Pinned Repositories
100-Days-of-NLP
100-nlp-papers
100 Must-Read NLP Papers
Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! 😀)
Complete-Python-3-Bootcamp
Course Files for Complete Python 3 Bootcamp Course on Udemy
computervision-recipes
Best Practices, code samples, and documentation for Computer Vision.
Coursera-edX-projects
This is a repo of some of the assignments/projects done in requirement of completing the MOOCs offering from Coursera/edX
Data-Analysis
Data Science Using Python
data-mining
Lecture slides and quizzes for Leskovec, Rajaraman, and Ullman's "Mining of Massive Datasets" Stanford course
Data-Science--Cheat-Sheet
Cheat Sheets
R-Programming-Assignment-3
R-Programming Project 3
nishantsbi's Repositories
nishantsbi/Complete-Python-3-Bootcamp
Course Files for Complete Python 3 Bootcamp Course on Udemy
nishantsbi/Data-Science-Projects
Repository for several data science and analysis projects
nishantsbi/Deep-learning-with-Python
Deep learning codes and projects using Python
nishantsbi/machine-learning-1
nishantsbi/Alzheimers_Disease_Analysis
This repo contains a data science project to identify patients at high-risk of Alzheimer's disease.
nishantsbi/anlp
Contains demo codes for the course Applied Natural Language Processing
nishantsbi/Deep-Learning-For-Hackers
Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection)
nishantsbi/deep_transfer_learning_nlp_dhs2019
Contains the code and deck for the presentation on Applying Deep Transfer Learning for NLP in Analytics Vidhya's DataHack Summit 2019
nishantsbi/defect_classifier
nishantsbi/eli5
A library for debugging/inspecting machine learning classifiers and explaining their predictions
nishantsbi/Financial-Models-Numerical-Methods
Collection of notebooks about quantitative finance, with interactive python code.
nishantsbi/forecastLM
Forecasting with Linear Regression Methods
nishantsbi/MIScnn
A framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning
nishantsbi/MPST-Movie-Plot-Synopsis
A dataset of movie plot synopses with story related tags
nishantsbi/netron
Visualizer for neural network, deep learning and machine learning models
nishantsbi/NLP-fake-news-detection
nishantsbi/NLP-Models-Tensorflow
Gathers machine learning and Tensorflow deep learning models for NLP problems
nishantsbi/nlp-recipes
Natural Language Processing Best Practices & Examples
nishantsbi/prediction_confidence_intervals_demo
A shiny app demonstrating the differences between confidence intervals and prediction intervals
nishantsbi/pyforest
Lazy-import of all popular Python Data Science libraries
nishantsbi/PyImageSearch-CV-DL-CrashCourse
Repository for PyImageSearch Crash Course on Computer Vision and Deep Learning
nishantsbi/stanford-cs-221-artificial-intelligence
VIP cheatsheets for Stanford's CS 221 Artificial Intelligence
nishantsbi/StockMarketLongTermForecast
Forecasting the S&P 500 ten years into the future using a variety of models
nishantsbi/stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
nishantsbi/Stocks
Programs for stock prediction and evaluation
nishantsbi/text-classification-small-datasets
Building a text classifier with extremely small datasets
nishantsbi/text-to-text-transfer-transformer
Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"
nishantsbi/ts_cci30
nishantsbi/Vehicle-Counting
Video-based vehicle counting system built with Python/OpenCV.
nishantsbi/YOLO-Object-Counting-API
The code of the Object Counting API, implemented with the YOLO algorithm and with the SORT algorithm