Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.
- autodiff
- deep-learning
- machine-learning
- rust
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Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.
CUDA Templates and Python DSLs for High-Performance Linear Algebra
AI Toolkit for Healthcare Imaging
Efficiently computes derivatives of NumPy code.
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
A PyTorch Library for Accelerating 3D Deep Learning Research
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.
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
Deep probabilistic analysis of single-cell and spatial omics data
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
Official Repository for the Uni-Mol Series Methods
Foundation Models for Genomics & Transcriptomics
Python package for graph neural networks in chemistry and biology
TensorFlow Implementation for Computing a Semantically Segmented Bird's Eye View (BEV) Image Given the Images of Multiple Vehicle-Mounted Cameras.
A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)
OpenChem: Deep Learning toolkit for Computational Chemistry and Drug Design Research
Chainer Chemistry: A Library for Deep Learning in Biology and Chemistry
Fashion Detection in the Wild (Deep Clothes Detector)
Graph-linked unified embedding for single-cell multi-omics data integration
Tools for computational pathology
Reference mapping for single-cell genomics
Maze Applied Reinforcement Learning Framework
Automated 3D cell detection in very large images