621 Open source projects that are alternatives of or similar to Parametric-Contrastive-Learning

ResLT: Residual Learning for Long-tailed Recognition (TPAMI 2022)

Class-imbalanced / Long-tailed ensemble learning in Python. Modular, flexible, and extensible. | 模块化、灵活、易扩展的类别不平衡/长尾机器学习库

NeurIPS’20 | Build powerful ensemble class-imbalanced learning models via meta-knowledge-powered resampler. | 设计元知识驱动的采样器解决类别不平衡问题

Scripts for training an AI to play the endless runner Subway Surfers using a supervised machine learning approach by imitation and a convolutional neural network (CNN) for image classification

Unofficial TensorFlow implementation of "AlexNet" architecture.

[ICML 2021, Long Talk] Delving into Deep Imbalanced Regression

PiGallery: AI-powered Self-hosted Secure Multi-user Image Gallery and Detailed Image analysis using Machine Learning, EXIF Parsing and Geo Tagging

A collection of SOTA Image Classification Models in PyTorch

RectLabel - An image annotation tool to label images for bounding box object detection and segmentation.

Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet

Code for the neural architecture search methods contained in the paper Efficient Forward Neural Architecture Search

Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)

OpenMMLab Image Classification Toolbox and Benchmark

Code repository for the online course Machine Learning with Imbalanced Data

Implements the ideas presented in https://arxiv.org/pdf/2004.11362v1.pdf by Khosla et al.

Bottleneck Transformers for Visual Recognition

Etiketai is an online tool designed to label images, useful for training AI models

Official Pytorch implementation of ReXNet (Rank eXpansion Network) with pretrained models

Programming Assignments and Lectures for Stanford's CS 231: Convolutional Neural Networks for Visual Recognition

[Paper 2020] Towards Better Accuracy-efficiency Trade-offs: Divide and Co-training. Plus, an image classification toolbox includes ResNet, Wide-ResNet, ResNeXt, ResNeSt, ResNeXSt, SENet, Shake-Shake, DenseNet, PyramidNet, and EfficientNet.

Trial on kaggle imagenet object localization by yolo v3 in google cloud

Labelbox is the fastest way to annotate data to build and ship computer vision applications.

Implementation of EfficientNet model. Keras and TensorFlow Keras.

implement AlexNet with C / convolutional nerual network / machine learning / computer vision

Sandbox for training deep learning networks

Neural networks training pipeline based on PyTorch

Pytorch implementation of network design paradigm described in the paper "Designing Network Design Spaces"

Code for CVPR 2019 paper: " Learning Deep Compositional Grammatical Architectures for Visual Recognition"

Powerful and efficient Computer Vision Annotation Tool (CVAT)

Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification

🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥

A curated list of long-tailed recognition resources.

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

Transfer Learning with DCNNs (DenseNet, Inception V3, Inception-ResNet V2, VGG16) for skin lesions classification

Mobilenet V2(Inverted Residual) Implementation & Trained Weights Using Tensorflow

No description or website provided.

Code for the AAAI 2022 publication "Well-classified Examples are Underestimated in Classification with Deep Neural Networks"

Easily train or fine-tune SOTA computer vision models with one open source training library

ICCV2021/2019/2017 论文/代码/解读/直播合集，极市团队整理

Tensorflow implementation of "Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network"

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

Train the HRNet model on ImageNet

🍊 🎑 Orange3 add-on for dealing with image related tasks

Implementation code of the paper: FishNet: A Versatile Backbone for Image, Region, and Pixel Level Prediction, NeurIPS 2018

PyTorch-based modular, configuration-driven framework for knowledge distillation. 🏆18 methods including SOTA are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy.

📄 Spatial Contrastive Learning for Few-Shot Classification (ECML/PKDD 2021).

[IEEE Access] "Head Network Distillation: Splitting Distilled Deep Neural Networks for Resource-constrained Edge Computing Systems" and [ACM MobiCom HotEdgeVideo 2019] "Distilled Split Deep Neural Networks for Edge-assisted Real-time Systems"

Final career project on PAC theory and imbalanced datasets

Sinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms. The SLA algorithm is described in full in this ICML 2021 paper: https://arxiv.org/abs/2102.08622.

Train faster rcnn on imagine dataset, related blog post: https://andrewliao11.github.io/object/detection/2016/07/23/detection/

Code and resources on scalable and efficient Graph Neural Networks

The simplest machine learning library for launching UIs, running evaluations, and comparing model performance.

Modernize and Extend: JPetStore on IBM Cloud Kubernetes Service

UI for Keras to implement image classification written in python and django

Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]

Xception implemented with caffe

Self-distillation with Batch Knowledge Ensembling Improves ImageNet Classification

本仓库将使用Pytorch框架实现经典的图像分类网络、目标检测网络、图像分割网络，图像生成网络等，并会持续更新！！！

Reference code for the paper "Cross-Camera Convolutional Color Constancy" (ICCV 2021)

Balanced Multiclass Image Classification with TensorFlow on Python.