中文NER的那些事儿

Deploy DL/ ML inference pipelines with minimal extra code.

A minimalistic and pluggable machine learning platform for Kubernetes.

Distributed model cache for TF Serving

This is an end-to-end project in the agricultural domain. A Convolutional Neural Network (CNN) model is trained to detect whether a tomato plant has a particular disease by using a picture of its leaf. The model can be accessed from a mobile application or a web page.

[Late Submission] Solution for Kuzushiji recognition (Kaggle competition)

finetune with keras

Simple examples of serving HuggingFace models with TensorFlow Serving

Client for TensorFlow Serving

A Flask REST API to serve trained ChatBots using Tensorflow Serving and Docker Containers

Serving YOLOv8 detection model with tf-serving

Image Deblurring/Restoration Web Application Powered by Deep Learning

Creating a Dockerized stack environment using MLflow, mysql and Minio to manage the lifecycle of TensorFlow models.

This is a deep learning project in agriculture domain that detect plants diseases

Using pachyderm as pipeline engine to serve "taxi chicago" machine learning models

Use TF serving for predictions

Brain Tumor Classification done by using deep-learning (CNN) for the sake of detecting and classifying different kinds of brain-tumors; for quick detection and providing correct medications. Link of the website 👇

Potato Disease Classification done by using deep-learning and for the sake of knowing various diseases caused to Potato plant and for quick remedial action. Link of the website 👇

Bot for the online pokemon guessing game: https://gearoid.me/pokemon/