lxuechen

torchsde

Differentiable SDE solvers with GPU support and efficient sensitivity analysis.

BDMC

PyTorch implementation of Bidirectional Monte Carlo, Annealed Importance Sampling, and Hamiltonian Monte Carlo.

Differentially-Private-Fine-tuning-of-Language-Models

Code for ICLR 2022 submission "Differentially Private Fine-tuning of Language Models".

FastChat

An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.

inference-suboptimality

Code for "Inference Suboptimality in Variational Autoencoders"

ml-swissknife

An ML research codebase built with friends :)

private-transformers

A codebase that makes differentially private training of transformers easy.

alpaca_eval

An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.

alpaca_farm

A simulation framework for RLHF and alternatives. Develop your RLHF method without collecting human data.

stanford_alpaca

Code and documentation to train Stanford's Alpaca models, and generate the data.

lxuechen/private-transformers

A codebase that makes differentially private training of transformers easy.

lxuechen/Differentially-Private-Fine-tuning-of-Language-Models

Code for ICLR 2022 submission "Differentially Private Fine-tuning of Language Models".

lxuechen/jax_privacy

Algorithms for Privacy-Preserving Machine Learning in JAX

lxuechen/apps

APPS: Automated Programming Progress Standard (NeurIPS 2021)

lxuechen/attention_with_linear_biases

Code for our ALiBi method for transformer language models.

lxuechen/automatic_prompt_engineer

lxuechen/BLIP

PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation

lxuechen/captum

Model interpretability and understanding for PyTorch

lxuechen/ConstitutionalHarmlessnessPaper

lxuechen/CrypTen

A framework for Privacy Preserving Machine Learning

lxuechen/differential-privacy-vs-fairness

Code for "Differential Privacy Has Disparate Impact on Model Accuracy" NeurIPS'19

lxuechen/Differentially-Private-Deep-Learning

This repo implements several algorithms for learning with differential privacy.

lxuechen/differentialprivacy

Github pages backend for https://differentialprivacy.org

lxuechen/failure-directions

Distilling Model Failures as Directions in Latent Space

lxuechen/GEM-metrics

Automatic metrics for GEM tasks

lxuechen/group_DRO

Distributionally robust neural networks for group shifts

lxuechen/Handcrafted-DP

lxuechen/imagen-pytorch

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

lxuechen/JUMBOT

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

lxuechen/latent-diffusion

High-Resolution Image Synthesis with Latent Diffusion Models

lxuechen/LM-BFF

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

lxuechen/opacus

Training PyTorch models with differential privacy

lxuechen/phc-winner-argon2

The password hash Argon2, winner of PHC

lxuechen/PrefixTuning

Prefix-Tuning: Optimizing Continuous Prompts for Generation

lxuechen/pubmedgpt

lxuechen/robustness

A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.

lxuechen/stable-diffusion

lxuechen/Stanford-LaTeX-Poster-Template

lxuechen/triton

Development repository for the Triton language and compiler

lxuechen/vissl

VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.