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/BDMC

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

lxuechen/inference-suboptimality

Code for "Inference Suboptimality in Variational Autoencoders"

lxuechen/latent_ode

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

lxuechen/BREEDS-Benchmarks

lxuechen/CodeBERT

CodeBERT

lxuechen/compound-pcfg

lxuechen/dart

lxuechen/e2e-metrics

E2E NLG Challenge Evaluation metrics

lxuechen/fast-dpsgd

Code for fast dpsgd implementations in JAX/TF

lxuechen/Gradient-Embedding-Perturbation

lxuechen/hugo-academic

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

lxuechen/ICLR20-Great

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

lxuechen/imcmc

Image Markov Chain Monte Carlo

lxuechen/KFAC-Pytorch

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

lxuechen/learning_to_execute

Learning to Execute

lxuechen/minGPT

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

lxuechen/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.

lxuechen/P-tuning

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

lxuechen/privacy

Library for training machine learning models with privacy for training data

lxuechen/pycparser

:snake: Complete C99 parser in pure Python

lxuechen/pytorch-struct

Fast, general, and tested differentiable structured prediction in PyTorch

lxuechen/SketchGraphs

A dataset of 15 million CAD sketches with geometric constraint graphs.

lxuechen/Synaptic-Flow

lxuechen/torchdiffeq

Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

lxuechen/transfer-learning-conv-ai

🦄 State-of-the-Art Conversational AI with Transfer Learning

lxuechen/transformer-xl