A unified, comprehensive and efficient recommendation library
- recommender-systems
- collaborative-filtering
- knowledge-graph
- ctr-prediction
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A unified, comprehensive and efficient recommendation library
Scalable and user friendly neural :brain: forecasting algorithms.
Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.
A highly efficient implementation of Gaussian Processes in PyTorch
A python library for self-supervised learning and latent world models on images.
OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.
Fast, flexible and easy to use probabilistic modelling in Python.
Visual tracking library based on PyTorch.
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.
Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2
Accelerated deep learning R&D
Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
Data manipulation and transformation for audio signal processing, powered by PyTorch
Multilingual Automatic Speech Recognition with word-level timestamps and confidence
Automatic architecture search and hyperparameter optimization for PyTorch
Reinforcement Learning in PyTorch
An open source library and framework for deep learning on satellite and aerial imagery.
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
A toolkit for reproducible reinforcement learning research.
Transform geospatial relations into graphs for Graph Neural Networks and spatial network analysis
Clean PyTorch implementations of imitation and reward learning algorithms
A deep learning toolkit for healthcare AI: EHR (MIMIC, eICU, OMOP), clinical text, signals and imaging. 30+ models, reproducible pipelines.
An offline deep reinforcement learning library