LiangyuLiu's starred repositories
C-CrashCourse
C语言教程+博客+代码演示+课程设计。 帮助初学者更好的理解 C 难点，提升代码量！ For beginners:C tuition/self-learning
C-CppLearning
C语言与C++学习
T2-Debian-and-Ubuntu-Kernel
Ubuntu Kernel for T2 Macs.
deeplearningbook-chinese
Deep Learning Book Chinese Translation
Advances-in-Label-Noise-Learning
A curated (most recent) list of resources for Learning with Noisy Labels
Awesome-Learning-with-Label-Noise
A curated list of resources for Learning with Noisy Labels
darwin-xnu
Legacy mirror of Darwin Kernel. Replaced by https://github.com/apple-oss-distributions/xnu
PureDarwin
Darwin is the Open Source core of macOS, and PureDarwin is a community project to extend Darwin into a complete, usable operating system.
awesome_lightweight_networks
The implementation of various lightweight networks by using PyTorch. such as：MobileNetV2，MobileNeXt，GhostNet，ParNet，MobileViT、AdderNet，ShuffleNetV1-V2，LCNet，ConvNeXt，etc. ⭐⭐⭐⭐⭐
CBAM.PyTorch
Non-official implement of Paper：CBAM: Convolutional Block Attention Module
statistical-learning-method-solutions-manual
统计学习方法习题解答，在线阅读地址：https://datawhalechina.github.io/statistical-learning-method-solutions-manual
stock-analysis-engine
Backtest 1000s of minute-by-minute trading algorithms for training AI with automated pricing data from: IEX, Tradier and FinViz. Datasets and trading performance automatically published to S3 for building AI training datasets for teaching DNNs how to trade. Runs on Kubernetes and docker-compose. >150 million trading history rows generated from +5000 algorithms. Heads up: Yahoo's Finance API was disabled on 2019-01-03 https://developer.yahoo.com/yql/
Machine-Learning-for-Algorithmic-Trading-Second-Edition_Original
Machine Learning for Algorithmic Trading, Second Edition - published by Packt
AlphaTrading
An workflow in factor-based equity trading, including factor analysis and factor modeling. For well-established factor models, I implement APT model, BARRA's risk model and dynamic multi-factor model in this project.
maskrcnn-benchmark
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
Part-dependent-label-noise
NeurIPS'2020: Part-dependent Label Noise: Towards Instance-dependent Label Noise
AI-for-Trading
📈This repo contains detailed notes and multiple projects implemented in Python related to AI and Finance. Follow the blog here: https://purvasingh.medium.com