sudarshansivakumar Goto Github PK

a-collection-of-great-ml-resources

This is a list of resources which have helped me understand various Machine Learning concepts. I hope to start from basic ideas like Linear Regression, Logistic Regression, etc. and move upto resources that cover more advanced topics like Neural Networks

ai4bharat_dataengtask

flipkart-text-classification

The given dataset has been scraped from the Flipkart Website, and consists of product descriptions and categories. The goal is to build a model which classified a given description into a particular category.

fundamental-nlp-tasks

Creating a repository for my practice with some fundamental NLP tasks. This would include tasks such as text classification, named entity recognition, dependency parsing,

github-slideshow

A robot powered training repository :robot:

google-10000-english

This repo contains a list of the 10,000 most common English words in order of frequency, as determined by n-gram frequency analysis of the Google's Trillion Word Corpus.

imdb-sentiment-classification

Using a training dataset of 25000 movie reviews labelled as positive or negative in sentiment, a bidirectional LSTM based model is trained to predict a given movie review as positive or negative

interview-prep

A list of questions that I will solve related to various data structures and algorithms related to technical interviews

itllab

mlpack

mlpack: a scalable C++ machine learning library --

sentence-vae

PyTorch Re-Implementation of "Generating Sentences from a Continuous Space" by Bowman et al 2015 https://arxiv.org/abs/1511.06349

squad_questionanswering

This is the code for a Question Answering System trained on the SQuAD dataset using the HuggingFace Transformers Library

sudarshansivakumar.github.io

the-avian-eye