Prashant K. Sharma (prashantksharma)

prashantksharma

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Company:@biomy-tech

Location:Tokyo, Japn

Home Page:http://prashantksharma.com

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Prashant K. Sharma's starred repositories

Virgilio

Your new Mentor for Data Science E-Learning.

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Complete-Python-3-Bootcamp

Course Files for Complete Python 3 Bootcamp Course on Udemy

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xai_nlp

NLP-based explainable AI

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AutoGBT

AutoGBT is used for AutoML in a lifelong machine learning setting to classify large volume high cardinality data streams under concept-drift. AutoGBT was developed by a joint team ('autodidact.ai') from Flytxt, Indian Institute of Technology Delhi and CSIR-CEERI as a part of NIPS 2018 AutoML for Lifelong Machine Learning Challenge.

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NLP-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

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deep-painterly-harmonization

Code and data for paper "Deep Painterly Harmonization": https://arxiv.org/abs/1804.03189

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crf

Simple implementation of Conditional Random Fields (CRF) in Python. A faster, more powerful, Cython implementation is available in the vocrf project https://github.com/timvieira/vocrf

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pytorch-cnn-visualizations

Pytorch implementation of convolutional neural network visualization techniques

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the-gan-zoo

A list of all named GANs!

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distiller

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller

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ldaworkshop

LDA workshop presented by Fast Forward Labs

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probabilistic-programming-from-scratch

Notebook version of an article on the Fast Forward Labs blog

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awesome-deep-learning-papers

The most cited deep learning papers

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lime_explainer

Based on an example about LIME by Christoph Molnar (@christophM) in his book Interpretable Machine Learning.

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ganhacks

starter from "How to Train a GAN?" at NIPS2016

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optillusion-animation

Python code to submit rotated images to the Cloud Vision API + R code for visualizing it

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awesome-deep-vision

A curated list of deep learning resources for computer vision

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awesome-rnn

Recurrent Neural Network - A curated list of resources dedicated to RNN

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text_classification

all kinds of text classification models and more with deep learning

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darkon

Toolkit to Hack Your Deep Learning Models

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elisp-guide

A quick guide to Emacs Lisp programming

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PlotNeuralNet

Latex code for making neural networks diagrams

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mml-book.github.io

Companion webpage to the book "Mathematics For Machine Learning"

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tldr

📚 Collaborative cheatsheets for console commands

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notable

The Markdown-based note-taking app that doesn't suck.

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newspaper

newspaper3k is a news, full-text, and article metadata extraction in Python 3. Advanced docs:

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python-goose

Html Content / Article Extractor, web scrapping lib in Python

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git-flight-rules

Flight rules for git

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awesome-distributed-systems

A curated list to learn about distributed systems

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awesome-HAI

A curated list of awesome Human-AI Interaction

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