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Discover 321 open source projects
Showing 241-260 of 321 projects
mit-han-lab/torchsparse
Efficient training and inference framework for sparse convolution on GPUs, useful for AI and ML developers.
Lightning-AI/lightning-thunder
PyTorch compiler that accelerates training and inference with built-in optimizations.
yinwang0/pysonar2
PySonar2 is a semantic indexer for Python with interprocedual type inference, providing advanced code analysis and intelligence.
inference-labs-inc/n-ary_notebooks
Repository providing notebooks for mathematical analysis, algorithm implementations, and protocol optimization techniques.
OpenCSGs/csghub-server
csghub-server is a backend server for managing datasets, models, and running inference/finetuning for AI/ML applications.
High-Logic/Genie-TTS
A GPT-SoVITS ONNX Inference Engine & Model Converter to enable voice cloning and text-to-speech for developers.
envoyproxy/ai-gateway
Envoy-based API gateway that manages unified access to generative AI services like GPT, DALL-E, and Stable Diffusion.
Nano-Collective/nanocoder
A community-driven, local-first coding agent that integrates with AI tools like OpenAI and OLLaMA.
paul-buerkner/brms
R package for Bayesian generalized multivariate non-linear multilevel models using Stan
sauravpanda/BrowserAI
Run local LLMs like llama, deepseek-distill, kokoro and more inside your browser
sdcb/PaddleSharp
A .NET/C# binding for Baidu's Paddle Inference library and PaddleOCR, enabling AI/ML integrations.
MIC-DKFZ/medicaldetectiontoolkit
A toolbox for training and deploying object detectors and segmentation models on medical images using PyTorch.
microsoft/edgeai-for-beginners
This course teaches beginners about Edge AI, including concepts, models, inference, optimization, and developing intelligent Edge AI agents.
ebhy/budgetml
Deploy a lightweight ML inference service with a budget-friendly setup in just a few lines of code.
jrfiedler/causal_inference_python_code
Python code for causal inference, a book by Miguel Hernán and James Robins.
alibaba/graph-learn
An industrial-grade graph neural network framework for building large-scale graph-based AI applications.
uxlfoundation/scikit-learn-intelex
Seamless integration of Scikit-learn with Intellex for AI inference and machine learning applications
meta-pytorch/segment-anything-fast
A fast offline inference version of the Segment Anything Model (SAM) for PyTorch developers.
hao-ai-lab/LookaheadDecoding
A Python library that breaks the sequential dependency of LLM inference using lookahead decoding for faster AI model inference.
nix-community/nix-init
A Rust tool that generates Nix packages from URLs with hash prefetching, dependency inference, and more.
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