Pierre Gourseaud's starred repositories
How-to-Grow-Neat-Software-Architecture-out-of-Jupyter-Notebooks
Growing the code out of your notebooks - the right way.
Made-With-ML
Learn how to design, develop, deploy and iterate on production-grade ML applications.
HpBandSter
a distributed Hyperband implementation on Steroids
auto-sklearn
Automated Machine Learning with scikit-learn
hyperlearn
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
awesome-deep-learning-papers
The most cited deep learning papers
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
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
Machine-Learning-Tutorials
machine learning and deep learning tutorials, articles and other resources
awesome-rl
Reinforcement learning resources curated
coding-interview-university
A complete computer science study plan to become a software engineer.
ohmyzsh
🙃 A delightful community-driven (with 2,400+ contributors) framework for managing your zsh configuration. Includes 300+ optional plugins (rails, git, macOS, hub, docker, homebrew, node, php, python, etc), 140+ themes to spice up your morning, and an auto-update tool that makes it easy to keep up with the latest updates from the community.
deeplearning-papernotes
Summaries and notes on Deep Learning research papers
machine_learning_examples
A collection of machine learning examples and tutorials.
PGPortfolio
PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"(https://arxiv.org/pdf/1706.10059.pdf).
data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
pomegranate
Fast, flexible and easy to use probabilistic modelling in Python.
product-nets
Tensorflow implementation of Product-based Neural Networks. An extended version is at https://github.com/Atomu2014/product-nets-distributed.
spark-gotchas
Spark Gotchas. A subjective compilation of the Apache Spark tips and tricks
awesome-spark
A curated list of awesome Apache Spark packages and resources.