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Curated list of the best truly open-source AI projects, models, tools, and infrastructure. Daily updated.
GitHub stars and default-branch commits for alvinreal/awesome-opensource-ai.
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FlashInfer: Kernel Library for LLM Serving
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
Standardized Distributed Generative and Predictive AI Inference Platform for Scalable, Multi-Framework Deployment on Kubernetes
Supercharge Your Model Training
Probabilistic time series modeling in Python
Time series forecasting with PyTorch
An Engine-Agnostic Deep Learning Framework in Java
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.
LLM training code for Databricks foundation models
Open-source evaluation toolkit of large multi-modality models (LMMs), support 220+ LMMs, 80+ benchmarks
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.
A retargetable MLIR-based machine learning compiler and runtime toolkit.
The official Python client for the Hugging Face Hub.
AI Infra / AI Orchestration / AI Control Plane
🚀 Accelerate inference and training of 🤗 Transformers, Diffusers, TIMM and Sentence Transformers with easy to use hardware optimization tools
Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2
Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
PyTorch native quantization and sparsity for training and inference
Data manipulation and transformation for audio signal processing, powered by PyTorch
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
Machine learning metrics for distributed, scalable PyTorch applications.
Automated Machine Learning on Kubernetes
A Data Streaming Library for Efficient Neural Network Training
The good ol' Forge WebUI, now updated with new features~
An open source DevOps tool from the CNCF for packaging and versioning AI/ML models, datasets, code, and configuration into an OCI Artifact.
Scalable and memory-optimized training of diffusion models
FAIR Sequence Modeling Toolkit 2