enjamamulhoq Goto Github PK
Type: User
Company: University at Buffalo
Bio: Pursuing PhD in Computer Science & Engineering
Location: Buffalo, New York
Type: User
Company: University at Buffalo
Bio: Pursuing PhD in Computer Science & Engineering
Location: Buffalo, New York
Using convlstm to prediction moving mnist dataset.
ConvLSTM/ConvGRU (Encoder-Decoder) with PyTorch on Moving-MNIST
counterfactuals for magnetic resonance images of multiple sclerosis
Course notes for CS228: Probabilistic Graphical Models.
🌀 Stanford CS 228 - Probabilistic Graphical Models
Server-Client Text Chat Application in C++ with Socket Programming.
Deep Convolutional Generative Adversarial Networks
This is a tutorial to implement DeconvNet, Backpropagation, SmoothGrad, and GuidedBackprop using Keras.
This repository contains code used to create and train a deep neural network that replicates a RANS solver for aerodynamic prediction over airfoils.
Introduction to Deep Neural Networks with Keras and Tensorflow
A list of papers and resources dedicated to deep reinforcement learning
Practical assignments of the Deep|Bayes summer school 2019
Repository for Deep Structural Causal Models for Tractable Counterfactual Inference
Denoising Diffusion Probabilistic Models
Dream to Control: Learning Behaviors by Latent Imagination
A collection of examples that demonstrate how FEniCS is used to solve PDEs on regular and irregular geometries. Written in Python.
Source files and published documents for the FEniCS tutorial.
A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX
Fully-Convolutional Point Networks for Large-Scale Point Clouds
Generative Adversarial Network (GAN) Implementations from Scratch with PyTorch and TensorFlow
Voxel-Based Variational Autoencoders, VAE GUI, and Convnets for Classification
Must-read papers on graph neural networks (GNN)
GPU Accelerated Voxelization Framework for 3D CAD models.
Code for A GRAPH-CNN FOR 3D POINT CLOUD CLASSIFICATION (ICASSP 2018)
Hand PointNet: 3D Hand Pose Estimation using Point Sets
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.