515 Open source projects that are alternatives of or similar to Paddleclas

Supervised Classification of bird species 🐦 in high resolution images, especially for, Himalayan birds, having diverse species with fairly low amount of labelled data

WB color augmenter improves the accuracy of image classification and image semantic segmentation methods by emulating different WB effects (ICCV 2019) [Python & Matlab].

A collection of SOTA Image Classification Models in PyTorch

Efficient Learning of Augmentation Policy Schedules

Brevitas: quantization-aware training in PyTorch

Easy-to-use UI for automatically sparsifying neural networks and creating sparsification recipes for better inference performance and a smaller footprint

Random Erasing Data Augmentation. Experiments on CIFAR10, CIFAR100 and Fashion-MNIST

No description or website provided.

PyTorch implementation of RICAP (Random Image Cropping And Patching)

RMDL: Random Multimodel Deep Learning for Classification

Inspired by HBO's Silicon Valley: SeeFood is an iOS app that uses CoreML to detect various dishes

An easy to use C# deep learning library with CUDA/OpenCL support

Implementation of the mixup training method

High-performance Vision library in Python. Scale your research, not boilerplate.

Dataset of images of trash; Torch-based CNN for garbage image classification

OpenMMLab Image Classification Toolbox and Benchmark

Palette quantization library that powers pngquant and other PNG optimizers

A Python library for audio data augmentation. Inspired by albumentations. Useful for machine learning.

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller

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

Powerful and efficient Computer Vision Annotation Tool (CVAT)

Residual Attention Network for Image Classification

一键中文数据增强包 ； NLP数据增强、bert数据增强、EDA：pip install nlpcda

Deep Learning Computer Vision Algorithms for Real-World Use

Data augmentation tool for images

An Open-Source Package for Deep Learning to Hash (DeepHash)

🌓 Bringing pjreddie's DarkNet out of the shadows #yolo

Lossy PNG compressor — pngquant command based on libimagequant library

Compare SELUs (scaled exponential linear units) with other activations on MNIST, CIFAR10, etc.

An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks

A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet).

AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.

A Guidance on PyTorch Coding Style Based on Kaggle Dogs vs. Cats

Differentiable architecture search for convolutional and recurrent networks

Amazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks

Tensorflow based training and classification scripts for text, images, etc

DeltaPy - Tabular Data Augmentation (by @firmai)

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

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

Light-weight Single Person Pose Estimator

🍎 My own face recognition with deep neural networks.

Label Studio is a multi-type data labeling and annotation tool with standardized output format

[CVPR 2021] Involution: Inverting the Inherence of Convolution for Visual Recognition, a brand new neural operator

Deep Convolutional Neural Networks for Musical Source Separation

Medical image processing in Python

Gluon CV Toolkit

Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)

Experiments with Mobile

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

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

Neural networks training pipeline based on PyTorch

猫狗大战

C# Yolo Darknet Wrapper (real-time object detection)

A Implementation of SpecAugment with Tensorflow & Pytorch, introduced by Google Brain

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

Must-read papers on deep learning to hash (DeepHash)

A system for quickly generating training data with weak supervision

Implementation of Bottleneck Transformer in Pytorch

detect stages in video automatically

Data Augmentation by Backtranslation (DAB) ヽ( •_-)ᕗ