structure-based explanation methods

Source code examples for our **C++20 Fundamentals LiveLessons** Videos

Constructing Balanced and Robust Splits for Molecular Dataset

Repository with examples and exercises for OLCF and AMD's HIP training series

Codes to complement YouTube videos and blog posts on Medium.

Code for training PhysNet models

Dompe's project

Educational materials on deep learning by Weights & Biases

DimeNet and DimeNet++ models, as proposed in "Directional Message Passing for Molecular Graphs" (ICLR 2020) and "Fast and Uncertainty-Aware Directional Message Passing for Non-Equilibrium Molecules…

GemNet model in PyTorch, as proposed in "GemNet: Universal Directional Graph Neural Networks for Molecules" (NeurIPS 2021)

This repository categorizes the papers about diffusion models applied in computer vision according to their target task. The classifcation is based on our survey: https://arxiv.org/abs/2209.04747v1

This repo shares the code, dataset and pretrained models for our ECCV 2020 work "Where to Explore Next? ExHistCNN for History-aware Autonomous 3D Exploration"

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

Pearls of wisdom for programmers collected from leading practitioners.

heavy metal ion detection using SERS

🖍️ LabelImg is a graphical image annotation tool and label object bounding boxes in images

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

FFCV: Fast Forward Computer Vision (and other ML workloads!)

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."

PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)

Prevent `CUDA error: out of memory` in just 1 line of code.

[CVPR2020] CascadePSP: Toward Class-Agnostic and Very High-Resolution Segmentation via Global and Local Refinement

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

A state-of-the-art semi-supervised method for image recognition