chingyaoc Goto Github PK

homework3-1

icra2017-visual-navigation

Target-driven Visual Navigation in Indoor Scenes using Deep Reinforcement Learning

implicit-hyper-opt

infoot

[ICML2023] InfoOT: Information Maximizing Optimal Transport

kv-margin

NeurIPS 2021, Code for Measuring Generalization with Optimal Transport

large_margin_loss_pytorch

A PyTorch Implementation of a Large Margin Deep Networks for Classification

margin-bounds

mdm

Code for "The Role of Embedding Complexity in Domain-invariant Representations"

mil-nce_howto100m

PyTorch GPU distributed training code for MIL-NCE HowTo100M

mit-eecs-sm-thesis-proposal-template

MIT EECS S.M. Thesis Proposal Template

neural-art-tf

"A neural algorithm of Artistic style" in tensorflow

noreward-rl

[ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning

openpilot

open source driving agent

pgdl

Winning Solution of the NeurIPS 2020 Competition on Predicting Generalization in Deep Learning

photo-editing-tensorflow

Photo Optimizing Adversarial Net with Policy Gradient Method

pytorch-dqn

Deep Q-Learning Network in pytorch

pytorch-reinforce

PyTorch Implementation of REINFORCE for both discrete & continuous control

quick-thought-in-pytorch

A Quick Thought implemented by pytorch.

rince

CVPR 2022, Robust Contrastive Learning against Noisy Views

s2v

ICLR 2018 Quick-Thought vectors

sam

Code for the Structural Agnostic Model (https://arxiv.org/abs/1803.04929)

san-torch

Torch implementation for Stacked Attention Networks

scot

Gromov-Wasserstein based optimal transport for aligning single-cell multi-omics data

sensitive-subspace-robustness

seqgan

Implementation of Sequence Generative Adversarial Nets with Policy Gradient

simclr-pytorch

PyTorch implementation of SimCLR: supports multi-GPU training and closely reproduces results

skip-thoughts

Sent2Vec encoder and training code from the paper "Skip-Thought Vectors"

template-tf

tensorboard2seaborn

Plot Tensorflow Summary Event in a Beautiful Way 🌈

tensorflow-book

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.