Visualizer for neural network, deep learning and machine learning models
Modular cross-runtime WebGPU library for shaders, 3D scenes, GPU tensors, neural networks, and math viz
:zap: TensorFlowASR: Almost State-of-the-art Automatic Speech Recognition in Tensorflow 2. Supported languages that can use characters or subwords
A native .NET LLM inference engine and agent runtime for GGUF models. TensorSharp provides a console application, a web-based chatbot interface, iPhone App, and Ollama/OpenAI-compatible HTTP APIs for programmatic access. It supports Windows/MacOS/iOS/Linux with full GPU capability
WeeLLM runs large diffusion models with as little as 4 GB of VRAM, without any quantization. It dynamically determines how many layers can fit within the available VRAM and streams the text encoder and transformer layers to the GPU layer by layer, enabling inference on hardware with limited VRAM. It supports both safetensors and GGUF models.
Native Rust inference server for open models on NVIDIA and Apple Silicon. OpenAI- and Anthropic-compatible APIs, GGUF + safetensors + MLX, FP8/NVFP4/MXFP4/Q8/Q4, built-in Studio
Simple, safe way to store and distribute tensors
β± Broadly scoped ecosystem & mono-repository of 215 TypeScript projects (and ~185 examples) for general purpose, functional, data driven development
C++ tensors with broadcasting and lazy computing
Stop configuring your AI stack. Start using it. One command brings a complete pre-wired LLM stack with hundreds of services to explore.
Multi-dimensional arrays (tensors) and numerical definitions for Elixir
Library for reading and writing large multi-dimensional arrays.
High Performance Computation for N-D Tensors in .NET, identical API to NumPy.
Tensors and neural networks in Haskell
A Julia library for efficient tensor computations and tensor network calculations. ITensors.jl is supported by the Simons Foundation's Flatiron Institute.
A python library for quantum information and many-body calculations including tensor networks.
A tiny neural-network framework in pure Go with AVX2 SIMD kernels (GOEXPERIMENT=simd)
Keep Python on your laptop. Run PyTorch operations and hold tensors on a remote GPU, including from a Mac with no CUDA installation.
RoNet 2026: Build Transformer Models and Byte-Level BPE Tokenizers in Pure Tensors
Chatpin puts your AIβs chat template under inspection and lock. Compare it with the publisherβs original, flag suspicious conditional logic, and pin the version you trust so unexpected changes fail CI before deployment. Built for GGUF and safetensors workflows. Your model has a chat template. Give it a tamper alarm.
A pure C++ inference engine for VLA policies on CPUs, with no GPU, CUDA, or ggml dependency. Built with its own tensors, operators, and SIMD kernels, the engine keeps kernels easy to inspect, tune, and replace.
Native ComfyUI nodes for SenseNova U1.5 image generation and multi-reference image editing.
Local LLMs that run lean, load instantly and keep getting smarter. A from-scratch runtime + model format in Zig: zero-copy mmap, CPU/CUDA/Vulkan engines, OpenAI-compatible server, 2:4 sparsity, Net2Net growth, in-file version history, self-learning loops.
Python library providing GPU-accelerated tensor computation like NumPy, plus a tape-based autograd system for building deep neural networks.