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I like big neural networks and good datasets.

Xuechen Li's Projects

hugo-academic icon hugo-academic

The website designer for Hugo. Build and deploy a beautiful website in minutes :rocket:

iclr20-great icon iclr20-great

Data and Code for Reproducing "Global Relational Models of Source Code"

imagen-pytorch icon imagen-pytorch

Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch

imcmc icon imcmc

Image Markov Chain Monte Carlo

jax_privacy icon jax_privacy

Algorithms for Privacy-Preserving Machine Learning in JAX

jumbot icon jumbot

Official Python3 implementation of our ICML 2021 paper "Unbalanced minibatch Optimal Transport; applications to Domain Adaptation"

kfac-pytorch icon kfac-pytorch

Pytorch implementation of KFAC and E-KFAC (Natural Gradient).

latent_ode icon latent_ode

Code for "Latent ODEs for Irregularly-Sampled Time Series" paper

levanter icon levanter

Legibile, Scalable, Reproducible Foundation Models with Named Tensors and Jax

lm-bff icon lm-bff

ACL'2021: LM-BFF: Better Few-shot Fine-tuning of Language Models

megatron-lm icon megatron-lm

Ongoing research training transformer models at scale

mingpt icon mingpt

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

minrlhf icon minrlhf

A minimal PyTorch re-implementation of RLHF

opacus icon opacus

Training PyTorch models with differential privacy

open_flamingo icon open_flamingo

An open-source framework for training large multimodal models.

openvocabcodenlm icon openvocabcodenlm

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.

p-tuning icon p-tuning

A novel method to tune language models. Codes and datasets for paper ``GPT understands, too''.

peft icon peft

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

prefixtuning icon prefixtuning

Prefix-Tuning: Optimizing Continuous Prompts for Generation

privacy icon privacy

Library for training machine learning models with privacy for training data

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