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编程电子书下载,电子书下载,包括C,C#,Docker,Elasticsearch,Git,Hadoop,HeadFirst,Java,Javascript,jvm,Kafka,Linux,Maven,MongoDB,MyBatis,MySQL,Netty,Nginx,Python,RabbitMQ,Redis,Scala,Solr,Spark,Spring,SpringBoot,SpringCloud,TCPIP,Tomcat,Zookeeper,人工智能,大数据类,并发编程,数据库类,数据挖掘,新面试题,架构设计,算法系列,计算机类,设计模式,软件测试,重构优化,等更多分类

prophet icon prophet

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

pseudo-3d-pytorch icon pseudo-3d-pytorch

pytorch version of pseudo-3d-residual-networks(P-3D), pretrained model is supported

pycma icon pycma

Python implementation of CMA-ES

pymetis icon pymetis

A Python wrapper around Metis, a graph partitioning package

pyod icon pyod

A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)

pysc2 icon pysc2

StarCraft II Learning Environment

pysc2-agents icon pysc2-agents

This is a simple implementation of DeepMind's PySC2 RL agents.

pytorch-a3c icon pytorch-a3c

PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".

pytorch-pruning icon pytorch-pruning

PyTorch Implementation of [1611.06440] Pruning Convolutional Neural Networks for Resource Efficient Inference

pytorch-trpo icon pytorch-trpo

PyTorch implementation of Trust Region Policy Optimization

qpth icon qpth

A fast and differentiable QP solver for PyTorch.

rainbow icon rainbow

Rainbow: Combining Improvements in Deep Reinforcement Learning

recbole icon recbole

A unified, comprehensive and efficient recommendation library

rlkit icon rlkit

Collection of reinforcement learning algorithms

rspapers icon rspapers

A Curated List of Must-read Papers on Recommender System.

sdne icon sdne

This is a implementation of SDNE (Structural Deep Network embedding)

softlearning icon softlearning

Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.

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