The collection is actively updated with the help of an internal literature search engine.
| Code Model List | | Popular Code Model List | | Paper List | | Paper Stats |
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NoCrypt/fast-repo | TabbyML/SantaCoder-1B | michaelfeil/ct2fast-starchat-alpha |
mantra-coding/alBERTo | michaelfeil/ct2fast-starcoderbase | michaelfeil/ct2fast-starcoder |
bigcode/tiny_starcoder_py | kevinpro/Vicuna-13B-CoT | jiezhou1996/test |
Soliai/Soli | bigcode/gpt_bigcode-santacoder | michaelfeil/ct2fast-gpt_bigcode-santacoder |
dushigao/yolov4 | bigcode/starcoder | rustformers/bloom-ggml |
rustformers/bloomz-ggml | mishasadhaker/codet5_large_typescript | sahil2801/instruct-codegen-16B |
jokerLang/aa | CNXT/CHaTx | sadiqj/camlcoder |
omegaodin/replit-replit-code-v1-3b | replit/replit-code-v1-3b | teknium/Replit-v1-CodeInstruct-3B-fp16 |
teknium/Replit-v1-CodeInstruct-3B | kkhan/gpt2-medium-iba-txt | 4bit/Replit-v1-CodeInstruct-3B |
bigscience/bloomz-560m | bigscience/bloomz-1b1 | bigscience/bloomz-1b7 |
bigscience/bloomz-3b | bigscience/bloomz-7b1 | bigscience/bloomz |
Neupane9Sujal/Text_Summarization | betelguesestudios/ChatDBD | azizp128/emotion-predictor-indobert |
zirui3/starcoder-ft-zh | zjunlp/CaMA-13B-LoRA | zjunlp/CaMA-13B-Diff |
Aryan2003/roberta_job | zchflyer/test11 | EnterNameBros/DialoGPT-small-Senko-san-ver-2 |
dev2bit/es2bash-mt5 | omegaodin/gpt2 | Fsoft-AIC/Codebert-docstring-inconsistency |
HuggingFaceH4/starchat-alpha | AsakusaRinne/LLamaSharpSamples | AlexWortega/wortegaLM-1b |
huolongguo10/check_sec_tiny | NeoDim/starcoder-GGML | NeoDim/starcoderbase-GGML |
NeoDim/starchat-alpha-GGML | christinacdl/moderate_severe_depression_model | KinglyCrow/pythia-3b-deduped-sft-r1-python-finetuned |
Binaryy/blender-bot-distill-finetuned | Fredithefish/CrimsonPajama | showpiece/donut4cover_of_books |
OdiaGenAI/odiagenAI-model-v1 | NatLee/openpose-keras-model | pratikcha/DummyModelTest |
up201806461/BFP-combined | baotoan2002/GPT-2 | brandit/atharv.1 |
BlackBull/yeet | wandisun/generate_testcase | pszemraj/bart-large-code-instructiongen |
redlinezh/redlinezh | erichilarysmithsr/Quality-of-Life-Games | AlexWortega/wortegaLM |
rishiraj/starchat | bigcode/starcoder-megatron | bigcode/starcoderbase-megatron |
bigcode/santacoder | bigscience/bloom-1b7 | bigscience/bloom-560m |
bigcode/starpii | bigcode/starcoderbase | APJ23/MultiHeaded_Sentiment_Analysis_Model |
lentan/replit | bigcode/starencoder | jitesh/emotion-english |
TinaLiHF/fined-tuned-T5small | tmnam20/codebert-code-summarization | Vipitis/santacoder-finetuned-the-stack-glsl |
Vipitis/santacoder-finetuned-Shadertoys-fine | Vipitis/santacoder-finetuned-Shadertoys | tabbleman/test |
huolongguo10/check_sec | HelloImSteven/AppleScript-Summarizer | duncan93/video |
alexpaul/QI-Large-v1 | JeanL-0/ChatAnswering-PTBR | jitroy07/BOT |
Rirou360/test | RafMuz/alpaca7B-lora | Akhil0-o/saved_model_links |
TrippingFollowing39/AMOGUS | Akhil0-o/saved_model_body | MrRainbow/RainbowGPT |
Akhil0-o/Phishing_detection | Ilangraterol/Dataset_model | AlexWortega/instruct_rugptlarge |
MLRush/chinese-chat-30m | MLRush/chinese-lm-30m | ParsaKgvr/mmdGPT |
ParsaKgvr/mmdBERT | dorkai/codeX-1.0 | OtterDev/otterchat |
Phonecharger/WLAsw1 | MatthiasPi/ActiveLearningModel-WAR-WassersteinActiveRegression | Wannita/baseline_codecompletion |
ybelkada/bloom-1b7-8bit | kelly233/test_model | ArmelR/AlpacaCode512 |
bigscience/bloom-3b | lambdasec/santafixer | ybelkada/bloom-560m-8bit |
PromptKing/GTA5_PROCESS_LEARNING_AI | Qrstud/ANCs | HTP/CHaTx |
LYFCJJ/anythingv45-cjj-diffusers | hakurei/instruct-12b | Dirus/GPTOWN |
TeamGZG/toxic-comment-classification-project | MarTinSForZZa/Innerversal | newsrx/bloomz-7b1 |
0x7194633/pyGPT-50M | dhnchandan/huggingface | RomanTeucher/PythonCoder |
bigscience/bloom | edbeeching/llama-se-rl-adapter | TheEeeeLin/test |
olivierdehaene/optimized-santacoder | Mauquoi-00/Teenage_Gender_Classification | Esly35i/Esmoli |
zee2221/ai_me | urmom12349823/AItext | manstepharder/hangi |
Sentdex/GPyT | lxe/Cerebras-GPT-2.7B-Alpaca-SP | akone/bloomgpt |
TSjB/mbart-large-52-qm-ru-v1 | Wannita/PyCoder | mazeratti/creative |
TabbyML/NeoX-1.3B | pszemraj/bart-base-code-instructiongen | AlexWortega/instruct_rugptMedium |
vernin/maylora | valooo/test | amongusrickroll68/MeloMind |
amongusrickroll68/TextImagine-1.0-March-2023 | badmatr11x/distilroberta-base-offensive-hateful-speech-text-multiclassification | Techh/speed_car_policee |
Ar4ikov/gpt2-650k-stable-diffusion-prompt-generator | bigscience/distill-bloom-1b3 | CAUKiel/JavaBERT |
emre/java-RoBERTa-Tara-small | Ashokajou51/NonToxicCivilBert | thevyasamit/bert_fake_news_classification |
namikazi25/DCNN_on_CIFAR_10 | mdoshi2612/fake-news-detector | CAUKiel/JavaBERT-uncased |
shibing624/code-autocomplete-distilgpt2-python | shibing624/code-autocomplete-gpt2-base | aarnphm/multi-length-text-classification-pipeline |
NITINNANNAPANENI/Ll | rockmiin/ml-codeparrot | Naina07/Fine_tune |
bigscience/bloom-1b1 | bigscience/distill-bloom-1b3-10x | wittyicon/Text-Alchemy |
razent/cotext-1-cc | omarelsayeed/wav2vec2_ar_anz2 | whybeyoung/test |
KonghaYao/MagicPrompt_SD_V1 | zabir-alnazi/fatima-fellowship-ai-gen-detector | Abdullah007/image-classification-ResNet50 |
AlexWortega/instruct_rugptSmall | sjiang1/codecse | daeunj/828A |
Ajibola/PaViT | changwh5/BigBiGAN-MNIST-150epoch | Azarthehulk/Image_preprocessing_basics |
nishakathiriya/DR-model | AcrossTheUniverseZ/ATUZGenerator | Roy029/sno_empty |
imharesh/Shabbat | pavanBuduguppa/asr_inverse_text_normalization | NeyroTech/PicKHK |
rapples/png2emb | AlexWortega/taskGPT2-xl-v0.2a | marlenezw/AutoVC_Voice_Conversion |
mrm8488/santacoder-finetuned-the-stack-clojure | BrendaTellez/sounds | BrendaTellez/SoundClassificationCNNRNN |
samkenxstream/AlgoSilicon | samkenxstream/HierarchyMartialsAI | ilahazs/rokashibasakiv1 |
bigscience/bloom-7b1 | bigscience/bloom-560m-intermediate | bigscience/bloom-1b1-intermediate |
bigscience/bloom-3b-intermediate | bigscience/bloom-7b1-intermediate | bigscience/bloomz-mt |
bigscience/bloomz-7b1-mt | bigscience/bloomz-7b1-p3 | bigscience/bloomz-p3 |
bigscience/bloom-1b7-intermediate | mrm8488/santacoder-finetuned-the-stack-swift | Neighhhbor/Test_model |
muhtasham/santacoder-finetuned-the-stack-cobol | muhtasham/santacoder-finetuned-the-stack-assembly | HuggingFaceH4/bloomz-7b1 |
zkep/detr | loubnabnl/santacoder-code-to-text | mrm8488/santacoder-finetuned-the-stack-bash-shell |
Thyral/Testing | noahshinn024/santacoder-ts | el-profesor/code_t5 |
K8778/universe | CarperAI/diff-codegen-6b-v2 | CarperAI/diff-codegen-2b-v2 |
CarperAI/diff-codegen-350m-v2 | 96harsh56/bert_test2 | aminian/ML-final-project |
microsoft/codereviewer | facebook/incoder-1B | facebook/incoder-6B |
MrFitzmaurice/roberta-finetuned-topic-5 | mble/nameToStdName | aadvari/movie-recommender |
aparnabhat/kannada-ner | Kaliel456/Lynn | bigcode/santacoder-megatron |
Salesforce/codegen2-1B | Salesforce/codegen2-3_7B | Salesforce/codegen2-7B |
Click to expand!
mrm8488/bloom-560m-finetuned-the-stack-rust | smallcloudai/codify_medium_multi | smallcloudai/codify_3b_multi |
anjandash/JavaBERT-small | anjandash/JavaBERT-mini | saikatc/NatGen |
Nokia/nlgp-docstring | alecsharpie/codegen_350m_html | alecsharpie/codegen_350m_css |
CarperAI/diff-codegen-350m-v1 | giulio98/codegen-350M-multi-xlcost-v2 | giulio98/codegen-350M-multi-xlcost |
Nokia/nlgp-natural | model-attribution-challenge/bloom-560m | CarperAI/FIM-NeoX-1.3B |
model-attribution-challenge/bloom-2b5 | huggingface/CodeBERTa-language-id | codeparrot/codeparrot-small-code-to-text |
moyix/csrc_774m | codeparrot/unixcoder-java-complexity-prediction | codeparrot/codeparrot-small-text-to-code |
bigscience/bloom-optimizer-states | model-attribution-challenge/bloom-350m | little-star/good_model |
codeparrot/codeparrot-small-multi | bigscience/bloom-intermediate | bigscience/tr11-176B-logs |
codeparrot/codeparrot-small | huggingface/CodeBERTa-small-v1 | codeparrot/codeparrot |
lvwerra/test_card | razent/spbert-mlm-base | razent/spbert-mlm-wso-base |
razent/spbert-mlm-zero | razent/cotext-2-cc | razent/cotext-1-ccg |
ietz/distilroberta-base-finetuned-jira-qt-issue-titles-and-bodies | ietz/distilroberta-base-finetuned-jira-qt-issue-title |
Click to expand!
mrm8488/codeBERTaJS | mrm8488/CodeBERTaPy |
Year-Id | Model Name | Paper | # of Parameters /Model Size | Open Source? |
---|---|---|---|---|
2023-4 | CodeGen2 | link | [1B, 3.7B, 7B, 16B] | source |
2023-3 | CodeT5+ | link | [220M, 770M, 2B, 6B, 16B] | source |
2023-2 | StarCoder | link | [15B] | source |
2023-1 | CodeGeeX | link | [13B] | source |
2022-2 | InCoder | link | [1.3B/2.62GB, 6B(26.6GB)] | source |
2022-1 | CodeGen | link | [350M, 2B, 6B, 16B] | source |
2021-1 | CodeT5 | link | [770M/892MB] | source |
2020-2 | GraphCodeBERT | link | source | |
2020-1 | CodeBERT | link | source |
Task Tags
Click to expand!
Venue | Count |
---|---|
ICSE | 10 |
FSE | 7 |
ASE | 9 |
ISSTA | 2 |
TSE | 2 |
TOSEM | 0 |
EMSE | 1 |
ICSME | 3 |
SANER | 4 |
MSR | 0 |
Venue | Count |
---|---|
2023 | 1 |
2022 | 27 |
2021 | 7 |
2020 | 3 |
Powered by an automation tool, mainteners routinary check for new program repair papers that appear in the venues below:
- Software Engineering Domain:
- ICSE: International Conference on Software Engineering
- FSE: The ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering
- ASE: IEEE/ACM International Conference on Automated Software Engineering
- ISSTA: International Symposium on Software Testing and Analysis
- ICSME: IEEE International Conference on Software Maintenance and Evolution
- MSR: IEEE Working Conference on Mining Software Repositories
- SANER: IEEE International Conference on Software Analysis, Evolution, and Reengineering
- Software Engineering Domain:
- TSE: IEEE Transactions on Software Engineering
- TOSEM: ACM Transactions on Software Engineering and Methodology
- EMSE: Empirical Software Engineering
The easiest way to contribute is to submit a paper with verified information via GitHub issues. Only url of the paper should be already enough. The mainteiner will add accordingly and keep you updated in the issue conversation.
Alternatively, you can create a pull request. For that, you need to strictly follow the format.
Any other suggestion to improve this repository is also highly welcomed via GitHub issues.