outlace / Outlace.github.io

TensorFlow implementation of the Value Iteration Networks (NIPS '16) paper

An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

Deep Reinforcement Learning for Keras.

Repo for the Deep Reinforcement Learning Nanodegree program

Qualia is a deep learning framework deeply integrated with automatic differentiation and dynamic graphing with CUDA acceleration. Qualia was built from scratch.

Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog

TensorFlow and Deep Learning Tutorials

RLgraph: Modular computation graphs for deep reinforcement learning

Computer code collated for use with Artificial Intelligence Engines book by JV Stone

This is just a collection of projects that made during my DEEPLEARNING NANODEGREE by UDACITY

How to use TensorLayer

Get started with Machine Learning in TensorFlow with a selection of good reads and implemented examples!

Grokking Deep Reinforcement Learning

Monthly Series - Top 10 Machine Learning Articles

SharpNEAT - Evolution of Neural Networks. A C# .NET Framework.

A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility

A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

YerevaNN blog

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.