soundsoul

soundsoul's Stars

• Visualize-ML/Book1_Python-For-Beginners

  Book_1_《编程不难》 | 鸢尾花书：从加减乘除到机器学习；请多多批评指正！

  Language:Jupyter Notebook5.1k997

• github/gitignore

  A collection of useful .gitignore templates

  163k83.1k

• davidmrau/mixture-of-experts

  PyTorch Re-Implementation of "The Sparsely-Gated Mixture-of-Experts Layer" by Noam Shazeer et al. https://arxiv.org/abs/1701.06538

  Language:Python1k105

• conda-forge/miniforge

  A conda-forge distribution.

  Language:Shell6.8k343

• alibaba/DataX

  DataX是阿里云DataWorks数据集成的开源版本。

  Language:Java16.1k5.5k

• tata1661/FSL-Mate

  FSL-Mate: A collection of resources for few-shot learning (FSL).

  Language:Python1.7k290

• sudharsan13296/Awesome-Meta-Learning

  A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.

  1.5k297

• artix41/awesome-transfer-learning

  Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)

  1.7k301

• ddbourgin/numpy-ml

  Machine learning, in numpy

  Language:Python15.8k3.8k

• keon/algorithms

  Minimal examples of data structures and algorithms in Python

  Language:Python24.2k4.6k

• aappleby/smhasher

  Automatically exported from code.google.com/p/smhasher

  Language:C++2.7k473

• BrambleXu/pydata-notebook

  利用Python进行数据分析 第二版 (2017) 中文翻译笔记

  Language:Jupyter Notebook4.6k1.6k

• thunlp/KRLPapers

  Must-read papers on knowledge representation learning (KRL) / knowledge embedding (KE)

  Language:TeX1.5k247

• totalgood/nlpia

  Examples and libraries for "Natural Language Processing in Action" book

  Language:HTML624266

• rasbt/deeplearning-models

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

  Language:Jupyter Notebook16.8k4k

• blue-yonder/tsfresh

  Automatic extraction of relevant features from time series:

  Language:Jupyter Notebook8.5k1.2k

• LeeDoYup/RobustSTL

  Unofficial Implementation of RobustSTL: A Robust Seasonal-Trend Decomposition Algorithm for Long Time Series (AAAI 2019)

  Language:Jupyter Notebook28351

• afshinea/stanford-cs-229-machine-learning

  VIP cheatsheets for Stanford's CS 229 Machine Learning

  17.8k4k

• bbfamily/abu

  阿布量化交易系统(股票，期权，期货，比特币，机器学习) 基于python的开源量化交易，量化投资架构

  Language:Python12.4k3.8k

• django/django

  The Web framework for perfectionists with deadlines.

  Language:Python81.6k32k

• yzhao062/pyod

  A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques

  Language:Python8.7k1.4k

• shubhomoydas/ad_examples

  A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

  Language:Python849185

• guillaume-chevalier/LSTM-Human-Activity-Recognition

  Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

  Language:Jupyter Notebook3.4k937

• cs231n/cs231n.github.io

  Public facing notes page

  Language:Jupyter Notebook10.3k4.1k

• apache/metron

  Apache Metron

  Language:Java853508

• cycleuser/Stanford-CS-229

  A Chinese Translation of Stanford CS229 notes 斯坦福机器学习CS229课程讲义的中文翻译

  Language:MATLAB3.3k853

• exacity/deeplearningbook-chinese

  Deep Learning Book Chinese Translation

  Language:TeX35.9k9.1k

• karpathy/convnetjs

  Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.

  Language:JavaScript10.9k2k

• apache/spark

  Apache Spark - A unified analytics engine for large-scale data processing

  Language:Scala40.2k28.4k

• terryum/TensorFlow_Exercises

  The codes I made while I practiced various TensorFlow examples

  Language:Jupyter Notebook617197