ceyaozhang Goto Github PK

ace

Python package for performing the Alternating Conditional Expectation (ACE) regression

awesome-meta-learning

A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.

bida-m

Bi-level Optimization Data-Adaptive M-estimator

chinese-poetry

最全中华古诗词数据库, 唐宋两朝近一万四千古诗人, 接近5.5万首唐诗加26万宋诗. 两宋时期1564位词人，21050首词。

decision-transformer

Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.

deeperlab-pytorch

Segmentation realize Deeperlab only segmentation part

deeprl

Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone

fast-neural-style-tensorflow

A tensorflow implementation for fast neural style!

fdtd_rl

gluon-tutorials-zh

《动手学深度学习》

gpy

Gaussian processes framework in python

gym

A toolkit for developing and comparing reinforcement learning algorithms.

hello-world

solve an unconstrained problem

how-to-generate-art-demo

keras

Deep Learning for humans

machinelearning

My blogs and code for machine learning. http://cnblogs.com/pinard

maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

mxnet-the-straight-dope

An interactive book on deep learning. Much easy, so MXNet. Wow.

overcooked_ai

A benchmark environment for fully cooperative human-AI performance.

oyster

Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)

pit

prml

PRML algorithms implemented in Python

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

qix

Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang

rlkit

Collection of reinforcement learning algorithms

spinningup

An educational resource to help anyone learn deep reinforcement learning.

the-note-for-time-series-

The contents of my note is based on 'Time Series Analysis with Applications in R(Second Editoin)'

unimask

Codebase for "Uni[MASK]: Unified Inference in Sequential Decision Problems"

url_benchmark

varibad

Implementation of VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning - Zintgraf et al. (ICLR 2020)