michaelnny

Michael Hu's repositories

deep_rl_zoo

A collection of Deep Reinforcement Learning algorithms implemented with PyTorch to solve Atari games and classic control tasks like CartPole, LunarLander, and MountainCar.

Language:PythonApache-2.093 4 19

alpha_zero

A PyTorch implementation of DeepMind's AlphaZero agent to play Go and Gomoku board games

Language:PythonMIT44 3 5

Implements pre-training, supervised fine-tuning (SFT), and reinforcement learning from human feedback (RLHF), to train and fine-tune the LLaMA2 model to follow human instructions, similar to InstructGPT or ChatGPT, but on a much smaller scale.

Language:Jupyter NotebookMIT3308

muzero

A PyTorch implementation of DeepMind's MuZero agent

Language:PythonApache-2.023 1 1

SAP-UI5-Development-Re-Introduction

This is the official source code for Udemy course SAP UI5 Development Re-Introduction

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miniGPT

Try to implement pre-training and fine-tuning GPT-2 model for research and education purpose.

Language:Jupyter NotebookMIT803

MM-LLaMA

Bring multimodality to the LLaMA model by leveraging ImageBind as the modal encoder. This project supports vision input (both images and short videos) to the LLaMA model, with text output generated by LLaMA.

Language:PythonMIT3 10

DPO-LLaMA

A clean implementation of direct preference optimization (DPO) to train the LLaMA 2 model to align with human preferences.

Language:PythonMIT2 10

QLoRA-LLM

A simple custom QLoRA implementation for fine-tuning a language model (LLM) with basic tools such as PyTorch and Bitsandbytes, completely decoupled from Hugging Face.

Language:PythonMIT200

RAG-LLaMA

A clean and simple implementation of Retrieval Augmented Generation (RAG) to enhanced LLaMA chat model to answer questions from a private knowledge base. We use Tesla user manuals to build the knowledge base, and use open-source embedding and Cross-Encoders reranking models from Sentence Transformers in this project.

Language:Jupyter NotebookMIT200

art-of-reinforcement-learning

Original source code The Art of Reinforcement Learning by Michael Hu

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ReservoirComputing

Implementing Reservoir Computing Networks for Predicting Dynamic Systems

Language:Jupyter NotebookMIT000

TensorRT-LLM

TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ runtimes that execute those TensorRT engines.

Language:C++Apache-2.0000

tensorrtllm_backend

The Triton TensorRT-LLM Backend

Language:PythonApache-2.0000