300 Open source projects that are alternatives of or similar to Open-Set-Recognition

Sandbox for training deep learning networks

Neural network library written in C and Javascript

Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.

Training Low-bits DNNs with Stochastic Quantization

Simple Keras implementation of Triplet-Center Loss on the MNIST dataset

Create adversarial images to fool a MNIST classifier in TensorFlow

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

Autoencoder trained on ImageNet Using Torch 7

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

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

Tensorflow Implementation of open set domain adaptation by backpropagation

Implementation of LeNet5 without any auto-differentiate tools or deep learning frameworks. Accuracy of 98.6% is achieved on MNIST dataset.

Nearly Perfect & Easily Understandable PyTorch Implementation of SKNet

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

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

Selective Classification For Deep Neural Networks.

CVPR 2019: Ranked List Loss for Deep Metric Learning, with extension for TPAMI submission

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A realtime digit OCR on the browser using Machine Learning

An optimizer that trains as fast as Adam and as good as SGD in Tensorflow

SE-Net Incorporates with ResNet and WideResnet on CIFAR-10/100 Dataset.

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

A Pytorch implementation of "Deep Convolutional Generative Adversarial Networks"

Bottleneck Transformers for Visual Recognition

Unofficial TensorFlow implementation of "AlexNet" architecture.

ImageNet model implemented using the Keras Functional API

Open-source code for our paper: Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition

Handwritten text to synths!

Replace FC2, LeNet-5, VGG, Resnet, Densenet's full-connected layers with MPO

TensorBasicModel

PyTorch implementation of Lambda Network and pretrained Lambda-ResNet

GBDT (Gradient Boosted Decision Tree: 勾配ブースティング) のpythonによる実装

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Handwritten digit recognizer using a feed-forward neural network and the MNIST dataset of 70,000 human-labeled handwritten digits.

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

Deep Learning with Tensorflow/Keras: Digit recognition based on mnist-dataset and convolutional neural-network on iOS with CoreML

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

Code for the Paper: "Conditional Variational Capsule Network for Open Set Recognition", Y. Guo, G. Camporese, W. Yang, A. Sperduti, L. Ballan, arXiv:2104.09159, 2021.

Comparing FC VAE / FCN VAE / PCA / UMAP on MNIST / FMNIST

Compare neural networks by their feature similarity

A fast Tsetlin Machine implementation employing bit-wise operators, with MNIST demo.

TensorFlow ImageNet - Training and SOTA checkpoints

Multi-Classification on dataset of MNIST

A modified extractor for the CROHME handwritten math symbols dataset.

PyTorch implementation of Conditional Deep Convolutional Generative Adversarial Networks (cDCGAN)

A Flask web app for handwritten digit recognition using machine learning

PyTorch implementation of EfficientNetV2 family

Convolutional Neural Network with CUDA (MNIST 99.23%)

Neural nets for MNIST classification, simple single layer NN, 5 layer FC NN and convolutional neural networks with different architectures

No description or website provided.

Code for the paper "DisCont: Self-Supervised Visual Attribute Disentanglement using Context Vectors".

Implementation of key concepts of neuralnetwork via numpy

Experiments on cluttered mnist dataset with Tensorflow.

Scripts to work with LMDB + PyTorch for Imagenet training

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

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

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

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

No.2 solution of Tianchi ImageNet Adversarial Attack Challenge.

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