chunyuanli Goto Github PK

alice

NIPS 2017: ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching

alice4alice

ALICE algorithms for painting the cartoon ``Alice's Adventures in Wonderland''

awesome-detection-transformer

Collect some papers about transformer for detection and segmentation. Awesome Detection Transformer for Computer Vision (CV)

chunyuanli.github.io

cvinw

data-efficient-gans

Differentiable Augmentation for Data-Efficient GAN Training

dino

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

discogan

Tensorflow implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"

elevater_toolkit_ic

Toolkit for Elevater Benchmark

emoji-cheat-sheet

A markdown version emoji cheat sheet

hrnet-image-classification

Train the HRNet model on ImageNet

intrinsic-dimension

ICLR 2018: Measuring the Intrinsic Dimension of Objective Landscapes

ispm

Intrinsic Spatial Pyramid Matching (ISPM) on 3D meshed surfaces.

mnist_inception_score

Training a MNIST classifier, and use it to compute inception score (ICP)

msgnht

Stochastic Gradient Thermostats with different numerical integrators

mt-dnn

Multi-Task Deep Neural Networks for Natural Language Understanding

nmt

TensorFlow Neural Machine Translation Tutorial

optimus

Optimus: the first large-scale pre-trained VAE language model

oscar

Oscar: Object-Semantics Aligned Pre-training for Vision-and-Language Tasks

persistence_diagram

Persistence Diagram for Structural Recognition

psgld

AAAI & CVPR 2016: Preconditioned Stochastic Gradient Langevin Dynamics (pSGLD)

pvt

pytorch-pretrained-bert

📖The Big-&-Extending-Repository-of-Transformers: Pretrained PyTorch models for Google's BERT, OpenAI GPT & GPT-2, Google/CMU Transformer-XL.

ras

AISTATS 2019: Reference-based Adversarial Sampling & Its applications to Soft Q-learning

semi_supervised_gan

Semi Supervised using GAN

sg-mcmc

Stochastic Gradient Markov Chain Monte Carlo

spectral_descriptors

A collection of spectral descriptors for 3D meshed surfaces

svgd

Tensorflow implementation of Stein Variational Gradient Descent (SVGD)

toolkits

A diverse set of functions for fast-prototyping or understanding programming concepts