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Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
A game theoretic approach to explain the output of any machine learning model.
Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable…
Instruct-tune LLaMA on consumer hardware
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
FinRL®: Financial Reinforcement Learning. 🔥
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
QLoRA: Efficient Finetuning of Quantized LLMs
Segment Anything in Medical Images
A library of data loaders for LLMs made by the community -- to be used with LlamaIndex and/or LangChain
Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL
NMA Computational Neuroscience course
The hub for EleutherAI's work on interpretability and learning dynamics
A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as instance segmentation masks, depth maps, and optical flow.
New ways of breaking app-integrated LLMs
Adapted from https://note.com/kohya_ss/n/nbf7ce8d80f29 for easier cloning
Text To Video Synthesis Colab
Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018
Autonomously train research-agent LLMs on custom data using reinforcement learning and self-verification.
This is the code for "How to Make a Text Summarizer - Intro to Deep Learning #10" by Siraj Raval on Youtube
This is the official repository for the LENS (Large Language Models Enhanced to See) system.
Tutorial for surrogate gradient learning in spiking neural networks
Colab notebook for Stable Diffusion Hyper-SDXL.
Implementation of "Generative Agents: Interactive Simulacra of Human Behavior" paper with Guidance and Langchain. Full features and work with local LLMs.