Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI

Examples and guides for using the Gemini API

A 4-hour coding workshop to understand how LLMs are implemented and used

A basic implementation of Layer-wise Relevance Propagation (LRP) in PyTorch.

A toolbox to iNNvestigate neural networks' predictions!

Curated list of awesome papers for electronic health records(EHR) mining, machine learning, and deep learning.

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

Stream your reMarkable screen over SSH.

Framework for sensitive DE testing (using neighbourhoods)

Live share to a browser the drawing made on a ReMarkable tablet

RefDNN: a reference drug based neural network for more accurate prediction of anticancer drug resistance (Scientific Reports)

PyTorch implementation of Pointnet2/Pointnet++

PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)

PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

Code for the "Grammar Variational Autoencoder" https://arxiv.org/abs/1703.01925

A Deep Learning based Efficacy Prediction System for drug discovery

This repository is an archive of emails that are sent by the awesome Quincy Larson every week.

3D convolutional neural network for video classification

❗ This is a read-only mirror of the CRAN R package repository. wle — Weighted Likelihood Estimation

Dynamic Multimodal Instance Segmentation Guided by Natural Language Queries, ECCV 2018

Implementation of Graph Convolutional Networks in TensorFlow

Graph Convolutional Networks for Text Classification. AAAI 2019

A PyTorch implementation of "Graph Convolutional Networks for Text Classification." (AAAI 2019)

Pytorch Implementation of OpenAI's PixelCNN++

Sarus implementation of classical ML models. The models are implemented using the Keras API of tensorflow 2. Vizualization are implemented and can be seen in tensorboard.