enjamamulhoq's repositories
3D-ConvNeuralNet-material-property-prediction
This repo includes the dataset/code of 3D Convolutional Neural Network for material property prediction
3D-Machine-Learning
A resource repository for 3D machine learning
3DUnetCNN
Keras 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation
awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
awesome-normalizing-flows
A list of awesome resources on normalizing flows.
awesome-point-cloud-analysis
A list of papers and datasets about point cloud analysis (processing)
awesome-quantum-machine-learning
Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web
BCDU-Net
BCDU-Net : Medical Image Segmentation
CSE-589
Server-Client Text Chat Application in C++ with Socket Programming.
diffusion
Denoising Diffusion Probabilistic Models
dreamer
Dream to Control: Learning Behaviors by Latent Imagination
fenics-tutorial
Source files and published documents for the FEniCS tutorial.
ml-class
Machine learning lessons and teaching projects designed for engineers
NURBS-Python
Object-oriented pure Python B-Spline and NURBS library
Physics-Based-Deep-Learning
Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond
PINN-laminar-flow
Physics-informed neural network for solving fluid dynamics problems
Pixel2Mesh
Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images. In ECCV2018.
pointnet-1
PyTorch implementation of "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593
pvcnn
[NeurIPS 2019, Spotlight] Point-Voxel CNN for Efficient 3D Deep Learning
python_for_microscopists
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
SRFlow
Official SRFlow training code: Super-Resolution using Normalizing Flow in PyTorch
stripy
2D spherical and Cartesian triangulation toolkit using tripack, stripack, srfpack and ssrfpack
super-resolution
Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution
t81_558_deep_learning
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
tensorlayer
Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥
the-gan-zoo
A list of all named GANs!
ugscnn
Spherical CNNs on Unstructured Grids Using Parameterized Differential Operators