fangsfdavid

ignite

High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.

MEMD-Python-

Python version of the Multivariate Empirical Mode Decomposition algorithm

PyMultiNest

Pythonic Bayesian inference and visualization for the MultiNest Nested Sampling Algorithm and PyCuba's cubature algorithms.

TimeSeries_Seq2Seq

This repo aims to be a useful collection of notebooks/code for understanding and implementing seq2seq neural networks for time series forecasting. Networks are constructed with keras/tensorflow.

awesome-plasma-physics-courses

:books: List of awesome university courses to learn Plasma Physics and Fusion!

awesome-python-cn

Python资源大全中文版，内容包括：Web框架、网络爬虫、网络内容提取、模板引擎、数据库、数据可视化、图片处理、文本处理、自然语言处理、机器学习、日志、代码分析等

awesome_time_series_in_python

This curated list contains python packages for time series analysis

basic_information_theory

early-stopping-pytorch

Early stopping for PyTorch

fastai

The fastai deep learning library

fastbook

The fastai book, published as Jupyter Notebooks

fastpages

An easy to use blogging platform, with enhanced support for Jupyter Notebooks.

flow-forecast

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

HyperTS

A Full-Pipeline Automated Time Series (AutoTS) Analysis Toolkit.

Infomax-pytorch

This is a simple pytorch implementation of Deep-INFOMAX

interviews.ai

This book was written for you: an aspiring data scientist with a quantitative background, facing down the gauntlet of the interview process in an increasingly competitive field. For most of you, the interview process is the most significant hurdle between you and a dream job.

jupyter-book

Build interactive, publication-quality documents from Jupyter Notebooks

matlab_kernel

Jupyter Kernel for Matlab

ml-helio.github.io

Website of the ML-Helio conference

mmdetection

OpenMMLab Detection Toolbox and Benchmark

MVGC1

The MVGC Multivariate Granger Causality toolbox for Granger-causal inference from time-series data.

neural_prophet

NeuralProphet: A simple forecasting package

pymeridian

python for meridian project.

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2, MNASNet, Single-Path NAS, FBNet, and more

ray

An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

sample-blog

This is a sample blog that uses Fastpages from FastAI.

singularity

Singularity: Application containers for Linux

team-learning-data-mining

主要存储Datawhale组队学习中“数据挖掘/机器学习”方向的资料。

TimeSeriesAnalysisWithPython

wavelets

Torrence & Compo Wavelet Analysis Software