GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
- pytorch
- gan
- deep-learning
- super-resolution
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Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
- esrgan
- pytorch
- real-esrgan
- super-resolution
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
- reinforcement-learning
- reinforcement-learning-algorithms
- machine-learning
- gym
Minimal, clean code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.
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
Source code for Twitter's Recommendation Algorithm
Uplift modeling and causal inference with machine learning algorithms
- incubation
- machine-learning
- causal-inference
- uplift-modeling
NVIDIA cuML: GPU-Accelerated Machine Learning
- machine-learning-algorithms
- machine-learning
- cuda
- gpu
A Python implementation of LightFM, a hybrid recommendation algorithm.
- machine-learning
- recommender
- python
- matrix-factorization
SenseTime Research platform for single object tracking, implementing algorithms like SiamRPN and SiamMask.
- tracking
- computer-vision
- siamese-network
Scalable and user friendly neural :brain: forecasting algorithms.
- deep-learning
- forecasting
- esrnn
- nbeats
Module for automatic summarization of text documents and HTML pages.
- python
- lsa
- textteaser
- html-page
OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.
- reinforcement-learning
- multiagent-reinforcement-learning
- self-play
- imitation-learning
📐 Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external libs usage.
- distance
- algorithm
- python
- textdistance
Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.
- caffe
- colorization
- automatic-colorization
- deep-learning
The machine learning toolkit for time series analysis in Python
- time-series
- timeseries
- time-series-analysis
- time-series-clustering
StellarGraph - Machine Learning on Graphs
- graphs
- machine-learning
- machine-learning-algorithms
- graph-convolutional-networks
TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.
- reinforcement-learning
- tensorflow
- contextual-bandits
- bandits
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.
- ai
- fairness-ai
- fairness
- fairness-testing
Algorithms for explaining machine learning models
- machine-learning
- explanations
- interpretability
- counterfactual
a generalist algorithm for cellular segmentation with human-in-the-loop capabilities
- segmentation
- cell-segmentation
- cell-biology
A modular active learning framework for Python
- scikit-learn
- machine-learning
- python
- active-learning
A toolkit for reproducible reinforcement learning research.
- rl-algorithms
- reproducibility
- pytorch
- tensorflow