Awesome Open Source
Search
Programming Languages
Languages
All Categories
Categories
About
Search results for pytorch automatic differentiation
automatic-differentiation
x
pytorch
x
24 search results found
Pennylane
⭐
2,133
PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Train a quantum computer the same way as a neural network.
Effectivepytorch
⭐
1,321
PyTorch tutorials and best practices.
Enzyme
⭐
1,142
High-performance automatic differentiation of LLVM and MLIR.
Qml
⭐
490
Introductions to key concepts in quantum programming, as well as tutorials and implementations from cutting-edge quantum computing research.
Torchopt
⭐
460
TorchOpt is an efficient library for differentiable optimization built upon PyTorch.
Betty
⭐
316
Betty: an automatic differentiation library for generalized meta-learning and multilevel optimization
Tensorcircuit
⭐
230
Tensor network based quantum software framework for the NISQ era
Torchquad
⭐
142
Numerical integration in arbitrary dimensions on the GPU using PyTorch / TF / JAX
Scorch
⭐
104
scorch is a deep learning framework in Scala inspired by PyTorch
Tensorgrad
⭐
90
Differentiable Programming Tensor Networks
Adam
⭐
82
adam implements a collection of algorithms for calculating rigid-body dynamics in Jax, CasADi, PyTorch, and Numpy.
Causing
⭐
51
Causing: CAUsal INterpretation using Graphs
Hookean Springs Pytorch
⭐
43
Hookean springs in PyTorch
Deep Learning Optimization Algorithms
⭐
37
Visualization of various deep learning optimization algorithms using PyTorch automatic differentiation and optimizers.
Springs Integration Pytorch
⭐
25
Numerical integration methods for mass-springs systems using PyTorch's autodiff
Deepflow
⭐
20
Pytorch implementation of "DeepFlow: History Matching in the Space of Deep Generative Models"
Toeffipy
⭐
13
ToeffiPy is a PyTorch like autograd/deep learning library based only on NumPy.
Numpy_autograd
⭐
9
a simple implementation of autograd engine
Profess Ad
⭐
8
PyTorch-based auto-differentiable orbital-free density functional theory package
Physics Driven Ml
⭐
8
Physics-driven machine learning using PyTorch and Firedrake
Tad Dftd4
⭐
6
PyTorch Autodiff DFT-D4 Implementation.
Tad Dftd3
⭐
6
PyTorch Autodiff DFT-D3 Implementation.
Autodiff101
⭐
5
An introduction to Automatic Differentiation with theory and code examples.
Automatic Differentiation
⭐
5
A publicly available Python package for automatic differentiation (i.e. similar to TensorFlow, PyTorch) with built-in support for root finding, optimization, quadratic splines, and animated visualization.
Related Searches
Python Pytorch (15,943)
Deep Learning Pytorch (7,533)
Jupyter Notebook Pytorch (4,892)
Machine Learning Pytorch (2,934)
Dataset Pytorch (1,848)
Pytorch Convolutional Neural Networks (1,777)
Pytorch Neural Network (1,631)
Pytorch Natural Language Processing (1,408)
Network Pytorch (1,299)
Pytorch Computer Vision (1,230)
1-24 of 24 search results
Privacy
|
About
|
Terms
|
Follow Us On Twitter
Copyright 2018-2024 Awesome Open Source. All rights reserved.