Add GitHub ML run 20260928T054657000000Z-9e69b346
Browse files
coverage/20260928T054657000000Z-9e69b346.json
ADDED
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@@ -0,0 +1,1188 @@
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|
|
|
| 1 |
+
{
|
| 2 |
+
"band_complete": false,
|
| 3 |
+
"complete_sweep": false,
|
| 4 |
+
"date_field": "created",
|
| 5 |
+
"end": "2026-09-28",
|
| 6 |
+
"limitations": [
|
| 7 |
+
"GitHub Search coverage gaps are recorded per query and date partition.",
|
| 8 |
+
"Search results do not establish that the discovered repositories are ML projects."
|
| 9 |
+
],
|
| 10 |
+
"mode": "star-crawl",
|
| 11 |
+
"queries": [
|
| 12 |
+
{
|
| 13 |
+
"coverage_gap": false,
|
| 14 |
+
"coverage_gap_reason": null,
|
| 15 |
+
"incomplete_results": false,
|
| 16 |
+
"pages_scanned": 1,
|
| 17 |
+
"query": "\"document retrieval\" in:readme stars:5000..9999 created:2008-01-01..2026-09-28",
|
| 18 |
+
"query_id": "nlp-document-retrieval",
|
| 19 |
+
"range_end": "2026-09-28",
|
| 20 |
+
"range_start": "2008-01-01",
|
| 21 |
+
"search_limit_reached": false,
|
| 22 |
+
"status": "complete",
|
| 23 |
+
"total_count": 5
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"coverage_gap": false,
|
| 27 |
+
"coverage_gap_reason": null,
|
| 28 |
+
"incomplete_results": false,
|
| 29 |
+
"pages_scanned": 1,
|
| 30 |
+
"query": "\"entity linking\" in:readme stars:5000..9999 created:2008-01-01..2026-09-28",
|
| 31 |
+
"query_id": "nlp-entity-linking",
|
| 32 |
+
"range_end": "2026-09-28",
|
| 33 |
+
"range_start": "2008-01-01",
|
| 34 |
+
"search_limit_reached": false,
|
| 35 |
+
"status": "complete",
|
| 36 |
+
"total_count": 3
|
| 37 |
+
},
|
| 38 |
+
{
|
| 39 |
+
"coverage_gap": false,
|
| 40 |
+
"coverage_gap_reason": null,
|
| 41 |
+
"incomplete_results": false,
|
| 42 |
+
"pages_scanned": 1,
|
| 43 |
+
"query": "\"natural language inference\" in:readme stars:5000..9999 created:2008-01-01..2026-09-28",
|
| 44 |
+
"query_id": "nlp-natural-language-inference",
|
| 45 |
+
"range_end": "2026-09-28",
|
| 46 |
+
"range_start": "2008-01-01",
|
| 47 |
+
"search_limit_reached": false,
|
| 48 |
+
"status": "complete",
|
| 49 |
+
"total_count": 2
|
| 50 |
+
},
|
| 51 |
+
{
|
| 52 |
+
"coverage_gap": false,
|
| 53 |
+
"coverage_gap_reason": null,
|
| 54 |
+
"incomplete_results": false,
|
| 55 |
+
"pages_scanned": 1,
|
| 56 |
+
"query": "\"query understanding\" in:readme stars:5000..9999 created:2008-01-01..2026-09-28",
|
| 57 |
+
"query_id": "nlp-query-understanding",
|
| 58 |
+
"range_end": "2026-09-28",
|
| 59 |
+
"range_start": "2008-01-01",
|
| 60 |
+
"search_limit_reached": false,
|
| 61 |
+
"status": "complete",
|
| 62 |
+
"total_count": 1
|
| 63 |
+
},
|
| 64 |
+
{
|
| 65 |
+
"coverage_gap": false,
|
| 66 |
+
"coverage_gap_reason": null,
|
| 67 |
+
"incomplete_results": false,
|
| 68 |
+
"pages_scanned": 1,
|
| 69 |
+
"query": "\"sparse retrieval\" in:readme stars:5000..9999 created:2008-01-01..2026-09-28",
|
| 70 |
+
"query_id": "nlp-sparse-retrieval",
|
| 71 |
+
"range_end": "2026-09-28",
|
| 72 |
+
"range_start": "2008-01-01",
|
| 73 |
+
"search_limit_reached": false,
|
| 74 |
+
"status": "complete",
|
| 75 |
+
"total_count": 0
|
| 76 |
+
},
|
| 77 |
+
{
|
| 78 |
+
"coverage_gap": false,
|
| 79 |
+
"coverage_gap_reason": null,
|
| 80 |
+
"incomplete_results": false,
|
| 81 |
+
"pages_scanned": 1,
|
| 82 |
+
"query": "\"speech language model\" in:readme stars:5000..9999 created:2008-01-01..2026-09-28",
|
| 83 |
+
"query_id": "nlp-speech-language-modeling",
|
| 84 |
+
"range_end": "2026-09-28",
|
| 85 |
+
"range_start": "2008-01-01",
|
| 86 |
+
"search_limit_reached": false,
|
| 87 |
+
"status": "complete",
|
| 88 |
+
"total_count": 3
|
| 89 |
+
},
|
| 90 |
+
{
|
| 91 |
+
"coverage_gap": false,
|
| 92 |
+
"coverage_gap_reason": null,
|
| 93 |
+
"incomplete_results": false,
|
| 94 |
+
"pages_scanned": 1,
|
| 95 |
+
"query": "\"coreference resolution\" in:readme stars:5000..9999 created:2008-01-01..2026-09-28",
|
| 96 |
+
"query_id": "nlp.coreference-resolution",
|
| 97 |
+
"range_end": "2026-09-28",
|
| 98 |
+
"range_start": "2008-01-01",
|
| 99 |
+
"search_limit_reached": false,
|
| 100 |
+
"status": "complete",
|
| 101 |
+
"total_count": 2
|
| 102 |
+
},
|
| 103 |
+
{
|
| 104 |
+
"coverage_gap": false,
|
| 105 |
+
"coverage_gap_reason": null,
|
| 106 |
+
"incomplete_results": false,
|
| 107 |
+
"pages_scanned": 1,
|
| 108 |
+
"query": "\"cross-encoder\" \"reranking\" in:readme stars:5000..9999 created:2008-01-01..2026-09-28",
|
| 109 |
+
"query_id": "nlp.cross-encoder-reranking",
|
| 110 |
+
"range_end": "2026-09-28",
|
| 111 |
+
"range_start": "2008-01-01",
|
| 112 |
+
"search_limit_reached": false,
|
| 113 |
+
"status": "complete",
|
| 114 |
+
"total_count": 3
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"coverage_gap": false,
|
| 118 |
+
"coverage_gap_reason": null,
|
| 119 |
+
"incomplete_results": false,
|
| 120 |
+
"pages_scanned": 1,
|
| 121 |
+
"query": "\"dense retrieval\" in:readme stars:5000..9999 created:2008-01-01..2026-09-28",
|
| 122 |
+
"query_id": "nlp.dense-retrieval",
|
| 123 |
+
"range_end": "2026-09-28",
|
| 124 |
+
"range_start": "2008-01-01",
|
| 125 |
+
"search_limit_reached": false,
|
| 126 |
+
"status": "complete",
|
| 127 |
+
"total_count": 0
|
| 128 |
+
},
|
| 129 |
+
{
|
| 130 |
+
"coverage_gap": false,
|
| 131 |
+
"coverage_gap_reason": null,
|
| 132 |
+
"incomplete_results": false,
|
| 133 |
+
"pages_scanned": 1,
|
| 134 |
+
"query": "\"dependency parsing\" in:readme stars:5000..9999 created:2008-01-01..2026-09-28",
|
| 135 |
+
"query_id": "nlp.dependency-parsing",
|
| 136 |
+
"range_end": "2026-09-28",
|
| 137 |
+
"range_start": "2008-01-01",
|
| 138 |
+
"search_limit_reached": false,
|
| 139 |
+
"status": "complete",
|
| 140 |
+
"total_count": 6
|
| 141 |
+
},
|
| 142 |
+
{
|
| 143 |
+
"coverage_gap": false,
|
| 144 |
+
"coverage_gap_reason": null,
|
| 145 |
+
"incomplete_results": false,
|
| 146 |
+
"pages_scanned": 1,
|
| 147 |
+
"query": "\"dialogue system\" in:readme stars:5000..9999 created:2008-01-01..2026-09-28",
|
| 148 |
+
"query_id": "nlp.dialogue-systems",
|
| 149 |
+
"range_end": "2026-09-28",
|
| 150 |
+
"range_start": "2008-01-01",
|
| 151 |
+
"search_limit_reached": false,
|
| 152 |
+
"status": "complete",
|
| 153 |
+
"total_count": 6
|
| 154 |
+
},
|
| 155 |
+
{
|
| 156 |
+
"coverage_gap": false,
|
| 157 |
+
"coverage_gap_reason": null,
|
| 158 |
+
"incomplete_results": false,
|
| 159 |
+
"pages_scanned": 1,
|
| 160 |
+
"query": "\"information extraction\" in:description stars:5000..9999 created:2008-01-01..2026-09-28",
|
| 161 |
+
"query_id": "nlp.information-extraction",
|
| 162 |
+
"range_end": "2026-09-28",
|
| 163 |
+
"range_start": "2008-01-01",
|
| 164 |
+
"search_limit_reached": false,
|
| 165 |
+
"status": "complete",
|
| 166 |
+
"total_count": 0
|
| 167 |
+
},
|
| 168 |
+
{
|
| 169 |
+
"coverage_gap": false,
|
| 170 |
+
"coverage_gap_reason": null,
|
| 171 |
+
"incomplete_results": false,
|
| 172 |
+
"pages_scanned": 1,
|
| 173 |
+
"query": "\"language modeling\" in:description stars:5000..9999 created:2008-01-01..2026-09-28",
|
| 174 |
+
"query_id": "nlp.language-modeling",
|
| 175 |
+
"range_end": "2026-09-28",
|
| 176 |
+
"range_start": "2008-01-01",
|
| 177 |
+
"search_limit_reached": false,
|
| 178 |
+
"status": "complete",
|
| 179 |
+
"total_count": 43
|
| 180 |
+
},
|
| 181 |
+
{
|
| 182 |
+
"coverage_gap": false,
|
| 183 |
+
"coverage_gap_reason": null,
|
| 184 |
+
"incomplete_results": false,
|
| 185 |
+
"pages_scanned": 1,
|
| 186 |
+
"query": "\"machine translation\" in:description stars:5000..9999 created:2008-01-01..2026-09-28",
|
| 187 |
+
"query_id": "nlp.machine-translation",
|
| 188 |
+
"range_end": "2026-09-28",
|
| 189 |
+
"range_start": "2008-01-01",
|
| 190 |
+
"search_limit_reached": false,
|
| 191 |
+
"status": "complete",
|
| 192 |
+
"total_count": 2
|
| 193 |
+
},
|
| 194 |
+
{
|
| 195 |
+
"coverage_gap": false,
|
| 196 |
+
"coverage_gap_reason": null,
|
| 197 |
+
"incomplete_results": false,
|
| 198 |
+
"pages_scanned": 1,
|
| 199 |
+
"query": "\"named entity recognition\" in:readme stars:5000..9999 created:2008-01-01..2026-09-28",
|
| 200 |
+
"query_id": "nlp.named-entity-recognition",
|
| 201 |
+
"range_end": "2026-09-28",
|
| 202 |
+
"range_start": "2008-01-01",
|
| 203 |
+
"search_limit_reached": false,
|
| 204 |
+
"status": "complete",
|
| 205 |
+
"total_count": 11
|
| 206 |
+
},
|
| 207 |
+
{
|
| 208 |
+
"coverage_gap": false,
|
| 209 |
+
"coverage_gap_reason": null,
|
| 210 |
+
"incomplete_results": false,
|
| 211 |
+
"pages_scanned": 1,
|
| 212 |
+
"query": "\"neural reranking\" in:description stars:5000..9999 created:2008-01-01..2026-09-28",
|
| 213 |
+
"query_id": "nlp.neural-reranking",
|
| 214 |
+
"range_end": "2026-09-28",
|
| 215 |
+
"range_start": "2008-01-01",
|
| 216 |
+
"search_limit_reached": false,
|
| 217 |
+
"status": "complete",
|
| 218 |
+
"total_count": 0
|
| 219 |
+
},
|
| 220 |
+
{
|
| 221 |
+
"coverage_gap": false,
|
| 222 |
+
"coverage_gap_reason": null,
|
| 223 |
+
"incomplete_results": false,
|
| 224 |
+
"pages_scanned": 1,
|
| 225 |
+
"query": "\"question answering\" in:description stars:5000..9999 created:2008-01-01..2026-09-28",
|
| 226 |
+
"query_id": "nlp.question-answering",
|
| 227 |
+
"range_end": "2026-09-28",
|
| 228 |
+
"range_start": "2008-01-01",
|
| 229 |
+
"search_limit_reached": false,
|
| 230 |
+
"status": "complete",
|
| 231 |
+
"total_count": 1
|
| 232 |
+
},
|
| 233 |
+
{
|
| 234 |
+
"coverage_gap": false,
|
| 235 |
+
"coverage_gap_reason": null,
|
| 236 |
+
"incomplete_results": false,
|
| 237 |
+
"pages_scanned": 1,
|
| 238 |
+
"query": "\"retrieval augmented generation\" in:description stars:5000..9999 created:2008-01-01..2026-09-28",
|
| 239 |
+
"query_id": "nlp.rag",
|
| 240 |
+
"range_end": "2026-09-28",
|
| 241 |
+
"range_start": "2008-01-01",
|
| 242 |
+
"search_limit_reached": false,
|
| 243 |
+
"status": "complete",
|
| 244 |
+
"total_count": 3
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| 2760 |
"query": "\"subword tokenization\" in:readme stars:5000..9999"
|
| 2761 |
},
|
| 2762 |
"nlp.text-classification": {
|
| 2763 |
-
"complete":
|
| 2764 |
"cursor": null,
|
| 2765 |
"query": "\"text classification\" in:description stars:5000..9999"
|
| 2766 |
},
|
| 2767 |
"nlp.text-generation": {
|
| 2768 |
-
"complete":
|
| 2769 |
"cursor": null,
|
| 2770 |
"query": "\"text generation\" in:readme stars:5000..9999"
|
| 2771 |
},
|
| 2772 |
"nlp.text-summarization": {
|
| 2773 |
-
"complete":
|
| 2774 |
"cursor": null,
|
| 2775 |
"query": "\"text summarization\" in:description stars:5000..9999"
|
| 2776 |
},
|
| 2777 |
"nlp.topic-modeling": {
|
| 2778 |
-
"complete":
|
| 2779 |
"cursor": null,
|
| 2780 |
"query": "\"topic modeling\" in:readme stars:5000..9999"
|
| 2781 |
},
|
| 2782 |
"recall.archaeological-remote-sensing": {
|
| 2783 |
-
"complete":
|
| 2784 |
"cursor": null,
|
| 2785 |
"query": "archaeology \"remote sensing\" in:name,description,readme stars:5000..9999"
|
| 2786 |
},
|
| 2787 |
"recall.case-outcome-prediction": {
|
| 2788 |
-
"complete":
|
| 2789 |
"cursor": null,
|
| 2790 |
"query": "\"case outcome prediction\" in:name,description,readme stars:5000..9999"
|
| 2791 |
},
|
| 2792 |
"recall.computational-linguistics": {
|
| 2793 |
-
"complete":
|
| 2794 |
"cursor": null,
|
| 2795 |
"query": "\"computational linguistics\" model in:name,description,readme stars:5000..9999"
|
| 2796 |
},
|
| 2797 |
"recall.computational-social-science": {
|
| 2798 |
-
"complete":
|
| 2799 |
"cursor": null,
|
| 2800 |
"query": "\"computational social science\" in:name,description,readme stars:5000..9999"
|
| 2801 |
},
|
| 2802 |
"recall.digital-humanities-nlp": {
|
| 2803 |
-
"complete":
|
| 2804 |
"cursor": null,
|
| 2805 |
"query": "\"digital humanities\" NLP in:name,description,readme stars:5000..9999"
|
| 2806 |
},
|
| 2807 |
"recall.disease-surveillance": {
|
| 2808 |
-
"complete":
|
| 2809 |
"cursor": null,
|
| 2810 |
"query": "\"disease surveillance\" machine learning in:name,description,readme stars:5000..9999"
|
| 2811 |
},
|
| 2812 |
"recall.educational-recommendation": {
|
| 2813 |
-
"complete":
|
| 2814 |
"cursor": null,
|
| 2815 |
"query": "\"educational recommendation\" in:name,description,readme stars:5000..9999"
|
| 2816 |
},
|
| 2817 |
"recall.epidemic-forecasting": {
|
| 2818 |
-
"complete":
|
| 2819 |
"cursor": null,
|
| 2820 |
"query": "\"epidemic forecasting\" in:name,description,readme stars:5000..9999"
|
| 2821 |
},
|
| 2822 |
"recall.epidemiological-modeling": {
|
| 2823 |
-
"complete":
|
| 2824 |
"cursor": null,
|
| 2825 |
"query": "\"epidemiological modeling\" machine learning in:name,description,readme stars:5000..9999"
|
| 2826 |
},
|
| 2827 |
"recall.grid-stability-prediction": {
|
| 2828 |
-
"complete":
|
| 2829 |
"cursor": null,
|
| 2830 |
"query": "\"grid stability prediction\" in:name,description,readme stars:5000..9999"
|
| 2831 |
},
|
| 2832 |
"recall.historical-document-recognition": {
|
| 2833 |
-
"complete":
|
| 2834 |
"cursor": null,
|
| 2835 |
"query": "\"historical document recognition\" in:name,description,readme stars:5000..9999"
|
| 2836 |
},
|
| 2837 |
"recall.infrastructure-damage-detection": {
|
| 2838 |
-
"complete":
|
| 2839 |
"cursor": null,
|
| 2840 |
"query": "\"infrastructure damage detection\" deep learning in:name,description,readme stars:5000..9999"
|
| 2841 |
},
|
| 2842 |
"recall.insurance-risk-modeling": {
|
| 2843 |
-
"complete":
|
| 2844 |
"cursor": null,
|
| 2845 |
"query": "\"insurance risk\" machine learning in:name,description,readme stars:5000..9999"
|
| 2846 |
},
|
| 2847 |
"recall.legal-document-classification": {
|
| 2848 |
-
"complete":
|
| 2849 |
"cursor": null,
|
| 2850 |
"query": "\"legal document classification\" in:name,description,readme stars:5000..9999"
|
| 2851 |
},
|
| 2852 |
"recall.legal-nlp": {
|
| 2853 |
-
"complete":
|
| 2854 |
"cursor": null,
|
| 2855 |
"query": "legal NLP in:name,description,readme stars:5000..9999"
|
| 2856 |
},
|
| 2857 |
"recall.name.artificial-intelligence": {
|
| 2858 |
"complete": false,
|
| 2859 |
-
"cursor":
|
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|
|
|
|
| 2860 |
"query": "\"artificial intelligence\" in:name,description,readme stars:5000..9999"
|
| 2861 |
},
|
| 2862 |
"recall.name.deep-learning": {
|
| 2863 |
"complete": false,
|
| 2864 |
-
"cursor":
|
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|
|
|
|
| 2865 |
"query": "\"deep learning\" in:name,description,readme stars:5000..9999"
|
| 2866 |
},
|
| 2867 |
"recall.name.diffusion-model": {
|
| 2868 |
"complete": false,
|
| 2869 |
-
"cursor":
|
|
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|
|
|
|
| 2870 |
"query": "diffusion model in:name,description,readme stars:5000..9999"
|
| 2871 |
},
|
| 2872 |
"recall.name.foundation-model": {
|
| 2873 |
"complete": false,
|
| 2874 |
-
"cursor":
|
|
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|
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|
|
|
|
| 2875 |
"query": "foundation model in:name,description,readme stars:5000..9999"
|
| 2876 |
},
|
| 2877 |
"recall.name.language-model": {
|
| 2878 |
"complete": false,
|
| 2879 |
-
"cursor":
|
|
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|
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|
|
|
|
| 2880 |
"query": "\"language model\" in:name,description,readme stars:5000..9999"
|
| 2881 |
},
|
| 2882 |
"recall.name.large-language-model": {
|
| 2883 |
"complete": false,
|
| 2884 |
-
"cursor":
|
|
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|
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|
|
|
|
| 2885 |
"query": "\"large language model\" in:name,description,readme stars:5000..9999"
|
| 2886 |
},
|
| 2887 |
"recall.name.machine-learning": {
|
| 2888 |
"complete": false,
|
| 2889 |
-
"cursor":
|
|
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|
|
|
|
|
|
| 2890 |
"query": "\"machine learning\" in:name,description,readme stars:5000..9999"
|
| 2891 |
},
|
| 2892 |
"recall.name.multimodal-model": {
|
| 2893 |
"complete": false,
|
| 2894 |
-
"cursor":
|
|
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|
|
|
|
|
|
|
| 2895 |
"query": "multimodal model in:name,description,readme stars:5000..9999"
|
| 2896 |
},
|
| 2897 |
"recall.name.neural-network": {
|
| 2898 |
"complete": false,
|
| 2899 |
-
"cursor":
|
|
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|
|
|
|
|
|
| 2900 |
"query": "\"neural network\" in:name,description,readme stars:5000..9999"
|
| 2901 |
},
|
| 2902 |
"recall.name.transformer-model": {
|
| 2903 |
"complete": false,
|
| 2904 |
-
"cursor":
|
|
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|
|
|
|
|
|
| 2905 |
"query": "transformer model in:name,description,readme stars:5000..9999"
|
| 2906 |
},
|
| 2907 |
"recall.player-tracking": {
|
| 2908 |
-
"complete":
|
| 2909 |
"cursor": null,
|
| 2910 |
"query": "\"player tracking\" computer vision in:name,description,readme stars:5000..9999"
|
| 2911 |
},
|
| 2912 |
"recall.population-health-prediction": {
|
| 2913 |
-
"complete":
|
| 2914 |
"cursor": null,
|
| 2915 |
"query": "\"population health prediction\" in:name,description,readme stars:5000..9999"
|
| 2916 |
},
|
| 2917 |
"recall.power-system-forecasting": {
|
| 2918 |
-
"complete":
|
| 2919 |
"cursor": null,
|
| 2920 |
"query": "\"power system forecasting\" in:name,description,readme stars:5000..9999"
|
| 2921 |
},
|
| 2922 |
"recall.social-media-analysis": {
|
| 2923 |
-
"complete":
|
| 2924 |
"cursor": null,
|
| 2925 |
"query": "\"social media analysis\" NLP in:name,description,readme stars:5000..9999"
|
| 2926 |
},
|
| 2927 |
"recall.sports-analytics": {
|
| 2928 |
-
"complete":
|
| 2929 |
"cursor": null,
|
| 2930 |
"query": "\"sports analytics\" model in:name,description,readme stars:5000..9999"
|
| 2931 |
},
|
| 2932 |
"recall.structural-health-monitoring": {
|
| 2933 |
-
"complete":
|
| 2934 |
"cursor": null,
|
| 2935 |
"query": "\"structural health monitoring\" machine learning in:name,description,readme stars:5000..9999"
|
| 2936 |
},
|
| 2937 |
"recall.student-performance-prediction": {
|
| 2938 |
-
"complete":
|
| 2939 |
"cursor": null,
|
| 2940 |
"query": "\"student performance prediction\" in:name,description,readme stars:5000..9999"
|
| 2941 |
},
|
| 2942 |
"recall26.audio-language-model": {
|
| 2943 |
-
"complete":
|
| 2944 |
"cursor": null,
|
| 2945 |
"query": "\"audio language model\" in:description,readme stars:5000..9999"
|
| 2946 |
},
|
| 2947 |
"recall26.class-imbalance": {
|
| 2948 |
-
"complete":
|
| 2949 |
"cursor": null,
|
| 2950 |
"query": "\"class imbalance\" \"machine learning\" in:description,readme stars:5000..9999"
|
| 2951 |
},
|
| 2952 |
"recall26.image-dehazing": {
|
| 2953 |
-
"complete":
|
| 2954 |
"cursor": null,
|
| 2955 |
"query": "\"image dehazing\" in:description,readme stars:5000..9999"
|
| 2956 |
},
|
| 2957 |
"recall26.image-denoising": {
|
| 2958 |
-
"complete":
|
| 2959 |
"cursor": null,
|
| 2960 |
"query": "\"image denoising\" in:description,readme stars:5000..9999"
|
| 2961 |
},
|
| 2962 |
"recall26.long-tailed-recognition": {
|
| 2963 |
-
"complete":
|
| 2964 |
"cursor": null,
|
| 2965 |
"query": "\"long-tailed recognition\" in:description,readme stars:5000..9999"
|
| 2966 |
},
|
| 2967 |
"recall26.low-light-enhancement": {
|
| 2968 |
-
"complete":
|
| 2969 |
"cursor": null,
|
| 2970 |
"query": "\"low-light image enhancement\" in:description,readme stars:5000..9999"
|
| 2971 |
},
|
| 2972 |
"recall26.sign-language": {
|
| 2973 |
-
"complete":
|
| 2974 |
"cursor": null,
|
| 2975 |
"query": "\"sign language\" in:description,readme stars:5000..9999"
|
| 2976 |
},
|
| 2977 |
"recall26.visual-grounding": {
|
| 2978 |
-
"complete":
|
| 2979 |
"cursor": null,
|
| 2980 |
"query": "\"visual grounding\" in:description,readme stars:5000..9999"
|
| 2981 |
},
|
| 2982 |
"rl.bandits": {
|
| 2983 |
-
"complete":
|
| 2984 |
"cursor": null,
|
| 2985 |
"query": "\"multi-armed bandit\" in:description stars:5000..9999"
|
| 2986 |
},
|
| 2987 |
"rl.continual": {
|
| 2988 |
-
"complete":
|
| 2989 |
"cursor": null,
|
| 2990 |
"query": "\"continual reinforcement learning\" in:description,readme stars:5000..9999"
|
| 2991 |
},
|
| 2992 |
"rl.core": {
|
| 2993 |
-
"complete":
|
| 2994 |
"cursor": null,
|
| 2995 |
"query": "topic:reinforcement-learning stars:5000..9999"
|
| 2996 |
},
|
| 2997 |
"rl.deep": {
|
| 2998 |
-
"complete":
|
| 2999 |
"cursor": null,
|
| 3000 |
"query": "\"deep reinforcement learning\" in:description stars:5000..9999"
|
| 3001 |
},
|
| 3002 |
"rl.deep-q-learning": {
|
| 3003 |
-
"complete":
|
| 3004 |
"cursor": null,
|
| 3005 |
"query": "\"deep q-learning\" in:description stars:5000..9999"
|
| 3006 |
},
|
| 3007 |
"rl.distributional": {
|
| 3008 |
-
"complete":
|
| 3009 |
"cursor": null,
|
| 3010 |
"query": "\"distributional reinforcement learning\" in:description,readme stars:5000..9999"
|
| 3011 |
},
|
| 3012 |
"rl.exploration": {
|
| 3013 |
-
"complete":
|
| 3014 |
"cursor": null,
|
| 3015 |
"query": "\"reinforcement learning exploration\" in:description stars:5000..9999"
|
| 3016 |
},
|
| 3017 |
"rl.games": {
|
| 3018 |
-
"complete":
|
| 3019 |
"cursor": null,
|
| 3020 |
"query": "topic:game-ai stars:5000..9999"
|
| 3021 |
},
|
| 3022 |
"rl.hierarchical": {
|
| 3023 |
-
"complete":
|
| 3024 |
"cursor": null,
|
| 3025 |
"query": "\"hierarchical reinforcement learning\" in:description stars:5000..9999"
|
| 3026 |
},
|
| 3027 |
"rl.imitation-learning": {
|
| 3028 |
-
"complete":
|
| 3029 |
"cursor": null,
|
| 3030 |
"query": "\"imitation learning\" in:description stars:5000..9999"
|
| 3031 |
},
|
| 3032 |
"rl.inverse": {
|
| 3033 |
-
"complete":
|
| 3034 |
"cursor": null,
|
| 3035 |
"query": "\"inverse reinforcement learning\" in:description stars:5000..9999"
|
| 3036 |
},
|
| 3037 |
"rl.model-based": {
|
| 3038 |
-
"complete":
|
| 3039 |
"cursor": null,
|
| 3040 |
"query": "\"model-based reinforcement learning\" in:description stars:5000..9999"
|
| 3041 |
},
|
| 3042 |
"rl.model-free": {
|
| 3043 |
-
"complete":
|
| 3044 |
"cursor": null,
|
| 3045 |
"query": "\"model-free reinforcement learning\" in:description stars:5000..9999"
|
| 3046 |
},
|
| 3047 |
"rl.multiagent": {
|
| 3048 |
-
"complete":
|
| 3049 |
"cursor": null,
|
| 3050 |
"query": "\"multi-agent reinforcement learning\" in:description stars:5000..9999"
|
| 3051 |
},
|
| 3052 |
"rl.offline": {
|
| 3053 |
-
"complete":
|
| 3054 |
"cursor": null,
|
| 3055 |
"query": "\"offline reinforcement learning\" in:description stars:5000..9999"
|
| 3056 |
},
|
| 3057 |
"rl.planning": {
|
| 3058 |
-
"complete":
|
| 3059 |
"cursor": null,
|
| 3060 |
"query": "\"reinforcement learning planning\" in:description stars:5000..9999"
|
| 3061 |
},
|
| 3062 |
"rl.policy-gradient": {
|
| 3063 |
-
"complete":
|
| 3064 |
"cursor": null,
|
| 3065 |
"query": "\"policy gradient\" in:description stars:5000..9999"
|
| 3066 |
},
|
| 3067 |
"rl.ppo": {
|
| 3068 |
-
"complete":
|
| 3069 |
"cursor": null,
|
| 3070 |
"query": "\"proximal policy optimization\" in:description stars:5000..9999"
|
| 3071 |
},
|
| 3072 |
"rl.preference": {
|
| 3073 |
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|
|
@@ -4215,7 +4435,7 @@
|
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|
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|
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|
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|
|
|
| 2655 |
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|
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|
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|
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|
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|
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|
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|
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| 2695 |
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