🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Repository Index
47,133 repositories indexed
1–11 of 11 · Most stars
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
Deep universal probabilistic programming with Python and PyTorch
TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.
StellarGraph - Machine Learning on Graphs
Genetic Programming in Python, with a scikit-learn inspired API
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
ChemML is a machine learning and informatics program suite for the chemical and materials sciences.
NeoDTI: Neural integration of neighbor information from a heterogeneous network for discovering new drug-target interactions
Stream Processing Made Easy