Jahan Ajani's starred repositories
freeCodeCamp
freeCodeCamp.org's open-source codebase and curriculum. Learn to code for free.
awesome-interview-questions
:octocat: A curated awesome list of lists of interview questions. Feel free to contribute! :mortar_board:
How-to-Make-a-Computer-Operating-System
How to Make a Computer Operating System in C++
mit-deep-learning
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
kubernetes-failure-stories
Compilation of public failure/horror stories related to Kubernetes
deep-learning-v2-pytorch
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Data-Analysis
Data Science Using Python
deep-learning-roadmap
:satellite: All You Need to Know About Deep Learning - A kick-starter
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.
Seeing-Theory
A visual introduction to probability and statistics.
django-hackathon-starter
A boilerplate for Django web applications
MLInterview
:octocat: A curated awesome list of AI Startups in India & Machine Learning Interview Guide. Feel free to contribute!
MathAndScienceNotes
Notes/links on math and science, including statistics, bayes, cmpsc, quant trading, machine learning, etc
awesome-microservice
A curated list of Microservice resources
RealTime-DigitRecognition
RealTime DigitRecognition using Convolutional Neural Network(CNN) with keras.
CudaTestEnv
Basic incomplete host based cuda api implementation use for testing my programming assignments for the Coursera "Heterogeneous Parallel Programming" class
spam-classifier-webserver
A Flask based production level web app which uses Naive Bayes classifier to predict given SMS is spam or ham. Also contains jupyter notebook with basic data exploration and ml modelling.