ColinShaw / machine-learning-resources
List of books and other resources that are related to deep learning
☆64Updated 4 years ago
Related projects: ⓘ
- ☆42Updated this week
- Machine learning algorithms☆112Updated 5 years ago
- Simple Experiments to Give Some Intuition behind Deep Neural Networks☆35Updated 6 years ago
- Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!☆74Updated last year
- A flexible neural network framework for running experiments and trying ideas.☆79Updated 4 years ago
- Repo for the Deep Reinforcement Learning Nanodegree program☆12Updated last year
- Contains useful deep learning notations for writing blogs, presentations, and papers.☆45Updated 4 years ago
- Computer vision sabbatical study materials☆54Updated 6 years ago
- AI101 - Comprehensive Deep Learning Tutorial☆24Updated 5 years ago
- Kaggle competition : Code and Solutions☆17Updated 7 years ago
- TensorFlow - A curated list of dedicated resources http://tensorflow.org☆87Updated 6 years ago
- This code was developed for the Intro to GANs workshop for Machine Learning Tokyo (MLT).☆66Updated 5 years ago
- Summaries and notes on Deep Learning research papers☆32Updated 8 years ago
- Notes for the Deep Learning Book☆18Updated 5 years ago
- This repository contains all my small projects related with Data Science and Machine Learning.☆45Updated last year
- Implementation of various Reinforcement Learning Algorithms☆27Updated 6 years ago
- Different machine learning algorithms implementation in Tensorflow☆27Updated 7 years ago
- Repo that generates https://github.com/full-stack-deep-learning/fsdl-text-recognizer-project☆58Updated last year
- Deep Learning using Python/C++/OpenCV☆18Updated last month
- Code for O'Reilly's "A Short Course on TensorFlow"☆103Updated 7 years ago
- The machine learning library you really understand.☆31Updated 9 months ago
- Data Science Boot-Camp : UC San DiegoX☆16Updated 11 months ago
- Full Stack Deep Learning August 2018 Bootcamp Project (Public)☆39Updated 2 years ago
- This is the code for "Backpropagation Explained" By Siraj Raval on Youtube☆36Updated 6 years ago
- A curated list of Deep Learning resources sorted by reputation☆127Updated 6 years ago
- ML Nanodegree Capstone Project - Predicting NYC Taxi Trip Duration☆12Updated 6 years ago
- A summary of interesting Machine Learning (mostly Deep Learning) papers that I encounter.☆24Updated 6 years ago
- A compiled list of kaggle competitions and their winning solutions for image problems.☆54Updated 8 years ago
- For noobs like me: how to connect your google drive to Colab and download data with kaggle API☆26Updated 5 years ago
- Data science Python notebooks—a collection of Jupyter notebooks on machine learning, deep learning, statistical inference, data analysis …☆92Updated last year