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100-days-of-ml-code

My progress on the #100-days-of-ML-code challenge.

a-programmer-s-guide-to-data-mining

A good book for reading

algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

automated-feature-engineering

Automated feature engineering in Python with Featuretools

awesome-algorithm

结构化算法刷题训练指南 (希望大家支持一下！)

awesome-courses

List of awesome university courses for learning Computer Science!

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

base

AForge.NET Framework is a C# framework designed for developers and researchers in the fields of Computer Vision and Artificial Intelligence - image processing, neural networks, genetic algorithms, machine learning, robotics, etc.

best-deep-learning-optimizers

Collection of the latest, greatest, deep learning optimizers (for Pytorch) - CNN, NLP suitable

cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5

cntk

Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

data-science--cheat-sheet

Cheat Sheets

deep-learning-vol-1-and-vol-2-from-basics-to-practice

Deep Learning Vol 1 From Basics to Practice and Deep Learning Vol 2 From Basics to Practice

deep-learning-wizard

Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, C++ and more.

deep_architecture_genealogy

Deep Learning Architecture Genealogy Project

deeplearningbookcode-volume1

Python/Jupyter notebooks for Volume 1 of "Deep Learning - From Basics to Practice" by Andrew Glassner

deeplearningbookcode-volume2

Python/Jupyter notebooks for Volume 2 of "Deep Learning - From Basics to Practice" by Andrew Glassner

deeplearningstars

Top Deep Learning Projects based on their Stars!

deeplearningtutorials

Deep Learning Tutorial notes and code. See the wiki for more info.

deeplearningzerotoall

TensorFlow Basic Tutorial Labs

effective_python_notebook

feature-selector

Feature selector is a tool for dimensionality reduction of machine learning datasets

framework

Machine learning, computer vision, statistics and general scientific computing for .NET

glove.py

Python implementation of GloVe word embedding algorithm (Pennington et al., 2014) for educational purposes

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

hyperparameter-optimization

Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms

icsharp

C# kernel for Jupyter

ijavascript

IJavascript is a javascript kernel for the Jupyter notebook

image-super-resolution

Implementation of Super Resolution CNN in Keras.