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a-first-course-on-deep-learning-notes

Disclaimer: This is the detailed notes for PadhAI onefourthlabs course “A First Course on Deep Learning".

anlp

Contains demo codes for the course Applied Natural Language Processing

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

data-version-control

fast-bert

Super easy library for BERT based NLP models

fastai_v1

Initial dev of v1 of fastai

game-of-deep-learning-analytics-vidhya

This was part of the hackathon organized by AV. Scored 0.858 in private leaderboard. This is a good score considering many of top rank holders had used FastAI. I wanted to strengthen my knowledge of deep learning, hence used basic approach using Pytorch

github-slideshow

A robot powered training repository :robot:

innoplexus_online_hackathon_ai_challenge_aug2018

This was a text mining hackathon. Had obtained 65th rank on Private leaderboard out of 1961 participants

machine-learning-with-python

Python code for common Machine Learning Algorithms

mask-rcnn.pytorch

A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.

mnist_digit_recognizer

MNIST digit recognizer based on Fast AI

practice-problem-identify-the-apparels

split-folders

🗂 Split folders with files (i.e. images) into training, validation and test (dataset) folders

text_classifier_pytorch

simple text classifier

whats-cooking

word2vec

This tool provides an efficient implementation of the continuous bag-of-words and skip-gram architectures for computing vector representations of words. These representations can be subsequently used in many natural language processing applications and for further research.