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Name: Michael Poli
Type: User
Company: Stanford University
Bio: Numerics, model architecture, scaling @ Liquid AI
Twitter: MichaelPoli6
Name: Michael Poli
Type: User
Company: Stanford University
Bio: Numerics, model architecture, scaling @ Liquid AI
Twitter: MichaelPoli6
🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision
A collection of the greatest hits from the field of algorithm design
Open source code for AlphaFold.
A PyTorch implementation of the Transformer model in "Attention is All You Need".
AutoAWQ implements the AWQ algorithm for 4-bit quantization with a 2x speedup during inference.
A collection of resources regarding the interplay between control, causality, latent structure and self-supervision.
A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.
Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"
Official Matplotlib cheat sheets
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Research language for array processing in the Haskell/ML family
The fastai deep learning library, plus lessons and and tutorials
Fast and memory-efficient exact attention
Flax is a neural network ecosystem for JAX that is designed for flexibility.
Neural Graph Differential Equations (Neural GDEs)
Download a large file from Google Drive (curl/wget fails because of the security notice).
Holistic Evaluation of Language Models (HELM), a framework to increase the transparency of language models (https://arxiv.org/abs/2211.09110).
Reinforcement Learning - kbandits
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Machine learning metrics for distributed, scalable PyTorch applications.
Create delightful python projects using Jupyter Notebooks
A Multidimensional Array library for Swift
An implementation of the algorithm proposed in 'A PAC-Bayesian Analysis of Randomized Learning with Application to Stochastic Gradient Descent', Ben London 2018
Port-Hamiltonian Approach to Neural Network Training
Beta code release for Python Multi-Agent Reinforcement Learning framework
A Dataset of Python Challenges for AI Research
Tensors and Dynamic neural networks in Python with strong GPU acceleration
The lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate
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.