The fastai book, published as Jupyter Notebooks

😎 Awesome lists about all kinds of interesting topics

Tracks changes of the lua prototype definitions in factorio inbetween releases.

Share your screen with one simple room code. No downloads or sign-ups required.

[ICLR 2025] From anything to mesh like human artists. Official impl. of "MeshAnything: Artist-Created Mesh Generation with Autoregressive Transformers"

Public documents for the Master of Data Science program at the University of British Columbia

A collective list of free APIs

A simple software rasterizer running on a WebGPU compute shader. Built for educational purposes.

Go ahead and axolotl questions

Train fastai models faster (and other useful tools)

🤖 A PyTorch library of curated Transformer models and their composable components

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

A GPT-4 AI Tutor Prompt for customizable personalized learning experiences.

🚀 Blazing fast neuro-evolution & backpropagation for the browser and Node.js

architecture-free neural network library for node.js and the browser

💻 Build terminal styled websites in minutes!

The repository for high quality TypeScript type definitions.

A car soccer environment inspired by Rocket League for deep reinforcement learning experiments in an adversarial self-play setting.

Minimal PyTorch implementation of YOLOv3

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

📈 Adaptive: parallel active learning of mathematical functions

Distributed Evolutionary Algorithms in Python

The configuration framework for Zsh

Res2Net architecture with improved stem and Mish activation function

JupyterLab computational environment.

Official Repository for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]

Windows system utilities to maximize productivity

A pytorch port of google-research/google-research/robust_loss/

A Python implementation of global optimization with gaussian processes.

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…