625 Open source projects that are alternatives of or similar to chitra

python/fastapi + golang/gin + Vue + docker 基于异步技术栈的个人博客系统

Filter visualization, Feature map visualization, Guided Backprop, GradCAM, Guided-GradCAM, Deep Dream

Binary Image Classification in TensorFlow

Evaluate wandb, tensorboard, neptune, mlflow, etc

Real time image classification with React Native and Tensorflow lite.

FastAPI + MySQL Web项目生成器 ，个人认为较为合理的项目组织结构；基于apscheduler的定时任务。

Monitor the stability of a Pandas or Spark dataframe ⚙︎

[Machine Learning Engineer Basic Guide] 부스트캠프 AI Tech - Product Serving 자료

Simple project that I write using fastapi, motor, and umongo for the backend. VueJS on the frontend

Modernize and Extend: JPetStore on IBM Cloud Kubernetes Service

🎲 A curated list of MLOps projects, tools and resources

Subscribe to this GitHub repo to access the latest tech talks, tech demos, learning materials & modules, and developer community updates!

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

Traffic Sign Recognition with Keras.

GitHub Action that allows you to register models to your Azure Machine Learning Workspace.

A debug toolbar for FastAPI.

An R 📦 to find, process, and describe "areas of interest"

Pytorch implementation of pyramidnet

Scripts for training an AI to play the endless runner Subway Surfers using a supervised machine learning approach by imitation and a convolutional neural network (CNN) for image classification

Impementation of MobileNetV2 in pytorch

Paper notes in deep learning/machine learning and computer vision

PyTorch implementation of "WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation", CVPR 2017

AiTLAS implements state-of-the-art AI methods for exploratory and predictive analysis of satellite images.

Accelerated deep learning R&D

[ICLR2022] official implementation of UniFormer

NFNets and Adaptive Gradient Clipping for SGD implemented in PyTorch

An umbrella project for multiple implementations of model serving

Transfer Learning Suite in Keras. Perform transfer learning using any built-in Keras image classification model easily!

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

A TensorFlow implementation of Group Normalization on the task of image classification

PyTorch implementation of shake-drop regularization

Image classification for everyone.

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

Deep Learning API and Server in C++14 support for Caffe, Caffe2, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE

image classifier, retrained for specific classes

Code and Pretrained model for IGCV3

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

Implementation of Transformer in Transformer, pixel level attention paired with patch level attention for image classification, in Pytorch

Kraken CI is a continuous integration and testing system.

An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

色图API

Sandbox for training deep learning networks

🔎 Search articles with personalized results on ptt/studyabroad

A script in python to organize your images by similarity.

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.

Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning. CVPR 2018

How to use and test fastAPI with an aiohttp client

Deep Metric Transfer for Label Propagation with Limited Annotated Data

A machine learning experiment

Deployment template for a continuous training pipeline.

IPyPlot is a small python package offering fast and efficient plotting of images inside Python Notebooks. It's using IPython with HTML for faster, richer and more interactive way of displaying big numbers of images.

IdenProf dataset is a collection of images of identifiable professionals. It is been collected to enable the development of AI systems that can serve by identifying people and the nature of their job by simply looking at an image, just like humans can do.

Cache with async power

Two-Stage Convolutional Neural Network for Breast Cancer Histology Image Classification. ICIAR 2018 Grand Challenge on BreAst Cancer Histology images (BACH)

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)

This is a master project of some experiments with Neural Networks. Every project here is runnable, visualized and explained clearly.

FuseML aims to provide an MLOps framework as the medium dynamically integrating together the AI/ML tools of your choice. It's an extensible tool built through collaboration, where Data Engineers and DevOps Engineers can come together and contribute with reusable integration code.

Middleware for Starlette that allows you to store and access the context data of a request. Can be used with logging so logs automatically use request headers such as x-request-id or x-correlation-id.

Block-wisely Supervised Neural Architecture Search with Knowledge Distillation (CVPR 2020)

implement AlexNet with C / convolutional nerual network / machine learning / computer vision