CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

The fastai deep learning library

TensorFlow Tutorials with YouTube Videos

links to conference publications in graph-based deep learning

A collection of infrastructure and tools for research in neural network interpretability.

PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.

"Deep Generative Modeling": Introductory Examples

Pytorch Geometric Tutorials

categorical variational autoencoder using the Gumbel-Softmax estimator

Official Implementation of "ADOPT: Modified Adam Can Converge with Any β2 with the Optimal Rate"

Source Code for FINCH Clustering Algorithm

Graph Neural PDEs

PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models(NeurIPS 2024 Spotlight)

Advances on machine learning of graphs, covering the reading list of recent top academic conferences.

PyTorch implementation of SIFT descriptor

This repository consists content, assignments, assignments solution and study material provided by ineoron ML masters course

Repository for CS109A Fall 2018

Graph Information Bottleneck (GIB) for learning minimal sufficient structural and feature information using GNNs

scDeepCluster for Single Cell RNA-seq data

Code for the intrinsic dimensionality estimate of data representations

Graph Structured Neural Network

[WWW2022] Geometric Graph Representation Learning via Maximizing Rate Reduction

Reconstructing the content of image based on paper "Understanding Deep Image Representations by Inverting Them"

Single cell current best practices tutorial case study for the paper:Luecken and Theis, "Current best practices in single-cell RNA-seq analysis: a tutorial"