Manish Choudhary (Deepstatsanalysis)

Deepstatsanalysis

Geek Repo

Location:Bangalore

Home Page:http://mnchoudhary.blogspot.in/

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Manish Choudhary's starred repositories

DeOldify

A Deep Learning based project for colorizing and restoring old images (and video!)

License:MITStargazers:1Issues:0Issues:0
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tdml-example

Companion exercise to my WIP book "Clean Machine Learning Code"

License:Apache-2.0Stargazers:1Issues:0Issues:0

Advanced-Natural-Language-Processing-with-TensorFlow-2

Advanced Natural Language Processing with TensorFlow 2, published by Packt

License:MITStargazers:1Issues:0Issues:0
Language:Jupyter NotebookStargazers:14Issues:0Issues:0

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

License:MITStargazers:1Issues:0Issues:0

stat453-deep-learning-ss20

STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2020)

License:MITStargazers:1Issues:0Issues:0

stat479-machine-learning-fs19

Course material for STAT 479: Machine Learning (FS 2019) taught by Sebastian Raschka at University Wisconsin-Madison

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deployment-heroku

Deployment Heroku

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ML_algos_from_scratch

A collection of various machine learning algorithms written from scratch for classification,regression and clustering and dimensionality reductions

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rdkit_tutorials

rdKit basics (provided jupyter notebooks are custom curated and will help the users to start working on rdKit)

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Predicting-Adverse-Drug-Reactions-with-Machine-Learning

The objective of this work is to develop machine learning (ML) methods that can accurately predict adverse drug reactions (ADRs) using the databases SIDER and OFFSIDES.

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virtual-screening

Performs Virtual Screening using Autodock Vina

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predicting-activity-by-machine-learning

Activity From Virtual Screening Code Repository

License:Apache-2.0Stargazers:1Issues:0Issues:0

awesome-capsule-networks

A curated list of awesome resources related to capsule networks

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leetcode

Algorithm questions and implementations on LeetCode

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Algorithms-and-Coding-Interviews

Open source content from a book in progress, Hands-on Algorithmic Problem Solving

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deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

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Vaccine-target-for-2019-nCoV

In silico identification of vaccine targets for 2019-nCoV

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Data-Science-Interview-Resources

A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.

License:MITStargazers:1Issues:0Issues:0

Algorithms

:computer: Data Structures and Algorithms in Python

License:WTFPLStargazers:1Issues:0Issues:0

xeus-cling

Jupyter kernel for the C++ programming language

License:BSD-3-ClauseStargazers:1Issues:0Issues:0
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Deep-Learning-Papers-Reading-Roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

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3d-photo-inpainting

[CVPR 2020] 3D Photography using Context-aware Layered Depth Inpainting

License:NOASSERTIONStargazers:1Issues:0Issues:0

video-classification

Master Project @ Hasso-Plattner-Institute. Video classification with deep convolutional networks

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CapsNet-Tensorflow

A Tensorflow implementation of CapsNet(Capsules Net) in paper Dynamic Routing Between Capsules

License:Apache-2.0Stargazers:1Issues:0Issues:0

SCAN-tensorflow

A Tensorflow implementation of DeepMind's Symbol-Concept Association Network(SCAN: Learning Abstract Hierarchical Compositional Visual Concepts)

License:Apache-2.0Stargazers:1Issues:0Issues:0

flask-restful-swagger

A Swagger spec extractor for flask-restful

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