akshare

AkShare is an elegant and simple financial data interface library for Python, built for human beings!

albert_zh

A LITE BERT FOR SELF-SUPERVISED LEARNING OF LANGUAGE REPRESENTATIONS, 海量中文预训练ALBERT模型

alexfang.github.io

Alex Fang's Personal Blog

animegan

A Tensorflow implementation of AnimeGAN for fast photo animation ! This is the Open source of the paper <AnimeGAN: a novel lightweight GAN for photo animation>, which uses the GAN framwork to transform real-world photos into anime images.

as-gcn

tensorflow-as-gcn

autoformer

About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008

awesome-automl-and-lightweight-models

A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures, 3.) Model Compression, Quantization and Acceleration, 4.) Hyperparameter Optimization, 5.) Automated Feature Engineering.

bayesian-neural-network-blogpost

Building a Bayesian deep learning classifier

bepb

Config files for my GitHub profile.

bert-textclassification

Implemention some Baseline Model upon Bert for Text Classification

binance-public-data

Details on how to get Binance public data

captcha-recognition-digit-number

【Framework】This is a captcha recognition algorithm tailored for 4 length digit recognition. Written in CNN, Tensorflow 1.3-1.7.

carrot

Free ChatGPT Site List 这儿为你准备了众多免费好用的ChatGPT镜像站点，当前100+站点

causalml

Uplift modeling and causal inference with machine learning algorithms

chaos_further_study

classifier-balancing

This repository contains code for the paper "Decoupling Representation and Classifier for Long-Tailed Recognition", published at ICLR 2020

client

🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.

colossalai

Making big AI models cheaper, easier, and more scalable

conquer_binance_nft

cpp_primer_practice

搞定C++:punch:。C++ Primer 中文版第5版学习仓库，包括笔记和课后练习答案。

crypto-alpha191

cryptofeed

Cryptocurrency Exchange Websocket Data Feed Handler

csi500_quant_strategy

cta_fundamental_strategy

ddsp

DDSP: Differentiable Digital Signal Processing

deeplearning-models

A collection of various deep learning architectures, models, and tips

deeplearningnotes

机器学习和量化分析学习进行中

enas-tensorflow

Efficient Neural Architecture search via parameter sharing(ENAS) micro search Tensorflow code for windows user

event-driven-stock-prediction-using-deep-learning

A deep learning method for event driven stock market prediction. Deep learning is useful for event-driven stock price movement prediction by proposing a novel neural tensor network for learning event embedding, and using a deep convolutional neural network to model the combined influence of long-term events and short-term events on stock price movements

financial_feature_engineering_cross_sample

【Framework】Let the neural network 'freely' learn the relationship between different stocks. An intuitive example in quantitative finance, tensorflow 1.3.0.