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

Serving TensorFlow models with TensorFlow Serving 📙

Serving PyTorch models with TorchServe 🔥

Model Serving Made Easy

ImVisible: Pedestrian Traffic Light Dataset, Neural Network, and Mobile Application for the Visually Impaired (CAIP '19, ICCVW'19)

A set of demo of deploying a Machine Learning Model in production using various methods

BentoML Example Projects 🎨

A simple image dataset EDA tool (CLI / Code)

Completely Scalable FastAPI based template for Machine Learning, Deep Learning and any other software project which wants to use Fast API as an API framework.

A collaborative tool for labeling image data for yolo

MLOps template with examples for Data pipelines, ML workflow management, API development and Monitoring.

Label Studio is a multi-type data labeling and annotation tool with standardized output format

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

UI for Keras to implement image classification written in python and django

MONAI Deploy aims to become the de-facto standard for developing, packaging, testing, deploying and running medical AI applications in clinical production.

Clothing detection dataset

FastAPI application without global variables(almost) =)

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

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

Public reusable components for Polyaxon

Balanced Multiclass Image Classification with TensorFlow on Python.

✂️ Automated high-quality background removal framework for an image using neural networks. ✂️

MyBB CAPTCHA Solver using Convolutional Neural Network in Keras

Feature rich robust FastAPI template.

基于Fastapi开发，集成Celery-redis分布式任务队列、JWT 用户系统、ElasticSearch和encode orm的基础项目模板，大家可以根据自己的需求在本模板上进行修改

Tensorflow object detection with tracking based on the DeepSort algorithm

Side projects and hands-on work

Pre-trained VGG-Net Model for image classification using tensorflow

Coarse-grained lineage and tracing for machine learning pipelines.

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

Evaluate wandb, tensorboard, neptune, mlflow, etc

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。

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

Modernize and Extend: JPetStore on IBM Cloud Kubernetes Service

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

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

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

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

Paper notes in deep learning/machine learning and computer vision

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

[ICLR2022] official implementation of UniFormer

An umbrella project for multiple implementations of model serving

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

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

PyTorch implementation of shake-drop regularization

Implementation of Conv-based and Vit-based networks designed for CIFAR.

image classifier, retrained for specific classes

MLOps Case Study

Projects developed by Domino's R&D team

Kraken CI is a continuous integration and testing system.

色图API

FastAPI Notes Example using databases and postgresql

🔎 Search articles with personalized results on ptt/studyabroad

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.

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.

Image annotation tool to make Machine Learning or others stuffs

Kedro Plugin to support running pipelines on Kubernetes using Airflow.

How to use and test fastAPI with an aiohttp client

Deep Metric Transfer for Label Propagation with Limited Annotated Data

Deployment template for a continuous training pipeline.

Cache with async power