203 Open source projects that are alternatives of or similar to Tiny-Imagenet-200

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

Elyra extends JupyterLab Notebooks with an AI centric approach.

Scripts to work with LMDB + PyTorch for Imagenet training

中文 Python 笔记

Pytorch code to generate adversarial examples on mnist and ImageNet data.

Visual analysis and diagnostic tools to facilitate machine learning model selection.

73.6% GhostNet 1.0x pre-trained model on ImageNet

A collection of popular datasets for deep learning.

Nearly Perfect & Easily Understandable PyTorch Implementation of SKNet

An Introduction to Programming in Python

Xception implemented with caffe

AnacondaGO adds autocompletion, linting and IDE features for Golang to your Sublime Text 3

数据科学实践 | data science practice

A developer friendly command line cleaner program for modern macOS systems

Refined Version of @scottlawsonbc and all schematics + Tutorial 🎵🎵

Introduction to deep learning with Tensorflow.

Dataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets.

Image Upload from Android to Python-Based Flask Server

Fast Image Retrieval (FIRe) is an open source project to promote image retrieval research. It implements most of the major binary hashing methods to date, together with different popular backbone networks and public datasets.

Reference ImageNet implementation of SelecSLS CNN architecture proposed in the SIGGRAPH 2020 paper "XNect: Real-time Multi-Person 3D Motion Capture with a Single RGB Camera". The repository also includes code for pruning the model based on implicit sparsity emerging from adaptive gradient descent methods, as detailed in the CVPR 2019 paper "On implicit filter level sparsity in Convolutional Neural Networks".

SimpleAICV:pytorch training example on ImageNet(ILSVRC2012)/COCO2017/VOC2007+2012 datasets.Include ResNet/DarkNet/RetinaNet/FCOS/CenterNet/TTFNet/YOLOv3/YOLOv4/YOLOv5/YOLOX.

A PyTorch implementation for PyramidNets (Deep Pyramidal Residual Networks, https://arxiv.org/abs/1610.02915)

A 2-layer quasi-geostrophic atmospheric model in Python. Can be coupled to a simple land or shallow-water ocean component.

Deep fusion project of deeply-fused nets, and the study on the connection to ensembling

Autoencoder trained on ImageNet Using Torch 7

Official PyTorch Implementation for "Rotate to Attend: Convolutional Triplet Attention Module." [WACV 2021]

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

Tools for generating mini-ImageNet dataset and processing batches

Hands on Imagenet training. Unofficial ModelZoo project on Pytorch. MobileNetV3 Top1 75.64🌟 GhostNet1.3x 75.78🌟

A plug-in replacement for DataLoader to load ImageNet disk-sequentially in PyTorch.

Self-distillation with Batch Knowledge Ensembling Improves ImageNet Classification

PyTorch C++ inference with LibTorch

Clone with Python! Data structures for double stranded DNA & simulation of homologous recombination, Gibson assembly, cut & paste cloning.

Sandbox for training deep learning networks

Implementation of Conda's activate/deactivate functions in Powershell.

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

TF-NAS: Rethinking Three Search Freedoms of Latency-Constrained Differentiable Neural Architecture Search (ECCV2020)

Code for the paper Benchmark Analysis of Representative Deep Neural Network Architectures

custom implementation alexnet with tensorflow

A lightweight convolutional neural network

Tool to evaluate deep-learning detection and segmentation models, and to create datasets

⚡ Useful scripts when using TensorRT

EfficientNetV2 implementation using PyTorch

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

Selective Classification For Deep Neural Networks.

Training examples and results for ImageNet(ILSVRC2012)/CIFAR100/COCO2017/VOC2007+VOC2012 datasets.Image Classification/Object Detection.Include ResNet/EfficientNet/VovNet/DarkNet/RegNet/RetinaNet/FCOS/CenterNet/YOLOv3.

Set up your GitHub Actions workflow with conda via miniconda

This implements training of popular model architectures, such as AlexNet, ResNet and VGG on the ImageNet dataset(Now we supported alexnet, vgg, resnet, squeezenet, densenet)

PyTorch implementation of EfficientNetV2 family

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

Anaconda turns your Sublime Text 3 in a full featured Python development IDE including autocompletion, code linting, IDE features, autopep8 formating, McCabe complexity checker Vagrant and Docker support for Sublime Text 3 using Jedi, PyFlakes, pep8, MyPy, PyLint, pep257 and McCabe that will never freeze your Sublime Text 3

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

Compare neural networks by their feature similarity

🛠 All-in-one web-based IDE specialized for machine learning and data science.

conda recipes for freecad and dependencies of freecad

PyTorch implementation of Lambda Network and pretrained Lambda-ResNet

This is the final project for the Udacity Machine Learning Nanodegree: Predicting article retweets and likes based on the title using Machine Learning

A conda tool to work with multiple projects in development mode.

Bottleneck Transformers for Visual Recognition

My Solution to Assignments of CS231n in Winter2016