422 Open source projects that are alternatives of or similar to ResNet-50-CBAM-PyTorch

[ECCV 2020] Official Pytorch implementation for "Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification". SOTA results for ZSL and GZSL

Image classification of wildflowers using deep residual learning and convolutional neural nets

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！！！

Topic clustering library built on Transformer embeddings and cosine similarity metrics.Compatible with all BERT base transformers from huggingface.

Paper notes in deep learning/machine learning and computer vision

Tool to gather main colors of an image using Unity.

nnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without manual intervention. It includes guides for 12 data sets that were used to develop and evaluate the performance of the proposed method.

ViNet Pushing the limits of Visual Modality for Audio Visual Saliency Prediction

Bottleneck Transformers for Visual Recognition

Modernize and Extend: JPetStore on IBM Cloud Kubernetes Service

A Rock-Paper-Scissors game using computer vision and machine learning on Raspberry Pi

Concise, Modular, Human-friendly PyTorch implementation of MixNet with Pre-trained Weights.

Parametric Contrastive Learning (ICCV2021)

Its a social networking chat-bot trained on Reddit dataset . It supports open bounded queries developed on the concept of Neural Machine Translation. Beware of its being sarcastic just like its creator 😝 BDW it uses Pytorch framework and Python3.

A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model Deployment.

Zalo AI Challenge - Music Genre Classification

A simple logo classifier developed using Maixduino framework and PlatfomIO, to run on K210 MCU on Sipeed's Maix dev board.

This repository contains the dataset and the source code for the classification of food categories from meal images.

Tensorflow Image classifier that can predict the breed of a dog from it photo. Trained on image dataset of 5 different breed of dogs (rottweiler, bulldog, pug, german shepherds, labrador). Interestingly the classifier was able to predict the breed of the dogs even from images of their toys.

PyTrx is a Python object-oriented programme created for the purpose of calculating real-world measurements from oblique images and time-lapse image series. Its primary purpose is to obtain velocities, surface areas, and distances from oblique, optical imagery of glacial environments.

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.

🍔🍟🍗 Food analysis baseline with Theseus. Integrate object detection, image classification and multi-class semantic segmentation. 🍞🍖🍕

[ICLR2022] official implementation of UniFormer

No description or website provided.

Hyperparameter-Free Out-of-Distribution Detection Using Softmax of Scaled Cosine Similarity

Highly efficient PyTorch version of the Semi-hard Triplet loss ⚡️

Image annotation tool to make Machine Learning or others stuffs

Source code for our "TitleStylist" paper at ACL 2020

R package for generating color palettes from arbitrary images.

No description or website provided.

Provably defending pretrained classifiers including the Azure, Google, AWS, and Clarifai APIs

Implementation of Sparse Shift Layer and Active Shift Layer (3D, 4D, 5D tensors) for PyTorch(CPU,GPU)

Resolver Sudoku de genina.com

A repo containing code covering various aspects of deep learning on Pytorch. Great for beginners and intermediate in the field

Extract deep learning features from images using simple python interface

Awesome Pytorch Tutorials

Implementation of DeepMind's Deep Generative Model of Radar (DGMR) https://arxiv.org/abs/2104.00954

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

Easy-to-use scripts for training and inferencing with Xception on your own dataset

A unified program to check predictions of different convolutional neural networks for image classification.

Organize your meme image cluster in a better format using OCR from the meme to sort them using tesseract along with editing memes by segmenting them using OpenCV within a directory

Serving PyTorch models with TorchServe 🔥

Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.

A collaborative tool for labeling image data for yolo

Implement of Dynamic Model Pruning with Feedback with pytorch

[TPAMI Under Submission] Generative Multi-Label Zero-Shot Learning

Code for the ACL 19 paper "Neural Keyphrase Generation via Reinforcement Learning with Adaptive Rewards"

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

No description or website provided.

PyTorch implementation of GANs (Generative Adversarial Networks). DCGAN, Pix2Pix, CycleGAN, SRGAN

The collection of pre-trained, state-of-the-art AI models for ailia SDK

If you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!

VFRAME: Visual Forensics and Metadata Extraction

Reproduce some methods in semi-supervised papers.

Detecting skin cancer in encrypted images with TensorFlow

Deep Metric Transfer for Label Propagation with Limited Annotated Data

Code and dataset for the IJCAI 2021 paper "Document-level Relation Extraction as Semantic Segmentation".

Machine Learning platform in-browser for creators

[AAAI 2020] Code release for "Domain Conditioned Adaptation Network" https://arxiv.org/abs/2005.06717

PyTorch implementation of EfficientNetV2 family