205 Open source projects that are alternatives of or similar to tf-imagenet

Object Tracking in Tensorflow ( Localization Detection Classification ) developed to partecipate to ImageNET VID competition

Detecting Pneumonia in Chest X-ray Images using Convolutional Neural Network and Pretrained Models

No description or website provided.

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

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

Caffe models (including classification, detection and segmentation) and deploy files for famouse networks

Inception model used to classify camera feed on real time. Coded during the Deep Learning Hackathon 2017 San Francisco

Code and models for the paper Shape-Texture Debiased Neural Network Training (ICLR 2021)

Xception implemented with caffe

Pytorch implementation of "All Tokens Matter: Token Labeling for Training Better Vision Transformers"

A collection of SOTA Image Classification Models in PyTorch

Autoencoder trained on ImageNet Using Torch 7

🤖 Cozmo the Robot recognizes objects with TensorFlow

Scripts to work with LMDB + PyTorch for Imagenet training

Compare neural networks by their feature similarity

Parametric Contrastive Learning (ICCV2021)

Unofficial TensorFlow implementation of "AlexNet" architecture.

SCR caches checkpoint data in storage on the compute nodes of a Linux cluster to provide a fast, scalable checkpoint / restart capability for MPI codes.

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

Self-distillation with Batch Knowledge Ensembling Improves ImageNet Classification

PyTorch implementation of Lambda Network and pretrained Lambda-ResNet

Create mxnet finetuner (retrain) for mac/linux ,no need install docker and supports CPU, GPU(eGpu/cudnn).support the inception,resnet ,squeeznet,mobilenet...

ImageNet pre-trained SharpPeleeNet can be used in real-time Semantic Segmentation/Objects Detection

Nested Hierarchical Transformer https://arxiv.org/pdf/2105.12723.pdf

Fast and simple homebrew save manager for 3DS and Switch.

No description or website provided.

FW1-Loggrabber is a command-line tool to grab logfiles from remote Checkpoint devices using OPSEC LEA (Log Export API)

This is a liam cottle instagram private library with checkpoint issue solved. Checkpoint required error solved and can be found at examples folder.

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

[ECCV 2020] Scale Adaptive Network: Learning to Learn Parameterized Classification Networks for Scalable Input Images

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

73.6% GhostNet 1.0x pre-trained model on ImageNet

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

记录每一个常用的深度模型结构的特点（图和代码）

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

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

Nearly Perfect & Easily Understandable PyTorch Implementation of SKNet

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.

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

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

Real-time Object Recognition using Apple's CoreML 2.0 and Vision API -

Built by Avik Jain, Anish Nag, Sahas Dendukuri, Hari Senthilkumar, and Rishi Upadhyay at Angelhack Silicon Valley 2017.

🔬 Some personal research code on analyzing CNNs. Started with a thorough exploration of Stanford's Tiny-Imagenet-200 dataset.

[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"

Training Low-bits DNNs with Stochastic Quantization

custom implementation alexnet with tensorflow

一个集审核、执行、备份及生成回滚语句于一身的MySQL自动化运维工具（inception） 的增强版本

EfficientNetV2 implementation using PyTorch

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

Tool that assists in migrating firewall rules from Cisco to Checkpoint. Will optimize rules for you (rationalization, reuse merging, etc.).

Selective Classification For Deep Neural Networks.

User space POSIX-like file system in main memory

Tensorflow Implementation of FaceNet: A Unified Embedding for Face Recognition and Clustering to find the celebrity whose face matches the closest to yours.

FlinkTutorial 专注大数据Flink流试处理技术。从基础入门、概念、原理、实战、性能调优、源码解析等内容，使用Java开发，同时含有Scala部分核心代码。欢迎关注我的博客及github。

Unofficial Pytorch implementation of Deep Compression in CIFAR10

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

PyTorch implementation of EfficientNetV2 family

Turn-key solution to checkpoint/restore applications running in Linux containers

DAWNBench: An End-to-End Deep Learning Benchmark and Competition

Bottleneck Transformers for Visual Recognition