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PankajMehar's Projects

tensorflow-tutorials-2 icon tensorflow-tutorials-2

텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다

tensorflow-without-a-phd icon tensorflow-without-a-phd

A crash course in six episodes for software developers who want to become machine learning practitioners.

terminalizer icon terminalizer

🦄 Record your terminal and generate animated gif images or share a web player

text-analytics-with-python icon text-analytics-with-python

Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer.

text-detection-ctpn icon text-detection-ctpn

text detection mainly based on ctpn model in tensorflow, id card detect, connectionist text proposal network

text-summarization icon text-summarization

Text summarization algorithm for the Capstone Project at Springboard code bootcamp

text2vec icon text2vec

Easily generate document/paragraph/sentence vectors and calculate similarity.

textgenrnn icon textgenrnn

Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.

tf-explain icon tf-explain

Interpretability Methods for tf.keras models with Tensorflow 2.x

tf-model-deploy-tutorial icon tf-model-deploy-tutorial

A tutorial exploring multiple approaches to deploy a trained TensorFlow (or Keras) model or multiple models for prediction.

tf_models icon tf_models

Personal experiment on DL models implemented on TF.

tf_serving_example icon tf_serving_example

Deployment of TensorFlow models into production with TensorFlow Serving, Docker, Kubernetes and Microsoft Azure

tf_serving_keras icon tf_serving_keras

Sample Angular application for dog breed detection, where target Keras model hosted by TensorFlow Serving

tfrecord-viewer icon tfrecord-viewer

TFRecord Viewer for browsing contents of TFRecords with object detection/classification annotations.

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