A lightweight auto-differentiation and backpropagation library written in python using numpy.
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Jul 26, 2024 - Python
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auto-differentiation
Here are 16 public repositories matching this topic...
MicrogradPlus is an educational project aiming to provide a simple, yet extensible, NumPy-based automatic differentiation library.
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Oct 12, 2023 - Python
Neural Network library made with numpy
machine-learning
deep-learning
neural-network
neural-networks
tensors
auto-differentiation
neural-networks-from-scratch
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Oct 31, 2020 - Python
autoD is a lightweight, flexible automatic differentiation for python3 based on numpy.
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Aug 28, 2020 - Python
Differentiable tensor renormalization group
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Dec 5, 2019 - Python
Calculates partial derivatives of an input function.
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Sep 17, 2023 - Python
Library for auto differentiation based purely on NumPy
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Dec 6, 2023 - Python
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Dec 6, 2019 - Python
Differentiable Gaussian Process implementation for PyTorch
machine-learning
pytorch
artificial-intelligence
gaussian-processes
auto-differentiation
gaussian-process-regression
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Jul 8, 2018 - Python
Unitful Quantities in JAX
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Nov 15, 2024 - Python
Сustom torch style machine learning framework with automatic differentiation implemented on numpy, allows build GANs, VAEs, etc.
machine-learning
deep-learning
neural-network
automatic-differentiation
autograd
generative-adversarial-network
gan
mnist
autoencoder
vae
convolutional-neural-network
auto-differentiation
variational-autoencoder
autodiff
numpy-neural-network
auto-diff
numpy-model
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Aug 3, 2024 - Python
Galactic and Gravitational Dynamics in Python (+ GPU and autodiff)
astronomy
dynamics
astrodynamics
astrophysics
gpu-acceleration
dynamical-systems
galaxy
auto-differentiation
jax
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Nov 15, 2024 - Python
skscope: Sparse-Constrained OPtimization via itErative-solvers
python
scikit-learn
nonlinear-optimization
auto-differentiation
jax
sparsity-optimization
non-convex-optimization
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Oct 26, 2024 - Python
AutoDiff DAG constructor, built on numpy and Cython. A Neural Turing Machine and DeepQ agent run on it. Clean code for educational purpose.
machine-learning
reinforcement-learning
deep-learning
recurrent-neural-networks
lstm
dropout
mnist
neural-turing-machines
question-answering
cartpole
lstm-model
lenet
convolutional-networks
convolutional-neural-networks
deep-q-network
computational-graphs
auto-differentiation
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Feb 27, 2020 - Python
Iterative Linear Quadratic Regulator with auto-differentiatiable dynamics models
theano
cartpole
mpc
control-systems
trajectory-optimization
optimal-control
ddp
dynamics-models
auto-differentiation
pendulum
trajectory-tracking
differential-dynamic-programming
model-predictive-control
non-linear-optimization
model-predictive-controller
ilqg
ilqr
mpc-control
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Jun 21, 2022 - Python
Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
computer-vision
deep-learning
neural-network
cuda
high-dimensional-data
pytorch
convolutional-neural-networks
auto-differentiation
semantic-segmentation
space-time
spatio-temporal-analysis
3d-vision
3d-convolutional-network
sparse-tensors
sparse-convolution
high-dimensional-inference
trilateral-filter
4d-convolutional-neural-network
minkowski-engine
sparse-tensor-network
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Mar 5, 2024 - Python
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