This repository includes tutorials on how to use the TensorFlow estimator APIs to perform various ML tasks, in a systematic and standardised way
APACHE-2.0 License
🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo
Code for Tensorflow Machine Learning Cookbook
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Tensorflow Tutorial files and Implementations of various Deep NLP and CV Models.
Disentangled representation learning model for digital pathology data as a custom similarity metr...
Quick and Dirty TensorFlow command framework to train and evaluate models and make inference
Easy Tensorflow/Keras feature Preprocessing Pipelines
ktrain is a Python library that makes deep learning and AI more accessible and easier to apply
TensorFlow template application for deep learning
Deep learning library featuring a higher-level API for TensorFlow.
This project demonstrates how to run and save predictions locally using exported tensorflow estim...
Neural machine translation and sequence learning using TensorFlow
Build tensorflow keras model pipelines in a single line of code. Now with mlflow tracking. Create...
TensorFlow Recommenders is a library for building recommender system models using TensorFlow.
Use any TensorFlow model in a single line of code