joshnewnham
Interested in designing and building digital solutions that make our lives a little easier and more enjoyable.
London
joshnewnham's Stars
swiftlang/swift
The Swift Programming Language
jax-ml/jax
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
tinygrad/tinygrad
You like pytorch? You like micrograd? You love tinygrad! ❤️
recommenders-team/recommenders
Best Practices on Recommendation Systems
ml-explore/mlx
MLX: An array framework for Apple silicon
huggingface/candle
Minimalist ML framework for Rust
terkelg/awesome-creative-coding
Creative Coding: Generative Art, Data visualization, Interaction Design, Resources.
gfx-rs/wgpu
A cross-platform, safe, pure-Rust graphics API.
facebookresearch/AnimatedDrawings
Code to accompany "A Method for Animating Children's Drawings of the Human Figure"
apple/ml-ferret
apple/corenet
CoreNet: A library for training deep neural networks
tensorflow/swift
Swift for TensorFlow
apple/swift-algorithms
Commonly used sequence and collection algorithms for Swift
microsoft/MMdnn
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.
tensorflow/rust
Rust language bindings for TensorFlow
apple/tensorflow_macos
TensorFlow for macOS 11.0+ accelerated using Apple's ML Compute framework.
huggingface/diffusion-models-class
Materials for the Hugging Face Diffusion Models Course
srush/Tensor-Puzzles
Solve puzzles. Improve your pytorch.
facebookresearch/TensorComprehensions
A domain specific language to express machine learning workloads.
openai/neural-mmo
Code for the paper "Neural MMO: A Massively Multiagent Game Environment for Training and Evaluating Intelligent Agents"
NVIDIA/partialconv
A New Padding Scheme: Partial Convolution based Padding
IndieVisualLab/UnityGraphicsProgrammingSeries
書籍「Unity Graphics Programming」シリーズのPDFコレクション
mit-han-lab/tinyengine
[NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning; [NeurIPS 2022] MCUNetV3: On-Device Training Under 256KB Memory
mit-han-lab/TinyChatEngine
TinyChatEngine: On-Device LLM Inference Library
praeclarum/webgpu-torch
Tensor computation with WebGPU acceleration
MarkMoHR/Awesome-Sketch-Based-Applications
:books: A collection of sketch based application papers.
bearpaw/clothing-co-parsing
CCP dataset from "Clothing Co-Parsing by Joint Image Segmentation and Labeling " (CVPR 2014)
eliemichel/LearnWebGPU
Learn to use WebGPU for native graphic applications in C++
rajveermalviya/go-webgpu
Go bindings for WebGPU, a safe & cross-platform GPU abstraction
henrybetts/swift-webgpu
Swift bindings for WebGPU