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pytext icon pytext

A natural language modeling framework based on PyTorch

python-compare-images icon python-compare-images

This repository is mainly about comparing two images. The technique used is SSIM. i.e. Structural Similarity Index Measure We use some of the inbuilt functions available in python's skimage library to measure the SSIM value. Along with SSIM we also measure the MSE ( Mean Square Error ) To know more about the SSIM technique Refer Here: https://en.wikipedia.org/wiki/Structural_similarity

python_avltree icon python_avltree

这是一个avl 树。使用python实现。仅仅用来讲解算法,不能用于生产环境。

pytoflow icon pytoflow

The py version of toflow → https://github.com/anchen1011/toflow

pytorch icon pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-a2c-1 icon pytorch-a2c-1

General implementation of Advantage Actor Critic using Pytorch

pytorch-a2c-ppo icon pytorch-a2c-ppo

A recurrent, multi-process and readable PyTorch implementation of the deep reinforcement algorithms A2C and PPO

pytorch-a2c-ppo-acktr icon pytorch-a2c-ppo-acktr

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO) and Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR).

pytorch-a3c icon pytorch-a3c

Simple A3C implementation with pytorch + multiprocessing

pytorch-a3c-1 icon pytorch-a3c-1

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

pytorch-actorcriticrl icon pytorch-actorcriticrl

PyTorch implementation of DDPG algorithm for continuous action reinforcement learning problem.

pytorch-book icon pytorch-book

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation

pytorch-chexnet icon pytorch-chexnet

CheXNet implementation for Classification and Localization of Thoracic Diseases with Django server

pytorch-ddpg icon pytorch-ddpg

Implementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch

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