Vijay Krishnan V's repositories
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
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
Innoplexus_online_hackathon_AI_Challenge_aug2018
This was a text mining hackathon. Had obtained 65th rank on Private leaderboard out of 1961 participants
MNIST_Digit_Recognizer
MNIST digit recognizer based on Fast AI
github-slideshow
A robot powered training repository :robot:
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.
split-folders
🗂 Split folders with files (i.e. images) into training, validation and test (dataset) folders
Text_classifier_pytorch
simple text classifier
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.