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100-days-of-ml-code

100 Days of ML Coding

awesome-deep-learning

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

awesome-python-blogs

A curated list of Awesome Python Blogs and Newsletters for Python Developers and Newbies

awesome-rnn

Recurrent Neural Network - A curated list of resources dedicated to RNN

books

brucemen.github.io

A simple Jekyll theme for words and pictures.

brucemenold.github.io

:ramen: Minimalist Jekyll Template

brucementest.github.io

cs231n.github.io

Public facing notes page

data-science--cheat-sheet

Cheat Sheets

deeplearning-models

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

deeplearningzerotoall

TensorFlow Basic Tutorial Labs

experiment-model

experimentcalculator.com

free-programming-books-zh_cn

:books: 免费的计算机编程类中文书籍，欢迎投稿

hackerearth

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.

imbalanced-learn

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

jekyll-now

Build a Jekyll blog in minutes, without touching the command line.

kaggle

A collection of Kaggle solutions. Not very polished.

kaggle-web-traffic

1st place solution

ml-from-scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from data mining to deep learning.

neural-networks-and-deep-learning

Code samples for my book "Neural Networks and Deep Learning"

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

python-machine-learning-book

The "Python Machine Learning (1st edition)" book code repository and info resource

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MobileNet-V3/V2/V1, MNASNet, Single-Path NAS, FBNet, and more

spacy

💫 Industrial-strength Natural Language Processing (NLP) with Python and Cython

state-of-the-art-result-for-machine-learning-problems

This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.

tensorflow

An Open Source Machine Learning Framework for Everyone

tensorflow-examples

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)