1,038 skills found · Page 2 of 35
VILA-Lab / Awesome DLMsThe official GitHub repo for the survey paper "A Survey on Diffusion Language Models".
raphaelmansuy / Code2promptCode2Prompt is a powerful command-line tool that simplifies the process of providing context to Large Language Models (LLMs) by generating a comprehensive Markdown file containing the content of your codebase. ⭐ If you find Code2Prompt useful, consider giving us a star on GitHub! It helps us reach more developers and improve the tool. ⭐
graphql-compose / Graphql Compose MongooseMongoose model converter to GraphQL types with resolvers for graphql-compose https://github.com/nodkz/graphql-compose
rbgirshick / Voc DpmObject detection system using deformable part models (DPMs) and latent SVM (voc-release5). You may want to use the latest tarball on my website. The github code may include code changes that have not been tested as thoroughly and will not necessarily reproduce the results on the website.
zli12321 / Vision Language Models OverviewA most Frontend Collection and survey of vision-language model papers, and models GitHub repository. Continuous updates.
SeekingDream / Static To Dynamic LLMEvalThe official GitHub repository of the paper "Recent advances in large language model benchmarks against data contamination: From static to dynamic evaluation"
abhionlyone / Us Car Models DataIntroducing the most comprehensive and up-to-date open source dataset on US car models on Github. With over 15,000 entries covering car models manufactured between 1992 and 2023, this repository offers valuable information for anyone looking to incorporate car data into their applications. Best of all, it's completely free to use!
lichao-sun / SoraReviewThe official GitHub page for the review paper "Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models".
nickchen121 / Pre Training Language Model博客配套视频链接: https://space.bilibili.com/383551518?spm_id_from=333.1007.0.0 b 站直接看 配套 github 链接：https://github.com/nickchen121/Pre-training-language-model 配套博客链接：https://www.cnblogs.com/nickchen121/p/15105048.html
withinmiaov / A Survey On Mixture Of Experts In LLMs[TKDE'25] The official GitHub page for the survey paper "A Survey on Mixture of Experts in Large Language Models".
Kurama622 / Llm.nvimA large language model (LLM) plugin for Neovim, provides commands to interact with LLM (like ChatGPT, Copilot, ChatGLM, kimi, deepseek, openrouter and local llms). Support Github models.
actions / AI InferenceAn action for calling AI models with GitHub Models
brooklyn-data / Dbt ArtifactsA dbt package for modelling dbt metadata. https://brooklyn-data.github.io/dbt_artifacts
Atomic-man007 / Awesome Multimodel LLMAwesome_Multimodel is a curated GitHub repository that provides a comprehensive collection of resources for Multimodal Large Language Models (MLLM). It covers datasets, tuning techniques, in-context learning, visual reasoning, foundational models, and more. Stay updated with the latest advancement.
asyml / Vision Transformer PytorchPytorch version of Vision Transformer (ViT) with pretrained models. This is part of CASL (https://casl-project.github.io/) and ASYML project.
SAP / Credential DiggerA Github scanning tool that identifies hardcoded credentials while filtering the false positive data through machine learning models :lock:
shicai / DenseNet CaffeDenseNet Caffe Models, converted from https://github.com/liuzhuang13/DenseNet
cryos / AvogadroAvogadro 1 is not under active development, the repository was archived in September 2021. Development of Avogadro 2 is being done at https://github.com/openchemistry/avogadrolibs. Avogadro is an advanced molecular editor designed for cross-platform use in computational chemistry, molecular modeling, bioinformatics, materials science, and related areas.
Azure-Samples / Python Openai DemosA collection of short examples using the Python OpenAI SDK, with either Azure OpenAI or GitHub Models as the host.
bing-jian / GmmregImplementations of the robust point set registration algorithm described in "Robust Point Set Registration Using Gaussian Mixture Models", Bing Jian and Baba C. Vemuri, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2011, 33(8), pp. 1633-1645. For a Python implementation, please refer to http://github.com/bing-jian/gmmreg-python.
