Tensors and Dynamic neural networks in Python with strong GPU acceleration
- neural-network
- autograd
- gpu
- numpy
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ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
A WebGL accelerated JavaScript library for training and deploying ML models.
- deep-learning
- typescript
- webgl
- javascript
NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.
- tensorrt
- nvidia
- deep-learning
- inference
Self-hosted, local only NVR and AI Computer Vision software. With features such as object detection, motion detection, face recognition and more, it gives you the power to keep an eye on your home, office or any other place you want to monitor.
- nvr
- network-video-capture
- network-video-recorder
- tensorflow
Make videos on the computer you already own. FreeVideo runs MiniMax H3 in as little as 8 GB of VRAM and 16 GB of RAM, and adapts its acceleration path to your hardware.
java deep learning algorithms and deep neural networks with gpu acceleration
A JavaScript library like PyTorch, with GPU acceleration.
- automatic-differentiation
- deep-learning
- javascript-library
- neural-networks
QKeras: a quantization deep learning library for Tensorflow Keras
- deep-learning
- quantization
- quantized-neural-networks
- hardware-acceleration
[ECCV 2026] Official implementation of "HRDiT: Training-Free High-Resolution Image Generation with Off-the-Shelf Diffusion Transformer Models"
- diffusion-transformers
- eccv2026
- image-generation
- training-free
Powerful Powerful Machine Learning library with GPU, CPU and WASM backends
Clojure library for CUDA development
- clojure-library
- clojure
- cuda-development
- cuda
Go's answer to pandas + scikit-learn: a batteries-included data analysis library with dataframes, statistics, machine learning, quant, and GPU acceleration. Run Python with seamless two-way variable sharing, or explore data straight from the Insyra CLI.