wmyw96 Goto Github PK

approximate-nn

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

cc-wgan

Convex-Concave Formulation of Wasserstein GAN

code-for-oi

convex-cnn-tf

convex-cnn-tf-synthetic

cs224d

cs224d Homework and Notes

cyclegail

Code for CycleGAIL

dataset

deep-learning-theory-papers

related papers in the field of deep learning theory

dnn-mode-connectivity

Mode Connectivity and Fast Geometric Ensembles in PyTorch

domain_align

Code for 'Unsupervised Domain Translation with Alignment Guarantees'

eills

The code for our paper ``Environment Invariant Linear Least Squares''

exp_coco

fair-beta

The code to reproduce the results in ``Causality Pursuit from Heterogeneous Environments via Neural Adversarial Invariance Learning''

fast-nn

Scripts for our paper ``Factor Augmented Sparse Throughput Deep Neural Networks for High Dimensional Regression''

fewshot-zoo

Few shot learning model zoo (Tensorflow Implementation)

hearthstone-deck

My Hearthstone Deck

high-dim-autoencoder

high-dimensions-stats-notes

Notes and Solution for the Textbook 'High-dimensional Statistics -- An Non-Asymptotical View'

individualproject_oop

Problem4 SatSolver

introductiontoai

Project homework for course 'Introduction To Artificial Intelligence, Spring 17, Tsinghua University'

linearregression-spring17

RLab homework for course Linear Regression, Spring 17, Tsinghua University

machine-learning-course

Code for machine learning course, Tsinghua University

machine-learning-readings

Reading Materials to Read & Corresponding Notes for Machine Learning.

mean-field-theory-deep-learning

paper lists and information on mean-field theory of deep learning

ml-papers-notes

The reading notes of machine learning papers

motionsdkwrapper

multisource-sr

neural-network