Popular GitHub Repositories for Nesterov Accelerated Sgd

A WebGL accelerated JavaScript library for training and deploying ML models.

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WebGL-accelerated ML // linear algebra // automatic differentiation for JavaScript.

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.

CV-CUDA™ is an open-source, GPU accelerated library for cloud-scale image processing and computer vision.

A portable accelerated data query and LLM-inference engine, written in Rust, for data-grounded AI apps and agents.

Machine Learning University: Accelerated Natural Language Processing Class

BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.

LSTM and QRNN Language Model Toolkit for PyTorch

Lightweight inference library for ONNX files, written in C++. It can run Stable Diffusion XL 1.0 on a RPI Zero 2 (or in 298MB of RAM) but also Mistral 7B on desktops and servers. ARM, x86, WASM, RISC-V supported. Accelerated by XNNPACK.

GPU Accelerated t-SNE for CUDA with Python bindings

Cross-Platform, GPU Accelerated Whisper ??

A WebGPU-accelerated ONNX inference run-time written 100% in Rust, ready for native and the web

FastVideo is a unified framework for accelerated video generation.

Machine Learning University: Accelerated Computer Vision Class

Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow

Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation

Visual SLAM/odometry package based on NVIDIA-accelerated cuVSLAM

Real-time pose estimation accelerated with NVIDIA TensorRT