S0852306

PointNeXt

[NeurIPS'22] PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies

pointnet2

PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

pointMLP-pytorch

[ICLR 2022 poster] Official PyTorch implementation of "Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework"

pykan

Kolmogorov Arnold Networks

pykan_mnist

Kolmogorov Arnold Networks trained on MNIST

pointnet

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

pointnet.pytorch

pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593

scanobjectnn

Code for Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data, ICCV 2019

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

pytorch-examples

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

PyTorch-LBFGS

A PyTorch implementation of L-BFGS.

SciMLBook

Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)

awesome-control-theory

Awesome resources for learning control theory

pdearena

MNIST-for-Numpy

A simple, easy to use MNIST loader written in Python 3

micrograd

A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

awesome-neural-ode

A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.

scipy

SciPy library main repository

Courseware-on-Finite-Element-Methods

matlab-mnist-two-layer-perceptron

A two layer perceptron implemented in MatLab to recognize handwritten digits based on the MNIST dataset.

pytorchTutorial

PyTorch Tutorials from my YouTube channel

apollo

Apollo: An Adaptive Parameter-wise Diagonal Quasi-Newton Method for Nonconvex Stochastic Optimization

simpleNN

A fully connected neural network classifier with arbitrary number of hidden layers, different activation functions, etc..

fem-book

Resources for the book "Introduction to Numerical Methods for Variational Problems" by H. P. Langtangen and K.-A. Mardal

Numpy-NeuralNet-1

A Vanilla Numpy-only Feed-Forward Neural Network.

torchdiffeq

Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

L-BFGS-B

A pure Matlab implementation of L-BFGS-B (LBFGSB)

kbfgs_neurips2020_public

Surface-Fitting-Neural-Networks

Neural nets for high accuracy multivariable nonlinear regression.