amit1nayak
Doing my research on MVL-Memory, Vision and Language. In the process of building human computer who has the conscious like human being..
Mars
Pinned Repositories
coursera-deep-learning-specialization
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
FDP-Lecture-PPT
Lectures PPT on Blockchain and Smart Contract Technology
forecasting
Time series modelling with sunspot data
GPT-App
The simplest, fastest repository for training/finetuning medium-sized GPTs.
GPT-from-scratch
Re-implementation of Andrej Karpathy's nanoGPT
GPT3_Beta
lime
Lime: Explaining the predictions of any machine learning classifier
Math-for-Data-Science
Required math subjects for data science.
pdfGPT
PDF GPT allows you to chat with the contents of your PDF file by using GPT capabilities. The only open source solution to turn your pdf files in a chatbot!
Skin-Cancer-Classification-using-Deep-Learning
Classify Skin cancer from the skin lesion images using Image classification. The dataset for the project is obtained from the Kaggle SIIM-ISIC-Melanoma-Classification competition.
amit1nayak's Repositories
amit1nayak/Math-for-Data-Science
Required math subjects for data science.
amit1nayak/Adult-Income-Analysis
Exploratory data analysis for the Adult or Census Income dataset from UCI Machine Learning Repository : https://archive.ics.uci.edu/ml/datasets/adult
amit1nayak/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.
amit1nayak/anlp19
Course repo for Applied Natural Language Processing (Spring 2019)
amit1nayak/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
amit1nayak/Awesome-CNN-Papers
CNN Papers.
amit1nayak/awesome-text-summarization
Text summarization starting from scratch.
amit1nayak/Big-Data-Architects-Handbook
Big Data Architect’s Handbook, published by Packt
amit1nayak/BigData-Ecosystem-Architecture
Life-cycle: Internal working of HDFS, SQOOP, HIVE, SPARK, HBASE, KAFKA with code.
amit1nayak/Chatbot-using-Python-NLTK-
This is the Chatbot made with NLTK in python with Term Frequency-Inverse Document Frequencyn(TF-IDF) and Cosine Similarity
amit1nayak/Compression_using_SVD
Using Singular Value Decomposition to perform Lossy Compression of Images
amit1nayak/CSVDataValidator
CSV Data Validator is a tool to validate csv file. It parse csv and validate the data with .hdr(csv meta data) before ingestion to Data Lake. It checks data file availability for every day load and validate data with respective meta data like File Size, Checksum, Delimiter, Record count etc. It ensure landed data conformity before give go ahead for data ingestion to Data Lake. It generate complete stats or error log.
amit1nayak/Data-Lake-for-Enterprises
Data Lakes for Enterprises, published by Packt
amit1nayak/Deep-Learning-with-Keras
Code repository for Deep Learning with Keras published by Packt
amit1nayak/DeepLearningPapers
An exhaustive list of CNN and RNN papers.
amit1nayak/DeepLearningTutorials
Deep Learning Tutorial notes and code. See the wiki for more info.
amit1nayak/geneticCNN
amit1nayak/Hands-On-Natural-Language-Processing-with-Python
This repository is for my students of Udemy. You can find all lecture codes along with mentioned files for reading in here. So, feel free to clone it and if you have any problem just raise a question.
amit1nayak/ImageCompression
Lossy image compression using Singular Value Decomposition
amit1nayak/inferential_stats_pycon
The code repository for the talk delivered on Inferential Statistics at SciPy India 2017
amit1nayak/ipl-eda-in-sql
Exploratory Analysis of IPL Data Using SQL
amit1nayak/lectures
Oxford Deep NLP 2017 course
amit1nayak/math-fundamentals-for-data-science-intro-course
📚 Math Fundamentals for Data Science – Intro Course
amit1nayak/nlp-in-python-tutorial
comparing stand up comedians using natural language processing
amit1nayak/Probability_And_Statistics_For_ML
This repository contains the basics Statistics and Probability used in Data Science.
amit1nayak/pytorch-timeseries
PyTorch implementations of neural networks for timeseries classification
amit1nayak/readings
A collection of some nice papers/research articles.
amit1nayak/rSVD
Randomized Matrix Decompositions using R
amit1nayak/startup-ideas
The Startup & Product Ideas course at Cornell Tech (TECH 5100)
amit1nayak/udemy-machine-learning-examples
LazyProgrammer Udemy Course Content