PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy

A simplified implemention of Faster R-CNN that replicate performance from origin paper

Deep Reinforcement Learning with pytorch & visdom

A Guidance on PyTorch Coding Style Based on Kaggle Dogs vs. Cats

PyTorch version of MeshSegNet for tooth segmentation of intraoral scans (point cloud/mesh). The code also includes visdom for training visualization; this project is partially powered by SOVE Inc.

A pytorch implemented classifier for Multiple-Label classification

Neural Turing Machine (NTM) & Differentiable Neural Computer (DNC) with pytorch & visdom

Deep-Learning Model Exploration and Development for NLP

Manage your machine learning experiments with trixi - modular, reproducible, high fashion. An experiment infrastructure optimized for PyTorch, but flexible enough to work for your framework and your tastes.

PyTorch implementation of Value Iteration Networks (VIN): Clean, Simple and Modular. Visualization in Visdom.

A simple tutorial to use Visdom to plot your PyTorch training graphs

a lightweight and simple logger for Machine Learning

A library use jQuery like API for html parsing & node selecting & node mutation, suitable for web scraping and html confusion.

Support powerful visual logging in PyTorch.

A PyTorch implementation of Compositional Coding Capsule Network based on PRL 2022 paper "Compositional Coding Capsule Network with K-Means Routing for Text Classification"

No description available

Toolkit for analyzing small or large samples of Smart Meter data and estimating attributes of customers

Several networks for segmentation like VNet or RefineNet implemented by PyTorch and Visdom

Python script to save and load locally visdom visualisation

My experimentations with Reinforcement Learning in Pytorch

PyTorch version of PointNet for segmentation of tooth models (point cloud). The code also includes visdom for training visualization.

A PyTorch implementation of Parameter-sharing Capsule Network based on the paper "Evaluating Generalization Ability of Convolutional Neural Networks and Capsule Networks for Image Classification via Top-2 Classification"

implement of paper 'Probabilistic End-to-end Noise Correction for Learning with Noisy Labels'

No description available

Deep Learning framework for fast and clean research with Pytorch

Visdom Docker

The pytvision package consists of my datasets, models, and image transformations methods for computer vision projects. This package also containing the synthetic render methods.

Wrapper to use visdom as logger when training ML models

Real time web-based interactive smart meter features data filtering and visualization