tianbingsz Goto Github PK
Name: Tianbing Xu
Type: User
Bio: Researcher: Large Language Models, Reinforcement Learning, Deep Learning Software Engineer: proficient coding in C++, Java, Python and Go.
Location: California
Name: Tianbing Xu
Type: User
Bio: Researcher: Large Language Models, Reinforcement Learning, Deep Learning Software Engineer: proficient coding in C++, Java, Python and Go.
Location: California
Robust recipes for to align language models with human and AI preferences
A simulation framework for RLHF and alternatives. Develop your RLHF method without collecting human data.
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
c++ coding exercise
[CVPR 2024] Code for the paper "Using Human Feedback to Fine-tune Diffusion Models without Any Reward Model"
Open-sourced code for Evolved Policy Gradients
Simple and efficient pytorch-native transformer text generation in <1000 LOC of python.
A library with extensible implementations of DPO, KTO, PPO, and other human-centered loss functions (HALOs).
Various installation guides for Large Language Models
Implementation of the LLaMA language model based on nanoGPT. Supports flash attention, Int8 and GPTQ 4bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed.
[ICLR 2024] Fine-tuning LLaMA to follow Instructions within 1 Hour and 1.2M Parameters
llama3 implementation one matrix multiplication at a time
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
Sharing LLM basic ideas and code
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Reference implementation of Mistral AI 7B v0.1 model.
Basic Sources for MIT 6.824 Distributed Systems Class
Enable everyone to develop, optimize and deploy AI models natively on everyone's devices.
My machine learning, reinforcement learning and deep learning research and engineering work.
MOSS-RLHF
The simplest, fastest repository for training/finetuning medium-sized GPTs.
Official repository of NEFTune: Noisy Embeddings Improves Instruction Finetuning
Build GPT
The repository for all Azure OpenAI Samples complementing the OpenAI cookbook.
Examples and guides for using the OpenAI API
A Ray-based High-performance RLHF framework (for large models)
PArallel Distributed Deep LEarning
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.