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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Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learn...
- java
- gpu
- deeplearning
- neural-nets
Open3D: A Modern Library for 3D Data Processing
- mesh-processing
- computer-graphics
- opengl
- cpp
NumPy & SciPy for GPU
- cuda
- cudnn
- cublas
- cusolver
C++ tensors with broadcasting and lazy computing
- c-plus-plus-14
- numpy
- multidimensional-arrays
- tensors
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.
Multi-dimensional arrays (tensors) and numerical definitions for Elixir
SIMD-accelerated distances, dot products, matrix ops, geospatial & geometric kernels for 16 numeric types — from 6-bit floats to 64-bit complex — across x86, Arm, RISC-V, and WASM, with bindings for Python, Rust, C, C++, Swift, JS, and Go 📐
A lightweight high performance tensor algebra framework for modern C++
- tensors
- tensor-contraction
- multidimensional-arrays
- simd
DiffSharp: Differentiable Functional Programming
- machine-learning
- tensor
- dotnet
- autodiff
U-Net Brain Tumor Segmentation
- tensorflow
- tensorlayer
- unet
- medical-imaging
Python library for multilinear algebra and tensor factorizations
Neural networks toolbox focused on medical image analysis
- python
- keras
- convolutional-neural-networks
- brain
A lightweight library to calculate tensors in Swift, which has similar APIs to TensorFlow's
Mir (backports): Sparse tensors, Hoffman
- mir
- glas
- blas
- mir-glas
The implementation code for "DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction"
- generative-adversarial-network
- mri-reconstruction
- computer-vision
- deep-learning
The V Tensor Library
- v
- hacktoberfest
- autograd
- deep-learning
Scientific computing in pure Crystal
- crystal
- linear-algebra
- machine-learning
- autograd
Batched NVIDIA MotionBricks: generate the motion of hundreds of characters in one model call.
- character-animation
- crowd-simulation
- motion-generation
- motionbricks
⚡ Open-source software for deep learning-based digital pathology
- deep-learning
- machine-learning
- digital-pathology
- computational-pathology
Learning cell communication from spatial graphs of cells
- tensorflow
- gnn
- glm
- cvae
Accelerated tensor operations and dynamic neural networks based on reverse mode automatic differentiation for every device that can run Swift - from watchOS to Linux
- deep-learning
- deep-neural-networks
- gradient-descent
- automatic-differentiation
A platform independent tensor library with autograd for the JVM
- java
- library
- deep-neural-networks