I like big neural networks and good datasets.
lxuechen Goto Github PK
Name: Xuechen Li
Type: User
Company: Stanford University
Bio: building intelligence
Twitter: lxuechen
Blog: www.lxuechen.com
Name: Xuechen Li
Type: User
Company: Stanford University
Bio: building intelligence
Twitter: lxuechen
Blog: www.lxuechen.com
I like big neural networks and good datasets.
The website designer for Hugo. Build and deploy a beautiful website in minutes :rocket:
Data and Code for Reproducing "Global Relational Models of Source Code"
Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch
Image Markov Chain Monte Carlo
Code for "Inference Suboptimality in Variational Autoencoders"
Algorithms for Privacy-Preserving Machine Learning in JAX
Official Python3 implementation of our ICML 2021 paper "Unbalanced minibatch Optimal Transport; applications to Domain Adaptation"
Pytorch implementation of KFAC and E-KFAC (Natural Gradient).
High-Resolution Image Synthesis with Latent Diffusion Models
Code for "Latent ODEs for Irregularly-Sampled Time Series" paper
Learning to Execute
Legibile, Scalable, Reproducible Foundation Models with Named Tensors and Jax
What would you do with 1000 H100s...
ACL'2021: LM-BFF: Better Few-shot Fine-tuning of Language Models
Ongoing research training transformer models at scale
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
A minimal PyTorch re-implementation of RLHF
An ML research codebase built with friends :)
Training PyTorch models with differential privacy
An open-source framework for training large multimodal models.
Contains the code for our ICSE 2020 paper: Big Code != Big Vocabulary: Open-Vocabulary Language Models for Source Code and for its earlier pre-print: Maybe Deep Neural Networks are the Best Choice for Modeling Source Code (https://arxiv.org/abs/1903.05734). This is the first open vocabulary language model for code that uses the byte pair encoding algorithm (BPE) to learn a segmentation of code tokens into subword units.
A novel method to tune language models. Codes and datasets for paper ``GPT understands, too''.
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
The password hash Argon2, winner of PHC
Prefix-Tuning: Optimizing Continuous Prompts for Generation
Library for training machine learning models with privacy for training data
A codebase that makes differentially private training of transformers easy.
:snake: Complete C99 parser in pure Python
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.