Name: Changkun Ye
Type: User
Company: Australian National Unviersity
Bio: Research currently on Long-Tailed classification, previously on Deep Reinforcement Learning and Zero-Shot Learning.
Location: Canberra, Australia
Changkun Ye's Projects
Tensorflow implementation of generative adversarial imitation learning
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
Source code for our NIPS 2017 paper, InfoGAIL: Interpretable Imitation Learning from Visual Demonstrations
This is the official implementation for WACV 2024 paper "Label Shift Estimation for Class-Imbalance Problem: A Bayesian Approach".
Benchmarking Generalized Out-of-Distribution Detection
图解tensorflow 源码
Collection of generative models in Tensorflow
Trust Region Policy Optimization with TensorFlow and OpenAI Gym
A playbook for systematically maximizing the performance of deep learning models.