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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

3dcnn4fmri

3dmfv-net

Point cloud classification in Real-time using 3DmFV representation and CNNs

3dpointcloudobjectclassifier

A CNN to classify 3d point clouds

3dunetcnn

Keras 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation

a-point-set-generation-network-for-3d-object-reconstruction-from-a-single-image

adversarial-robustness-toolbox

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

all-the-algorithms

An implementation of all algorithms on Wikipedia's List of algorithms in Cython

augmented-neural-odes

Pytorch implementation of Augmented Neural ODEs :sunflower:

awesome-causal-inference

A curated list of awesome work on causal inference, particularly in machine learning.

awesome-causality-algorithms

An index of algorithms for learning causality with data

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-neural-ode

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

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

barycentric

tools for working with / plotting barycentric coordinates in python

bayesian-neural-network-pytorch

PyTorch implementation of bayesian neural network.

bcdu-net

BCDU-Net : Medical Image Segmentation

bound-confounded-causal-effects

causal-inference-tutorial

Repository with code and slides for a tutorial on causal inference.

causal-ml

Must-read papers and resources related to causal inference and machine (deep) learning

causalgan

cnn-automated-feature-extraction

This repository consists code for the feature creation from structured data using CNN technique, along with input data and output data

cnn-lstm

CNN with LSTM to predict next frame

coding-interview-university

A complete computer science study plan to become a software engineer.

colorizing-with-gans

Grayscale Image Colorization with Generative Adversarial Networks. https://arxiv.org/abs/1803.05400

comparativevis

Comparative Visualization with VTK/ParaView

convlstm

Convolutional LSTM for video segmentation with Keras