455 skills found · Page 1 of 16
NVIDIA / DeepLearningExamplesState-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
PKU-YuanGroup / Open Sora PlanThis project aim to reproduce Sora (Open AI T2V model), we wish the open source community contribute to this project.
facebookresearch / SlowFastPySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.
jscad / OpenJSCAD.orgJSCAD is an open source set of modular, browser and command line tools for creating parametric 2D and 3D designs with JavaScript code. It provides a quick, precise and reproducible method for generating 3D models, and is especially useful for creating ready-to-print 3D designs.
stanford-crfm / HelmHolistic Evaluation of Language Models (HELM) is an open source Python framework created by the Center for Research on Foundation Models (CRFM) at Stanford for holistic, reproducible and transparent evaluation of foundation models, including large language models (LLMs) and multimodal models.
yoshitomo-matsubara / TorchdistillA coding-free framework built on PyTorch for reproducible deep learning studies. PyTorch Ecosystem. 🏆26 knowledge distillation methods presented at TPAMI, CVPR, ICLR, ECCV, NeurIPS, ICCV, AAAI, etc are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.
facebookresearch / CwmResearch code artifacts for Code World Model (CWM) including inference tools, reproducibility, and documentation.
marin-community / LevanterLegible, Scalable, Reproducible Foundation Models with Named Tensors and Jax
mlcommons / CkCollective Knowledge (CK), Collective Mind (CM/CMX) and MLPerf automations: community-driven projects to facilitate collaborative and reproducible research and to learn how to run AI, ML, and other emerging workloads more efficiently and cost-effectively across diverse models, datasets, software, and hardware using MLPerf methodology and benchmarks
abacusai / Long ContextThis repository contains code and tooling for the Abacus.AI LLM Context Expansion project. Also included are evaluation scripts and benchmark tasks that evaluate a model’s information retrieval capabilities with context expansion. We also include key experimental results and instructions for reproducing and building on them.
facebookresearch / BenchMARLBenchMARL is a library for benchmarking Multi-Agent Reinforcement Learning (MARL). BenchMARL allows to quickly compare different MARL algorithms, tasks, and models while being systematically grounded in its two core tenets: reproducibility and standardization.
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.
stepfun-ai / SteptronOssA lightweight, AI-native training framework for large language models. Designed for fast iteration, reproducible experiments, and modular configuration across SFT, RLVR, and evaluation workflows.
dpkingma / Nips14 SslCode for reproducing results of NIPS 2014 paper "Semi-Supervised Learning with Deep Generative Models"
YaoYao1995 / MEEECode to reproduce the experiments in Sample Efficient Reinforcement Learning via Model-Ensemble Exploration and Exploitation (MEEE).
danieltan07 / DagmmMy attempt at reproducing the paper Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection
TheDesignFounder / DreamLayerBenchmark diffusion models faster. Automate evals, seeds, and metrics for reproducible results.
whyzhow / Kaggle NeurIPS Open Polymer Prediction 2025 Silver Algorithm OverviewAn improved and reproducible implementation of a Silver Medal Kaggle NeurIPS Open Polymer Prediction solution, featuring SMILES canonicalization, molecular descriptors, CatBoost/XGBoost models, OOF stacking, and optional PyTorch Geometric GNNs.
microsoft / Vs Tools For AIVisual Studio Tools for AI is a free Visual Studio extension to build, test, and deploy deep learning / AI solutions. It seamlessly integrates with Azure Machine Learning for robust experimentation capabilities, including but not limited to submitting data preparation and model training jobs transparently to different compute targets. Additionally, it provides support for custom metrics and run history tracking, enabling data science reproducibility and auditing. Enterprise ready collaboration, allow to securely work on project with other people.
mat10d / EvolveProThis is the offical codebase to reproduce and use EVOLVEpro, a model for in silico directed evolution of protein activities using few-shot active learning.
