15046 |
+
"complete": false,
|
| 15047 |
+
"cursor": null,
|
| 15048 |
+
"query": "\"curriculum learning\" in:description,readme"
|
| 15049 |
+
},
|
| 15050 |
+
"specialized.data-centric-ai": {
|
| 15051 |
+
"complete": false,
|
| 15052 |
+
"cursor": null,
|
| 15053 |
+
"query": "\"data-centric AI\" in:description,readme"
|
| 15054 |
+
},
|
| 15055 |
+
"specialized.data-shapley": {
|
| 15056 |
+
"complete": false,
|
| 15057 |
+
"cursor": null,
|
| 15058 |
+
"query": "\"data Shapley\" in:description,readme"
|
| 15059 |
+
},
|
| 15060 |
+
"specialized.dataset-distillation": {
|
| 15061 |
+
"complete": false,
|
| 15062 |
+
"cursor": null,
|
| 15063 |
+
"query": "\"dataset distillation\" in:description,readme"
|
| 15064 |
+
},
|
| 15065 |
+
"specialized.event-camera-deep-learning": {
|
| 15066 |
+
"complete": false,
|
| 15067 |
+
"cursor": null,
|
| 15068 |
+
"query": "\"event camera\" \"deep learning\" in:description,readme"
|
| 15069 |
+
},
|
| 15070 |
+
"specialized.fmri-decoding-ml": {
|
| 15071 |
+
"complete": false,
|
| 15072 |
+
"cursor": null,
|
| 15073 |
+
"query": "\"fMRI decoding\" \"machine learning\" in:description,readme"
|
| 15074 |
+
},
|
| 15075 |
+
"specialized.machine-unlearning": {
|
| 15076 |
+
"complete": false,
|
| 15077 |
+
"cursor": null,
|
| 15078 |
+
"query": "\"machine unlearning\" in:description,readme"
|
| 15079 |
+
},
|
| 15080 |
+
"specialized.mechanistic-interpretability": {
|
| 15081 |
+
"complete": false,
|
| 15082 |
+
"cursor": null,
|
| 15083 |
+
"query": "\"mechanistic interpretability\" in:description,readme"
|
| 15084 |
+
},
|
| 15085 |
+
"specialized.medical-image-registration-deep-learning": {
|
| 15086 |
+
"complete": false,
|
| 15087 |
+
"cursor": null,
|
| 15088 |
+
"query": "\"medical image registration\" \"deep learning\" in:description,readme"
|
| 15089 |
+
},
|
| 15090 |
+
"specialized.pathology-foundation-model": {
|
| 15091 |
+
"complete": false,
|
| 15092 |
+
"cursor": null,
|
| 15093 |
+
"query": "\"pathology foundation model\" \"machine learning\" in:description,readme"
|
| 15094 |
+
},
|
| 15095 |
+
"specialized.spiking-neural-network": {
|
| 15096 |
+
"complete": false,
|
| 15097 |
+
"cursor": null,
|
| 15098 |
+
"query": "\"spiking neural network\" in:description,readme"
|
| 15099 |
+
},
|
| 15100 |
+
"specialized.test-time-adaptation": {
|
| 15101 |
+
"complete": false,
|
| 15102 |
+
"cursor": null,
|
| 15103 |
+
"query": "\"test-time adaptation\" in:description,readme"
|
| 15104 |
+
},
|
| 15105 |
"timeseries.anomaly-detection": {
|
| 15106 |
"complete": false,
|
| 15107 |
"cursor": {
|
|
|
|
| 17334 |
"query": "\"visual localization\" in:readme"
|
| 17335 |
}
|
| 17336 |
},
|
| 17337 |
+
"next_index": 166,
|
| 17338 |
"per_page": 100,
|
| 17339 |
"start": "2008-01-01",
|
| 17340 |
"version": 1
|
|
|
|
| 17342 |
"end": "2026-09-24",
|
| 17343 |
"search_policy_version": 2,
|
| 17344 |
"start": "2008-01-01",
|
| 17345 |
+
"updated_at": "2026-09-25T21:32:39Z"
|
| 17346 |
}
|