[IJAIT 2021] MABWiser: Contextual Multi-Armed Bandits Library

Seamless operability between C++11 and Python

Serve machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

Large Reasoning Models

Time series forecasting with PyTorch

Get up and running with Kimi-K2.5, GLM-5, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

A latent text-to-image diffusion model

Work in progress transmit from Google Code

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

Run ONNX models in Ruby

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

Free & Open source platform for COVID19 data. Dashboard - REST API - Browser Extension - Localised 🦠 😷

An implementation of soft-DTW divergences.

Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

The comma.ai Calibration Challenge!

A simple Minecraft clone written in C using modern OpenGL (shaders).

The FASTEST QUALITY hash function, random number generators (PRNG) and hash map.

Latex code for making neural networks diagrams

HugeCTR is a high efficiency GPU framework designed for Click-Through-Rate (CTR) estimating training

PortAudio bindings and wrappers for Rust.

Audio Synchronization and Analysis Tool

A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

You like pytorch? You like micrograd? You love tinygrad! ❤️