DimitrisCC

CommunityTracking

Tracking communities in Dynamic Social Graphs with algorithms such as Timerank, GED and more. This is a fork from Ilias Sarantopoulos' original implementations.

DLProject

Project for the Deep Learning course on Graph Classification

Awesome-CV

:page_facing_up: Awesome CV is LaTeX template for your outstanding job application

Bios6301

Biostatistics 301: Introduction to Statistical Computing

Bios8366

Advanced Statistical Computing at Vanderbilt University's Department of Biostatistics

Build-an-AI-Startup-with-PyTorch

test

Deep-Gaussian-Process

🤿 Implementation of doubly stochastic deep Gaussian Process using GPflow and TensorFlow 2.0

deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

Deep-Reinforcement-Learning-Algorithms-with-PyTorch

PyTorch implementations of deep reinforcement learning algorithms and environments

Doubly-Stochastic-DGP

Deep Gaussian Processes with Doubly Stochastic Variational Inference

FBNN

Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)

GPflow-Slim

customized GPflow with simple Tensorflow API

GPPVAE

Gaussian Process Prior Variational Autoencoder

gpytorch

A highly efficient and modular implementation of Gaussian Processes in PyTorch

HI-VAE

hyperbolic-image-embeddings

Supplementary code for the paper "Hyperbolic Image Embeddings".

Kaggle-course

Kernel for the Kaggle course of Aalto University about Porto Seguro's Safe Driver competition

Made-With-ML

Learn how to responsibly develop, deploy and maintain production machine learning applications.

ML-From-Scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

nssm-gp

Non-stationary spectral mixture kernels implemented in GPflow

pygcn

Graph Convolutional Networks in PyTorch

pytorch-CycleGAN-and-pix2pix

Image-to-image translation in PyTorch (e.g., horse2zebra, edges2cats, and more)

pytorch-for-numpy-users

PyTorch for Numpy users.

RL-Project

RL stuff yeah

semi-supervised-pytorch

Implementations of various VAE-based semi-supervised and generative models in PyTorch

STGCN-IJCAI-18

Spatio-Temporal Graph Convolutional Networks

sylvester-flows

Forked version of Sylvester flows that works with Python 3.7 and PyTorch 1.1

TCRGP

TCRGP, a novel Gaussian process method that can predict if TCRs recognize certain epitopes. This method can utilize different CDR sequences from both TCRα and TCRβ chains from single-cell data and learn which CDRs are important in recognizing the different epitopes.

tf2_course

Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course

variational-autoencoder

Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)