Generating sets of formulaic alpha (predictive) stock factors via reinforcement learning.

Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are commi…

Cross-Platform, modern and powerful stream downloader for MPD/M3U8/ISM. English/简体中文/繁體中文.

Blochchain Hackathon 2021

Python scripts to manage Chia plots and drive space, providing full reports. Also monitors the number of chia coins you have. Auto Drive helps to automate the addition of new hard drives to your sy…

Automatic architecture search and hyperparameter optimization for PyTorch

An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.

📊 Save matplotlib figures as TikZ/PGFplots for smooth integration into LaTeX.

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库

Demonstrate all the questions on LeetCode in the form of animation.（用动画的形式呈现解LeetCode题目的思路）

Project to generate Python wheels for ARM systems (targeting armv7 / aarch64 in the future)

The cross-platform script that converts notes from Synology Note Station to markdown files

这里是改进了pytorch的DataParallel, 用来平衡第一个GPU的显存使用量

Fine-tune pretrained Convolutional Neural Networks with PyTorch

A scikit-learn compatible neural network library that wraps PyTorch

High-level batteries-included neural network training library for Pytorch

UNOFFICIAL Netease Music extension for Visual Studio Code

A simplified framework and utilities for PyTorch

Graph Neural Networks with Keras and Tensorflow 2.

👏 A Chrome extension for Avgle and other interesting video sites. Downloader inside

High-Level Training, Data Augmentation, and Utilities for Pytorch

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

Deep Learning for Land-cover Classification in Hyperspectral Images.

Band-Adaptive Spectral-Spatial Feature Learning Deep Neural Network for Hyperspectral Image Classification

This is a tensorflow and keras based implementation of SSRNs in the IEEE T-GRS paper "Spectral-Spatial Residual Network for Hyperspectral Image Classification: A 3-D Deep Learning Framework".

PyTorch implementation of the Mask-X-RCNN network proposed in the 'Learning to Segment Everything' paper by Facebook AI Research

U-Net implementation for PyTorch based on https://arxiv.org/abs/1505.04597

CRF-RNN Keras/Tensorflow version

Semantic Segmentation for Aerial / Satellite Images with Convolutional Neural Networks including an unofficial implementation of Volodymyr Mnih's methods