Amit Kumar Nayak's repositories
Math-for-Data-Science
Required math subjects for data science.
Amazon_Product_Recomendation
This project involved building recommendation systems for Amazon products. Popularity based model and Collaborative Filtering model were used and evaluated to recommend top-10 products.
anlp19
Course repo for Applied Natural Language Processing (Spring 2019)
articles
A repository for the source code, notebooks, data, files, and other assets used in the data science and machine learning articles on LearnDataSci
Artificial-Intelligence
Awesome AI Learning with +100 AI Cheat-Sheets, Free online Books, Top Courses, Best Videos and Lectures, Papers, Tutorials, +99 Researchers, Premium Websites, +121 Datasets, Conferences, Frameworks, Tools
Atlas
ATLAS is an open source software tool for researchers to conduct scientific analyses on standardized observational data
Awesome-CNN-Papers
CNN Papers.
awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
awesome-text-summarization
Text summarization starting from scratch.
Big-data-architecture
It is a big data architecture verification project
BigData-Ecosystem-Architecture
Life-cycle: Internal working of HDFS, SQOOP, HIVE, SPARK, HBASE, KAFKA with code.
Blockchain-Usecase
Collection of Blockchain Usecases by Industry
Chatbot-using-Python-NLTK-
This is the Chatbot made with NLTK in python with Term Frequency-Inverse Document Frequencyn(TF-IDF) and Cosine Similarity
CoreNLP
Stanford CoreNLP: A Java suite of core NLP tools.
datalake
a metadata-aware file archive
DeepLearningForNLPInPytorch
An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.
DeepLearningTutorials
Deep Learning Tutorial notes and code. See the wiki for more info.
ImageCompression
Lossy image compression using Singular Value Decomposition
lambda-arch
Applying the Lambda Architecture with Spark, Kafka, and Cassandra.
math-fundamentals-for-data-science-intro-course
📚 Math Fundamentals for Data Science – Intro Course
mit-deep-learning
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
NLP
This notebook will discuss concepts of NLP and related work.
nlp-in-python-tutorial
comparing stand up comedians using natural language processing
nlp-tutorial
Natural Language Processing Tutorial for Deep Learning Researchers
nlp_course
YSDA course in Natural Language Processing
Probability_And_Statistics_For_ML
This repository contains the basics Statistics and Probability used in Data Science.
pytorch-timeseries
PyTorch implementations of neural networks for timeseries classification
realworld
"The mother of all demo apps" — Exemplary fullstack Medium.com clone powered by React, Angular, Node, Django, and many more 🏅
rSVD
Randomized Matrix Decompositions using R