bg4xsd Goto Github PK

alphalens

Performance analysis of predictive (alpha) stock factors

ast

Code for the Interspeech 2021 paper "AST: Audio Spectrogram Transformer".

astock_monitor_serverx

A股监控服务

audioclassification-pytorch

基于Pytorch实现的声音分类

audioset_tagging_cnn

auto-pytorch

Automatic architecture search and hyperparameter optimization for PyTorch

auto-sklearn

Automated Machine Learning with scikit-learn

autots

Automated Time Series Forecasting

awesome_time_series_in_python

This curated list contains python packages for time series analysis

backtrader_plotting

Plotting addon for backtrader to support Bokeh (and maybe more)

bayesian-analysis-with-python

《用Python做贝叶斯分析》

bg4xsd.github.io

chartjs-chart-treemap

Chart.js module for creating treemap charts

codespaces-jupyter

Explore machine learning and data science with Codespaces

codespaces_python_env

Codespaces Python Environment

codespaces_r_env

Codespace template for R languange

conformer

PyTorch implementation of "Conformer: Convolution-augmented Transformer for Speech Recognition" (INTERSPEECH 2020)

cwlab

Some work about Ham CW, Morse code,

decrypt-mflac-frida

解密 Windows QQ Music mflac 文件

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

deep_decoder

Automatic CW decodeer by using deep nerual network

dslab

Data Science Lab

getting-things-done-with-pytorch

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

hundun

🦋 hundun is a python library for the exploration of chaos.

intro2ds

《数据科学概论》各章代码及案例数据

kaggle_works

Some works from kaggle

klinechart

📈Lightweight k-line chart that can be highly customized. Zero dependencies. Support mobile.（可高度自定义的轻量级k线图，无第三方依赖，支持移动端）

learn_backtrader

BackTrader中文教程笔记（by：量化投资与机器学习），系统性介绍Bactrader的特性、策略构建、数据结构、回测交易等，彻底掌握量化神器的使用方法。章节：介绍篇、数据篇、指标篇、交易篇、策略篇、可视化篇……（持续更新中）

learning_environments

masr

Pytorch实现的流式与非流式的自动语音识别框架，同时兼容在线和离线识别，目前支持Conformer、Squeezeformer、DeepSpeech2模型，支持多种数据增强方法。