lxuechen

BDMC

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

inference-suboptimality

Code for "Inference Suboptimality in Variational Autoencoders"

latent_ode

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

BREEDS-Benchmarks

CodeBERT

CodeBERT

compound-pcfg

dart

e2e-metrics

E2E NLG Challenge Evaluation metrics

fast-dpsgd

Code for fast dpsgd implementations in JAX/TF

Gradient-Embedding-Perturbation

hugo-academic

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

ICLR20-Great

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

imcmc

Image Markov Chain Monte Carlo

KFAC-Pytorch

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

learning_to_execute

Learning to Execute

minGPT

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

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

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

privacy

Library for training machine learning models with privacy for training data

pycparser

:snake: Complete C99 parser in pure Python

pytorch-struct

Fast, general, and tested differentiable structured prediction in PyTorch

SketchGraphs

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

Synaptic-Flow

torchdiffeq

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

transfer-learning-conv-ai

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

transformer-xl