Manas Jain's repositories

awesome-courses

:books: List of awesome university courses for learning Computer Science!

al-go-rithms

:musical_note: Algorithms written in different programming languages - https://zoranpandovski.github.io/al-go-rithms/

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Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! đŸ˜€)

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Automating-Parallel-Pipe-network

Problem statement - For given discharge (Q), we need to determine the distribution of flow across the ‘n’ parallel pipes

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coding-interview-university

A complete computer science study plan to become a software engineer.

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coursera-deep-learning

Solutions to all quiz and all the programming assignments!!!

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CS626_NLP

Assignments and course project

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deep-reinforcement-learning

Repo for the Deep Reinforcement Learning Nanodegree program

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examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

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learners-space

This repository contains all the content for these courses to be covered in Learner's Space -

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machine-learning-interview

Machine Learning Interviews from FAAG, Snapchat, LinkedIn.

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machine_learning_examples

A collection of machine learning examples and tutorials.

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manasjain26.github.io

https://manasjain26.github.io/

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mml-book.github.io

Companion webpage to the book "Mathematics For Machine Learning"

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MML-Companion

This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Faisal and Cheng Ong, written in python for Jupyter Notebook.

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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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R_BERT-on-custom-dataset

The codebase of my R&D project (Spring 2021) under the supervision of Prof Soumen Chakrabarty at IIT Bombay

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reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

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sentence-transformers

Sentence Embeddings with BERT & XLNet

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shala2020.github.io

Lectures and notes for a summer course on DS, ML, and AI

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Spring2018

Computer Vision Course at IITB, Spring 2018

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Spring2019

The Computer Vision Course at IITB (CS763), Spring 2019

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TensorFlow-Examples

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

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Turing.jl

Bayesian inference with probabilistic programming.

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