Add object detection, tracking, mobile notifications, and search to any security camera.
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Nov 6, 2026 - Python
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Add object detection, tracking, mobile notifications, and search to any security camera.
CUDA on an Apple Silicon Mac over Thunderbolt with no NVIDIA driver: a C userspace NVIDIA driver (libtinynv) plus cudart/cublas shims running unmodified llama.cpp and stable-diffusion.cpp on an RTX 5090 eGPU
tinygrad port of the RWKV large language model.
A WebGPU port of Stable Diffusion using tinygrad
Machine learning compiler in Go. A from-scratch tinygrad port: graph-rewrite IR, autodiff as a compiler pass, zero-CGO WebGPU backend.
golang machine-learning deep-learning compiler gpu wasm autograd neural-networks tensor webgpu autodiff onnx tinygrad
A hackable library for running and fine-tuning modern transformer models on commodity and alternative GPUs, powered by tinygrad.
A Python-based chatbot project built on the autogen and tinygrad foundation, utilizing advanced agents for dynamic conversations and function orchestration, enhancing and expanding traditional chatbot capabilities.
ai chatbot llama gpt agent-based chat-application agent-based-framework autogen gpt-2 gpt2 gpt-3 tinygrad gpt4 llm gpt3-turbo
yet another scalar autograd engine - featuring complex numbers and fixed DAG
machine-learning neural-network autograd complex-numbers gradient gradient-descent backpropagation multilayer-perceptron micrograd tinygrad
A C++ implementation of the scalar-valued autograd engine micrograd
Interactive visualizations and demos that are used in a blog post I wrote about logic in the context of neural networks
threejs canvas neural-network tensorflow webassembly svelte echarts tf sveltejs activation-functions tfjs sveltekit tinygrad uplot
Uses the excellent silero VAD with onnxruntime C api for fast detection of audio segments with speech
A minimalist implementation of the ViT (Vision Transformer) model, using tinygrad
tinygrad port of U^2 Net model
python pytorch neural-networks segmentation photo-editing background-removal tinygrad sky-segmentation
Complete setup guide for a 2-node NVIDIA DGX Spark cluster — distributed training, CUDA inference with EXO, NCCL tuning for Grace Blackwell, NVMe-TCP shared storage, and 200 Gb/s direct fabric networking.
machine-learning deep-learning cuda inference self-hosted pytorch nvidia rdma roce lora exo distributed-training nccl fine-tuning gpu-cluster tinygrad nvme-tcp llm dgx-spark grace-blackwell
Low-level deep learning concepts from scratch
c machine-learning deep-learning neural-network autograd tensor low-level low-level-programming tinygrad pagedout
Unofficial George Hotz–inspired radical-simplicity coding guidelines for AI agents — Claude Code skill/plugin + Cursor rule. Complexity is the enemy.
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