Deep Reinforcement Learning with pytorch & visdom
-
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.
Age Transformation Synthesis is a GAN based method designed to simulate the continuous aging process from a single input image.
Deep reinforcement learning implementations
To associate your repository with the visdom topic, visit your repo's landing page and select "manage topics."