deep-residual-networks-pyfunt

Proper implementation of ResNet-s for CIFAR10/100 in pytorch that matches description of the original paper.

The official implementation of [CVPR2022] Decoupled Knowledge Distillation https://arxiv.org/abs/2203.08679 and [ICCV2023] DOT: A Distillation-Oriented Trainer https://openaccess.thecvf.com/content/ICCV2023/papers/Zhao_DOT_A_Distillation-Oriented_Trainer_ICCV_2023_paper.pdf

Unofficial PyTorch Reimplementation of RandAugment.

Multi-Scale Dense Networks for Resource Efficient Image Classification （ICLR 2018 Oral）

Quickly comparing your image classification models with the state-of-the-art models (such as DenseNet, ResNet, ...)

AI Testing Toolkit for AI applications

The official implementation of paper: "Inter-Instance Similarity Modeling for Contrastive Learning"

Sign Language Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras frameworks.

:dart: Accurate sums and dot products for Python.

Training ImageNet / CIFAR models with sota strategies and fancy techniques such as ViT, KD, Rep, etc.