Explorations and implementations of Deep Reinforcement Learning techniques from the Hugging Face course, featuring DQN and PPO applied to classic and VizDoom environments.
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Updated
May 10, 2024 - Python
Explorations and implementations of Deep Reinforcement Learning techniques from the Hugging Face course, featuring DQN and PPO applied to classic and VizDoom environments.
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》)
The Mighty Monitor Trainer for your pytorch models.
Deep-Learning Model Exploration and Development for NLP
The pytvision package consists of my datasets, models, and image transformations methods for computer vision projects. This package also containing the synthetic render methods.
Pytorch model for classification
A utility for pytorch and visdom expirement metering and logging built on top of TNT.
Extension modules for 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"
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"
A simplified implemention of Faster R-CNN that replicate performance from origin paper
Visdom Docker
Age Transformation Synthesis is a GAN based method designed to simulate the continuous aging process from a single input image.
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
Deep Learning framework for fast and clean research with Pytorch
Deep Reinforcement Learning with pytorch & visdom
A Guidance on PyTorch Coding Style Based on Kaggle Dogs vs. Cats
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