pankajmehar Goto Github PK
Name: PankajMehar
Type: User
Company: Nsemble AI
Bio: Let's bring Data Science magic in traditional industry
Twitter: pankaj02mehar
Location: Nagpur
Name: PankajMehar
Type: User
Company: Nsemble AI
Bio: Let's bring Data Science magic in traditional industry
Twitter: pankaj02mehar
Location: Nagpur
Simple tutorials using Google's TensorFlow Framework
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This project demonstrates how to run and save predictions locally using exported tensorflow estimator model
A crash course in six episodes for software developers who want to become machine learning practitioners.
Simple Tensorflow 2.x Cookbook for easy-to-use
💥 Tensorflow2.x Examples from basic to hard
Tensorflow chatbot demo by @Sirajology on Youtube
Code for Tensorflow Machine Learning Cookbook
different ways and usage of save and restore trained models using tensorflow
Code for TF tutorials (CS20SI and CS224N)
TensorRT YOLOv4, YOLOv3, SSD, MTCNN, and GoogLeNet
🦄 Record your terminal and generate animated gif images or share a web player
DH Computational Text Analysis Workshop Materials
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 mainly based on ctpn model in tensorflow, id card detect, connectionist text proposal network
Text summarization algorithm for the Capstone Project at Springboard code bootcamp
Tensorflow seq2seq Implementation of Text Summarization.
Easily generate document/paragraph/sentence vectors and calculate similarity.
Implementation of a seq2seq model for summarization of textual data. Demonstrated on amazon reviews, github issues and news articles.
Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.
Methods about Deep Learning for Text Matching
A synthetic data generator for text recognition
Contains my explorations of TensorFlow 2.x
Interpretability Methods for tf.keras models with Tensorflow 2.x
A tutorial exploring multiple approaches to deploy a trained TensorFlow (or Keras) model or multiple models for prediction.
Personal experiment on DL models implemented on TF.
TensorFlow Script
Deployment of TensorFlow models into production with TensorFlow Serving, Docker, Kubernetes and Microsoft Azure
Sample Angular application for dog breed detection, where target Keras model hosted by TensorFlow Serving
TFRecord Viewer for browsing contents of TFRecords with object detection/classification annotations.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.