Ching-Yao Chuang

ggnn.pytorch. A PyTorch Implementation of Gated Graph Sequence Neural Networks (GGNN)

awesome-vqa. Visual Q&A reading list

DCL. NeurIPS 2020, Debiased Contrastive Learning

pytorch-REINFORCE. PyTorch Implementation of REINFORCE for both discrete & continuous control

VQA-tensorflow. Tensorflow Implementation of Deeper LSTM+ normalized CNN for Visual Question Answering

RINCE. CVPR 2022, Robust Contrastive Learning against Noisy Views

VQG-tensorflow. Visual Question Generation in Tensorflow

Tensorboard2Seaborn. Plot Tensorflow Summary Event in a Beautiful Way 🌈

debias_vl. Code for Debiasing Vision-Language Models via Biased Prompts

fair-mixup. ICLR 2021, Fair Mixup: Fairness via Interpolation

photo-editing-tensorflow. Photo Optimizing Adversarial Net with Policy Gradient Method

InfoOT. [ICML2023] InfoOT: Information Maximizing Optimal Transport

TMD. NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks

kV-Margin. NeurIPS 2021, Code for Measuring Generalization with Optimal Transport

estimating-generalization. ICML 2020, Estimating Generalization under Distribution Shifts via Domain-Invariant Representations

san-torch. Torch implementation for Stacked Attention Networks

VisionWorks. Basic Computer Vision Problem & Work

cbp. Multimodal Compact Bilinear Pooling for Torch7

FTP-Proxy-Rate-Control. Simple FTP-proxy with rate control.

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

beta-tcvae. code for "Isolating Sources of Disentanglement in Variational Autoencoders".

AVID-CMA. Audio Visual Instance Discrimination with Cross-Modal Agreement

CMC. pytorch implementation of "Contrastive Multiview Coding", "Momentum Contrast for Unsupervised Visual Representation Learning", and "Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination"

caffe. Caffe: a fast open framework for deep learning.

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

baselines. OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

universe-starter-agent. A starter agent that can solve a number of universe environments.

casmls.github.io. Columbia Advanced Machine Learning Seminar

CoGAN-tensorflow. Implement Coupled Generative Adversarial Networks, NIPS2016

FreeWifi. How to get free wifi.

baselines-results. Jupyter Notebook

icra2017-visual-navigation. Target-driven Visual Navigation in Indoor Scenes using Deep Reinforcement Learning