AMDGPU Driver with KFD used by the ROCm project. Also contains the current Linux Kernel that matches this base driver

A small OpenCL benchmark program to measure peak GPU/CPU performance.

Linux kernel source tree

NVIDIA Linux open GPU kernel module source

Implementing Mixture of Expert using Discrete VAE with Tensorflow

Lists the papers related to imbalance problems in object detection [TPAMI]

Official Code Repository for the paper "Edge Representation Learning with Hypergraphs" (NeurIPS 2021)

Cascade Graph Neural Networks for RGB-D Salient Object Detection (ECCV20)

Robust Multimodal Vehicle Detection in Foggy Weather Using Complementary Lidar and Radar Signals, CVPR 2021.

Official PyTorch implementation of "Joint Object Detection and Multi-Object Tracking with Graph Neural Networks"

Pytorch Implementation of Tensor Fusion Networks for multimodal sentiment analysis.

Implementation of the paper "Adversarial Attacks on Neural Networks for Graph Data".

Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification (NeurIPS 2021)

A Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).

Bayesian Graph Neural Networks with Adaptive Connection Sampling - Pytorch

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

Camouflaged Object Detection, CVPR 2020 (Oral)

Uplift modeling and causal inference with machine learning algorithms

arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv

Causal Inference

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

Multi-view CNN (MVCNN) for shape recognition

Software Development Kit for the Oxford Robotcar Dataset

Should Graph Convolution Trust Neighbors? A Simple Causal Inference Method

This repository implements variational graph auto encoder by Thomas Kipf.