Datasets:
Upload data/2023/05/30.json with huggingface_hub
Browse files- data/2023/05/30.json +1085 -0
data/2023/05/30.json
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1 |
+
{
|
2 |
+
"name": [
|
3 |
+
"wtarit/th-en-machine-translation",
|
4 |
+
"danielAlgabad/TFG_ted_talks_bot",
|
5 |
+
"metaphors/TibetanPLMsFineTuning",
|
6 |
+
"cwdata-com/peft",
|
7 |
+
"croesuslab/MultiBiasTextRank",
|
8 |
+
"aws-samples/amazon-sagemaker-immersion-day-for-research",
|
9 |
+
"rezaqorbani/TextpressoMachine",
|
10 |
+
"alimagedayad/Gradproj",
|
11 |
+
"finiteautomata/pytorch-language-models",
|
12 |
+
"hemanthkrishna1298/openfabric-science-chatbot",
|
13 |
+
"sradc/pretraining-BERT",
|
14 |
+
"sidd6p/Bike-Sharing-Demand",
|
15 |
+
"phillipmortimer/mlops2023",
|
16 |
+
"PDDeane/LTRC_Workshop",
|
17 |
+
"IvanaXu/TianChiProj",
|
18 |
+
"simondanielsson/SEB-OpenQA",
|
19 |
+
"MadKingAaron/NextStepPredictor",
|
20 |
+
"zgMin/mm-cot-cl_enhance",
|
21 |
+
"drustanyjt/t5-for-sparql",
|
22 |
+
"eminorhan/babylm-evals",
|
23 |
+
"erezbadash/ANLP-ex1",
|
24 |
+
"LewisLee26/Enigma_Ciphertext-only_Attack",
|
25 |
+
"manas-kgp112/Customer-Churn-Prediction-IBM-Telco-",
|
26 |
+
"kylanoneal/Senior-Project-Text-Summarization-WebApp",
|
27 |
+
"jkeam/semantic-searcher",
|
28 |
+
"zhuyunqi96/LoraLPrun",
|
29 |
+
"watanabe-baketsu/sequence-classification-lora",
|
30 |
+
"airinkonno/Text-Summarizer-BART",
|
31 |
+
"SALT-NLP/LLMs_for_CSS",
|
32 |
+
"idvorkin/modal-examples",
|
33 |
+
"Kwonrince/Implicit_summarization__ESWA",
|
34 |
+
"Skylark0924/HuggingFace-finetune-tutorial",
|
35 |
+
"rimskyho1/EN-DE-Translation-Project",
|
36 |
+
"GKVStory/Final-Project",
|
37 |
+
"Glavin001/llm-trainer",
|
38 |
+
"OpenAccess-AI-Collective/axolotl",
|
39 |
+
"yaqoob9/random",
|
40 |
+
"Navezjt/qlora",
|
41 |
+
"AmitRanjan235/Bike-Sharing-Demand-Prediction-udacity-AWSMLEScholarship",
|
42 |
+
"rosyvs/isatasr",
|
43 |
+
"jfernsler/ASRS_Classifier",
|
44 |
+
"k-t-81/illust-lab-stable-diffusion",
|
45 |
+
"TheGodALU/HateSpeech_COT_Detection",
|
46 |
+
"itay1itzhak/anlp_ex1",
|
47 |
+
"theQuert/NetKUp",
|
48 |
+
"AIRC-KETI/long-ke-t5",
|
49 |
+
"deep-spin/crest",
|
50 |
+
"Oumar199/fake_real_face_detection_docs",
|
51 |
+
"BrennerG/MA",
|
52 |
+
"rohan598/eeevqa",
|
53 |
+
"Ololkao/ADL22-HW3",
|
54 |
+
"umgupta/jointly-reparametrized-finetuning",
|
55 |
+
"szxiangjn/world-model-for-language-model",
|
56 |
+
"nishkalavallabhi/nercoop2022",
|
57 |
+
"lyuchenyang/Macaw-LLM",
|
58 |
+
"Facico/Chinese-Vicuna",
|
59 |
+
"meng-ma-biomed-AI/qloraLLM",
|
60 |
+
"danyaaivanov/Team_Full_House_PEFT",
|
61 |
+
"RobertChienShiba/2022-Fall-ADL",
|
62 |
+
"zaidalyafeai/ashaar_generation",
|
63 |
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988 |
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0,
|
989 |
+
0,
|
990 |
+
0,
|
991 |
+
0,
|
992 |
+
0,
|
993 |
+
0,
|
994 |
+
0,
|
995 |
+
0,
|
996 |
+
10,
|
997 |
+
0,
|
998 |
+
0,
|
999 |
+
0,
|
1000 |
+
0,
|
1001 |
+
0,
|
1002 |
+
0,
|
1003 |
+
0,
|
1004 |
+
0,
|
1005 |
+
0,
|
1006 |
+
0,
|
1007 |
+
0,
|
1008 |
+
0,
|
1009 |
+
0,
|
1010 |
+
0,
|
1011 |
+
0,
|
1012 |
+
0,
|
1013 |
+
0,
|
1014 |
+
0,
|
1015 |
+
0,
|
1016 |
+
0,
|
1017 |
+
0,
|
1018 |
+
0,
|
1019 |
+
0,
|
1020 |
+
0,
|
1021 |
+
0,
|
1022 |
+
0,
|
1023 |
+
2,
|
1024 |
+
0,
|
1025 |
+
11,
|
1026 |
+
0,
|
1027 |
+
0,
|
1028 |
+
1,
|
1029 |
+
1,
|
1030 |
+
4638,
|
1031 |
+
0,
|
1032 |
+
15,
|
1033 |
+
0,
|
1034 |
+
0,
|
1035 |
+
0,
|
1036 |
+
0,
|
1037 |
+
0,
|
1038 |
+
0,
|
1039 |
+
0,
|
1040 |
+
0,
|
1041 |
+
1,
|
1042 |
+
0,
|
1043 |
+
0,
|
1044 |
+
0,
|
1045 |
+
0,
|
1046 |
+
0,
|
1047 |
+
0,
|
1048 |
+
0,
|
1049 |
+
0,
|
1050 |
+
1,
|
1051 |
+
0,
|
1052 |
+
0,
|
1053 |
+
0,
|
1054 |
+
0,
|
1055 |
+
0,
|
1056 |
+
0,
|
1057 |
+
0,
|
1058 |
+
0,
|
1059 |
+
0,
|
1060 |
+
0,
|
1061 |
+
0,
|
1062 |
+
0,
|
1063 |
+
0,
|
1064 |
+
0,
|
1065 |
+
0,
|
1066 |
+
0,
|
1067 |
+
0,
|
1068 |
+
0,
|
1069 |
+
0,
|
1070 |
+
0,
|
1071 |
+
0,
|
1072 |
+
1,
|
1073 |
+
0,
|
1074 |
+
0,
|
1075 |
+
0,
|
1076 |
+
0,
|
1077 |
+
0,
|
1078 |
+
0,
|
1079 |
+
0,
|
1080 |
+
0,
|
1081 |
+
0,
|
1082 |
+
0,
|
1083 |
+
0
|
1084 |
+
]
|
1085 |
+
}
|