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Amazon Web Services
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Learn to write Rust procedural macros [Rust Latam conference, Montevideo Uruguay, March 2019]
Command-line interface to quickly generate fake CSV and JSON data
An autonomous AI racecar using NVIDIA Jetson Nano
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research
Deep Reinforcement learning and Python learn how to play the original Super Mario Bros
Speech recognition module for Python, supporting several engines and APIs, online and offline.
FizzBuzz Enterprise Edition is a no-nonsense implementation of FizzBuzz made by serious businessmen for serious business purposes.
Resumes generated using the GitHub informations
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
A collection of learning resources for curious software engineers
VIP cheatsheets for Stanford's CS 229 Machine Learning
Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course
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.
PyTorch Tutorial for Deep Learning Researchers
Master programming by recreating your favorite technologies from scratch.
Rough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content listed there, carefully. - Guillaume Chevalier
Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier
Free Security and Hacking eBooks