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a-gan-approach-for-zero-shot-learning-from-noisy-text-implementation

al-go-rithms

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

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! 😀)

automating-parallel-pipe-network

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

awesome-courses

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

codeinquarantine

coding-interview-university

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

coursera-deep-learning

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

cs626_nlp

Assignments and course project

cs769-2021-course-project

deep-reinforcement-learning

Repo for the Deep Reinforcement Learning Nanodegree program

deep_learning

Deep Learning Specialization

deeplearning.ai-assignments

ds303-2021-intro-to-ml

examples

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

learners-space

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

lectures

Oxford Deep NLP 2017 course

machine-learning-interview

Machine Learning Interviews from FAAG, Snapchat, LinkedIn.

machine_learning_examples

A collection of machine learning examples and tutorials.

manasjain26.github.io

https://manasjain26.github.io/

mml-book.github.io

Companion webpage to the book "Mathematics For Machine Learning"

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.

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.

pinecone-examples

r_bert-on-custom-dataset

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

reinforcement-learning

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

sentence-transformers

Sentence Embeddings with BERT & XLNet

shala2020.github.io

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

spring2018

Computer Vision Course at IITB, Spring 2018

spring2019

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