🧑🏫 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
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100 Days of ML Coding
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.
50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
Minimal and clean examples of machine learning algorithms implementations
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
A Python implementation of LightFM, a hybrid recommendation algorithm.
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.
A collection of research papers on decision, classification and regression trees with implementations.
A curated list of community detection research papers with implementations.
A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).
(IROS 2020, ECCVW 2020) Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics"
Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
ID3-based implementation of the ML Decision Tree algorithm
Plug and Play Language Model implementation. Allows to steer topic and attributes of GPT-2 models.
A curated list of gradient boosting research papers with implementations.
TensorFlow Implementation for Computing a Semantically Segmented Bird's Eye View (BEV) Image Given the Images of Multiple Vehicle-Mounted Cameras.
A curated list of Monte Carlo tree search papers with implementations.
A ground-up and standalone reimplementation of TensorFlow for ruby. Comes with a pure ruby and OpenCL opcode evaluator
A blazing fast matrix library for Elixir/Erlang with C implementation using CBLAS.
A Naive Bayes machine learning implementation in Elixir.
A distributed Spark/Scala implementation of the isolation forest and extended isolation forest algorithms for unsupervised outlier detection, featuring support for scalable training and ONNX export for easy cross-platform inference.