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foundations_for_deep_learning

Building a scalable foundation for deep learning

free-programming-books

:books: Freely available programming books

freecodecamp

freeCodeCamp.org's open-source codebase and curriculum. Learn to code for free.

full-stack-web-development-bootcamp-with-react-and-python

fundamentals-of-deep-learning-book

Code companion to the O'Reilly "Fundamentals of Deep Learning" book

gans

GANs in slanted land

gans-awesome-applications

Curated list of awesome GAN applications and demo

gensim

Topic Modelling for Humans

github-slideshow

A robot powered training repository :robot:

go

The Open Source Data Science Masters

hands-on-time-series-analylsis-python

Source Code for 'Hands-on Time Series Analysis with Python' by B V Vishwas and Ashish Patel

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.

hmm

An implementation of the Viterbi Algorithm for training Hidden Markov models. This repo accompanies the video found here: https://www.youtube.com/watch?v=kqSzLo9fenk

image-segmentation-with-mask-rcnn

Code for data preparation and for how to train Mask RCNN model

imageai

A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

instagram-flutter-clone

Instagram Clone developed with Flutter & Firebase

intro-to-apis-course

Introduction to APIs course

intro-to-dl

Resources for "Introduction to Deep Learning" course.

intro-to-python-for-engineers-and-scientists

Source code for 'Introduction to Python for Engineers and Scientists' by Sandeep Nagar

introdeeplearning

introductiontotensorflow2

Code related to the course "Introduction to Tensorflow for computer vision"

introduction_to_ml_with_python

Notebooks and code for the book "Introduction to Machine Learning with Python"

introtodeeplearning_labs

Lab Materials for MIT 6.S191: Introduction to Deep Learning

ipython-notebooks

A collection of IPython notebooks covering various topics.

islr-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

javascript-algorithms

📝 Algorithms and data structures implemented in JavaScript with explanations and links to further readings

kaggle

Repository for code used in Kaggle competitions.

kaggle_challenge

This is the code for "Kaggle Challenge LIVE" By Siraj Raval on Youtube

keras

Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.

keras-gan

Keras implementations of Generative Adversarial Networks.