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GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
Image annotation with Python. Supports polygon, rectangle, circle, line, point, and AI-assisted annotation.
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
:satellite: All You Need to Know About Deep Learning - A kick-starter
Graph Neural Networks with Keras and Tensorflow 2.
StarDist - Object Detection with Star-convex Shapes
A curated list of Monte Carlo tree search papers with implementations.
NeoDTI: Neural integration of neighbor information from a heterogeneous network for discovering new drug-target interactions