Name: Tarun Saini
Type: User
Company: @monkidea
Bio: Data science enthusiast specialized in Business Analysis, Data interpretation & facilitation of technology products & services. @monkidea #GoogleAppsScript #VBA
Location: India
Blog: https://monkidea.com
tap-zendesk-chat
A Singer.io tap to extract data from the Zendesk Chat API
tds_black_box_models_more_explainable
Jupyter Notebook used for writing the article "Black-Box models are actually more explainable than a Logistic Regression" published in Towards Data Science: https://towardsdatascience.com/black-box-models-are-actually-more-explainable-than-a-logistic-regression-f263c22795d
teachingjupyternotebooks
Training materials for the Open Science Workshop held in Nariobi
tensor-poet
Tensorflow jupyter-notebook for visualization of text-generation from multiple sources with deep LSTMs
tensor2robot
Distributed machine learning infrastructure for large-scale robotics research
tensorflow
Computation using data flow graphs for scalable machine learning
tensorflow-models
Models built with TensorFlow
tensorflow-safari-course
Exercises and solutions to accompany my Safari course introducing TensorFlow.
tensorflow2-generative-models
Implementations of a number of generative models in Tensorflow 2. GAN, VAE, Seq2Seq, VAEGAN, GAIA, Spectrogram Inversion. Everything is self contained in a jupyter notebook for easy export to colab.
tensorflow_tut_1_installation_and_first_progs
TensorFlow Tutorial 1: Installation and First TensorFlow Programs Walk-through
tensorflow_tut_2_classification_walk-through
TensorFlow Tutorial 2: Image Classification Walk-through
tensorflow_tut_3_object_detection_walk-through
TensorFlow Tutorial 3: Object Detection Walk-through
tensorwatch
Debugging, monitoring and visualization for Python Machine Learning and Data Science
test-gitrstudio
test
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-classification
Code examples and presentation slides from Machine Learning ID #2 Meetup - Yogyakarta
text-summarization
A basic from the scratch C++ & Python implementation of exhaustive & text rank methods of text summarization.
text-summarization-1
This is an extractive based text summarization.
text-summarization-2
Automagically generates summaries from html or text.
text-summarization-3
Automatic summarization is the process of shortening a text document with software, in order to create a summary with the major points of the original document. Technologies that can make a coherent summary take into account variables such as length, writing style and syntax.
text-summarization-tensorflow
Tensorflow seq2seq Implementation of Text Summarization.
text-summarizer
Understand Text Summarization and create your own summarizer in python
text-summarizer-1
Text Summarization Tool Using Python
text-summarizer-2
Text Summary tool - a project which was part of Artificial Intelligence course at BITS Pilani
text-summarizer-3
Text Summarizer implemented in PyTorch
text-summarizer-in-python-v1
This program summarize the given paragraph and summarize it. It is of two category such as summarize input text from the keyboard or summarize the text parsed by BeautifulSoup Parser.
text2vec
Contextual embedding for text blobs.
text_summarization
various ways to summarize text and for multiple languages using Python Library. Created on 13 Mar 2018
textrank
TextRank implementation for Python 3.
textsumma
reimplementing Neural Summarization by Extracting Sentences and Words
React
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
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
Django
The Web framework for perfectionists with deadlines.
Laravel
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.
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
Microsoft
Open source projects and samples from Microsoft.
Google
Google ❤️ Open Source for everyone.
Alibaba
Alibaba Open Source for everyone
D3
Data-Driven Documents codes.
Tencent
China tencent open source team.
