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academic-kickstart

📝 Easily create a beautiful website using Academic, Hugo, and Netlify

adelaidet

AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.

ai_all_resources

A curated list of Best Artificial Intelligence Resources

anmol098

If you are forking please do not forget to star the repo

autonomouscar

AutonomousCar

baal

Using approximate bayesian posteriors in deep nets for active learning

balancedgroupsoftmax

CVPR 2020 oral paper: Overcoming Classifier Imbalance for Long-tail Object Detection with Balanced Group Softmax.

centerface

face detection

clip

Contrastive Language-Image Pretraining

coclr

[NeurIPS'20] Self-supervised Co-Training for Video Representation Learning. Tengda Han, Weidi Xie, Andrew Zisserman.

computer_vision_projects

This repository contains various Computer Vision projects

computervision

Computer Vision techniques on Photmetric Stereoand Color, Neighborhood Processingand Filters, Harris Corner Detector and Optical Flow, Image Alignment and Stitching, Bag-of-Words and CNNs for Image Classification.

computervision-recipes

Best Practices, code samples, and documentation for Computer Vision.

cosine-ood-detector

Hyperparameter-Free Out-of-Distribution Detection Using Softmax of Scaled Cosine Similarity

d2go

D2Go is a toolkit for efficient deep learning

darknet

YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )

datamining

Data Mining techniques on predicting mood using time-series analysis in mental health and predicting the click behaviour of users in a hotel ranking system.

deconvolution

deep-learning-in-production

In this repository, I will share some useful notes and references about deploying deep learning-based models in production.

deep-learning-notes

Experiments with Deep Learning

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

deep_openset_recognition_through_uncertainty

PyTorch code for our paper: Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Generative Classifiers? https://arxiv.org/abs/1908.09625

deepgenerativemodels

Variational Auto Encoders (VAEs), Generative Adversarial Networks (GANs) and Generative Normalizing Flows (NFs) and are the most famous and powerful deep generative models.

deeplearning

Deep learning techniques on classification tasks (MLP, CNN), analysis of sequential data (RNN) and implementation of generative models (VAE, GAN and NF).

detectron2-resnest

A fork of Detectron2 with ResNeSt backbone

detectron2_backbone

detectron2 backbone: resnet18, efficientnet, hrnet, mobilenet v2, resnest, bifpn

diffusion

Denoising Diffusion Probabilistic Models

efficientdet-pytorch

A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights

efficientnet-pytorch

A PyTorch implementation of EfficientNet

evolutionarycomputing

Using evolutionary algorithm to maximise three 10-dimensional continuous functions (Bent Cigar, Katsuura, and Schaffers F7).