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97-things-every-programmer-should-know

Pearls of wisdom for programmers collected from leading practitioners.

afp-lse

AFP-LSE: Antifreeze Proteins Prediction Using Latent Space Encoding of Composition of k-Spaced Amino Acid Pairs

cascadepsp

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

deepinversion

Official PyTorch implementation of Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion (CVPR 2020)

diffusion-models-in-vision-a-survey

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

dimenet

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" (NeurIPS-W 2020)

dwt-domain-adaptation

Code for paper "Unsupervised Domain Adaptation using Feature-Whitening and Consensus Loss" (CVPR 2019)

e3_diffusion_for_molecules

exhistcnn

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"

ffcv

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

gemnet_pytorch

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

koila

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

labelimg

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

mean-teacher

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

minimal-entropy-correlation-alignment

Code for the paper "Minimal-Entropy Correlation Alignment for Unsupervised Deep Domain Adaptation", ICLR 2018

mmt

[ICLR-2020] Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification.

nlnl-negative-learning-for-noisy-labels

NLNL: Negative Learning for Noisy Labels

noisy_labels

TRAINING DEEP NEURAL-NETWORKS USING A NOISE ADAPTATION LAYER

paddledetection

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

pencil

PyTorch implementation of Probabilistic End-to-end Noise Correction for Learning with Noisy Labels, CVPR 2019.

physnet

Code for training PhysNet models

pytorch-grad-cam

PyTorch implementation of Grad-CAM

rtmscore

Dompe's project

selfless-sequential-learning

sersml

heavy metal ion detection using SERS

shawhint-llm

Codes to complement YouTube videos and blog posts on Medium.

simclr

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

sky-segmentation-and-post-processing

supcontrast

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

temporal-shift-module

[ICCV 2019] TSM: Temporal Shift Module for Efficient Video Understanding