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Machine Learning Engineering Open Book
Locate a nearby Bluetooth device by signal strength, from the macOS command line — for when Find My isn't available
An annotated implementation of the Transformer paper.
The book every data scientist needs on their desk.
claude code hooks - adding voice on each hook
Ongoing research training transformer models at scale
A PyTorch native platform for training generative AI models
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
Making large AI models cheaper, faster and more accessible
LLM training code for Databricks foundation models
A simple, performant, and scalable Jax LLM!
🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support
Train transformer language models with reinforcement learning.
Orbax provides common checkpointing and persistence utilities for JAX users
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
Hundreds of models & providers. One command to find what runs on your hardware.
🔥 LeetCode for PyTorch — practice implementing softmax, attention, GPT-2 and more from scratch with instant auto-grading. Jupyter-based, self-hosted or try online.
Docker configuration for running VLLM on dual DGX Sparks
Agent skill that removes signs of AI-generated writing from text
Fast and Accurate ML in 3 Lines of Code
An Open Source implementation of Notebook LM with more flexibility and features
Awesome Deep Learning papers for industrial Search, Recommendation and Advertisement. They focus on Embedding, Matching, Pre-Ranking, Ranking, Post Ranking, Relevance, LLM and RL. Please cite our p…