Xuechen Li's repositories

private-transformers

make differentially private training of transformers easy

Language:PythonLicense:Apache-2.0Stargazers:51Issues:3Issues:18

ml-swissknife

My ML research codebase

Language:PythonLicense:MITStargazers:5Issues:2Issues:0

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

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

Language:PythonStargazers:2Issues:1Issues:0

accelerate

🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision

License:Apache-2.0Stargazers:0Issues:0Issues:0

apps

APPS: Automated Programming Progress Standard (NeurIPS 2021)

Language:PythonLicense:MITStargazers:0Issues:1Issues:0

attention_with_linear_biases

Code for our ALiBi method for transformer language models.

Language:PythonLicense:MITStargazers:0Issues:1Issues:0

BLIP

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

Language:Jupyter NotebookLicense:BSD-3-ClauseStargazers:0Issues:1Issues:0

captum

Model interpretability and understanding for PyTorch

Language:PythonLicense:BSD-3-ClauseStargazers:0Issues:1Issues:0

CrypTen

A framework for Privacy Preserving Machine Learning

Language:PythonLicense:MITStargazers:0Issues:1Issues:0
Language:LexLicense:MITStargazers:0Issues:1Issues:0

differential-privacy-vs-fairness

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

Language:PythonStargazers:0Issues:0Issues:0

Differentially-Private-Deep-Learning

This repo implements several algorithms for learning with differential privacy.

Language:PythonStargazers:0Issues:0Issues:0

differentialprivacy

Github pages backend for https://differentialprivacy.org

Language:HTMLLicense:MITStargazers:0Issues:0Issues:0

e2e-metrics

E2E NLG Challenge Evaluation metrics

Language:PythonLicense:NOASSERTIONStargazers:0Issues:1Issues:0

failure-directions

Distilling Model Failures as Directions in Latent Space

License:MITStargazers:0Issues:0Issues:0

fast-dpsgd

Code for fast dpsgd implementations in JAX/TF

Language:PythonLicense:MITStargazers:0Issues:1Issues:0

GEM-metrics

Automatic metrics for GEM tasks

Language:PythonLicense:MITStargazers:0Issues:1Issues:0

group_DRO

Distributionally robust neural networks for group shifts

Language:PythonStargazers:0Issues:1Issues:0
Language:PythonLicense:MITStargazers:0Issues:1Issues:0

imagen-pytorch

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

License:MITStargazers:0Issues:0Issues:0

jax_privacy

Algorithms for Privacy-Preserving Machine Learning in JAX

License:Apache-2.0Stargazers:0Issues:0Issues:0

JUMBOT

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

Language:PythonLicense:MITStargazers:0Issues:1Issues:0

latent-diffusion

High-Resolution Image Synthesis with Latent Diffusion Models

License:MITStargazers:0Issues:0Issues:0

LM-BFF

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

Language:PythonLicense:MITStargazers:0Issues:1Issues:0

opacus

Training PyTorch models with differential privacy

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:0Issues:0Issues:0

PrefixTuning

Prefix-Tuning: Optimizing Continuous Prompts for Generation

Language:PythonStargazers:0Issues:0Issues:0

robustness

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

Language:Jupyter NotebookLicense:MITStargazers:0Issues:1Issues:0
Language:TeXStargazers:0Issues:1Issues:0

transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

Language:PythonLicense:Apache-2.0Stargazers:0Issues:1Issues:0

vissl

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

License:MITStargazers:0Issues:0Issues:0