Deep Reinforcement Learning with pytorch & visdom
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Updated
Jul 16, 2020 - Python
Deep Reinforcement Learning with pytorch & visdom
A Guidance on PyTorch Coding Style Based on Kaggle Dogs vs. Cats
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.
a lightweight and simple logger for Machine Learning
A PyTorch implementation of Compositional Coding Capsule Network based on PRL 2022 paper "Compositional Coding Capsule Network with K-Means Routing for Text Classification"
Several networks for segmentation like VNet or RefineNet implemented by PyTorch and Visdom
My experimentations with Reinforcement Learning in Pytorch
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"
Deep Learning framework for fast and clean research with Pytorch
Visdom Docker
The Mighty Monitor Trainer for your pytorch models.
Deep reinforcement learning implementations
(In progress) Implementation of distributed prioritized experience replay with Ray and PyTorch
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