GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
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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.
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)
Scalable and user friendly neural :brain: forecasting algorithms.
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.
Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.
StellarGraph - Machine Learning on Graphs
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
A curated list of Monte Carlo tree search papers with implementations.
Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)
Panoptic segmentation algorithms for 2D and 3D electron microscopy images