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Gestell studies PTX, SASS, compiler lowering, and GPU execution behavior.

Open Bilingual Pre-Trained Model, quantization of ChatGLM-130B, can run on consumer-level GPUs.

Implementation of model parallel autoregressive transformers on GPUs, based on the DeepSpeed library.

GPU cluster manager for running and managing LLMs.

Run Keras models in the browser, with GPU support provided by WebGL 2.

Simple API for Neural Network. Better for image processing with CPU/GPU + Transfer Learning.

Clojure Fast Matrix Library - GPU and native CPU.

Accelerate AI training, power complex simulations, and render faster with NVIDIA H100 GPUs on Paperspace. Easy setup, cost-effective cloud compute.

An app and guide to easily configure Windows, Linux, MacOS, Google TV, Stremio, Home Assistant and more (including WSL2, GPU drivers & development tools). Improve your UX & productivity.

Tensors and Dynamic neural networks in Python with strong GPU acceleration.

Open source GPU accelerated data science libraries.

Fast MATLAB-syntax runtime with automatic CPU/GPU execution and fused array kernels.

High-performance, high-precision CPU, GPU, and memory profiler for Python.

Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters, has python API.

Inference engine for TensorRT on Nvidia GPUs.

Creates or edits images with generative models and visual controls.

Discord invite for joining a related community, support server, updates, or project discussion.

Velda - Run GPU training and batch jobs instantly from your dev environment, no code change or manifest.

GPU-based high-performance interactive OpenGL 2D/3D data visualization library.