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Name: Will Thompson
Type: User
Name: Will Thompson
Type: User
Robust recipes to align language models with human and AI preferences
Go ahead and axolotl questions
This repository implements the chain of verification paper by Meta AI
Print-friendly, minimalist CV page
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
A small, interpretable codebase containing the re-implementation of a few "deep" NLP models in PyTorch. Colab notebooks to run with GPUs. Models: word2vec, CNNs, transformer, gpt.
🧬 Understanding the code of life: Generative modeling of regulatory DNA sequences with diffusion probabilistic models 💨
learning jax
Fast and memory-efficient exact attention
Generative Agents: Interactive Simulacra of Human Behavior
Specify what you want it to build, the AI asks for clarification, and then builds it.
jax-triton contains integrations between JAX and OpenAI Triton
⚡ Building applications with LLMs through composability ⚡
Build resilient language agents as graphs.
Hackable implementation of state-of-the-art open-source LLMs based on nanoGPT. Supports flash attention, 4-bit and 8-bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed.
Just a bunch of benchmark logs for different LLMs
Manage scalable open LLM inference endpoints in Slurm clusters
Steer LLM outputs towards a certain topic/subject and enhance response capabilities using activation engineering by adding steering vectors
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
Mesh TensorFlow: Model Parallelism Made Easier
Model parallel transformers in JAX and Haiku
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
visualize financial microstructure 📈 & debug trading bots 🤖
Reference implementation of Mistral AI 7B v0.1 model.
A simple example illustrating how to fine-tune Mistal7b via (q)LoRA
A Python package for easy multiprocessing, but faster than multiprocessing
nanoGPT style version of Llama 3.1
NeurIPS Large Language Model Efficiency Challenge: 1 LLM + 1GPU + 1Day
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.