Repository Index

🧑‍🏫 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, ... 🧠

• deep-learning
• deep-learning-tutorial
• pytorch
• gan

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

• machine-learning
• deep-learning
• deep-reinforcement-learning
• machine-learning-from-scratch

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

• reinforcement-learning
• reinforcement-learning-algorithms
• machine-learning
• gym

Minimal and clean examples of machine learning algorithms implementations

• machine-learning
• deep-learning
• neural-networks
• machine-learning-algorithms

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

• wandb
• reinforcement-learning
• pytorch
• python

A Python implementation of LightFM, a hybrid recommendation algorithm.

• machine-learning
• recommender
• python
• matrix-factorization

PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry. Create meaningful quantum algorithms, from inspiration to implementation.

• quantum
• machine-learning
• deep-learning
• neural-network

A collection of research papers on decision, classification and regression trees with implementations.

• decision-tree
• decision-tree-classifier
• gradient-boosting
• gradient-boosting-machine

A curated list of community detection research papers with implementations.

• graph-clustering
• network-clustering
• clustering
• dimensionality-reduction

(IROS 2020, ECCVW 2020) Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics"

• computer-vision
• machine-learning
• robotics
• tracking

Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking

• diffusion-models
• docking
• binding
• computational-biology

Plug and Play Language Model implementation. Allows to steer topic and attributes of GPT-2 models.

• language-modeling
• natural-language-generation
• machine-learning
• deep-learning

A curated list of gradient boosting research papers with implementations.

• gradient-boosting
• gradient-boosting-classifier
• gradient-boosting-machine
• gradient-boosted-trees

TensorFlow Implementation for Computing a Semantically Segmented Bird's Eye View (BEV) Image Given the Images of Multiple Vehicle-Mounted Cameras.

• computer-vision
• machine-learning
• deep-learning
• autonomous-vehicles

A curated list of Monte Carlo tree search papers with implementations.

• tree-search
• learning
• machine-learning
• deep-learning

Python-based implementations of algorithms for learning on imbalanced data.

• data-science
• machine-learning
• imbalanced-data
• notre-dame

The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).

• shapley
• shapley-value
• owen
• voting-classifier