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✅ Curated list of resources for college students
Advanced Deep Learning with Keras, published by Packt
Implementing a momentum trading strategy and testing its profitability. For Udacity's AI for Trading Nanodegree.
Using the Zerodha KiteConnect API platform to build an algorithmic market/exchange trading program template.
Python client for Alpaca's trade API
A Java application that replays events that are stored in objects in Amazon S3 into a Amazon Kinesis stream as if they occurred in real time.
Anomaly detection related books, papers, videos, and toolboxes
Applied Deep Learning
Cool links & research papers related to Machine Learning applied to source code (MLonCode)
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
Machine Learning University: Accelerated Tabular Data Class
A solutions that automatically configures the AWS services necessary to easily capture, store, process, and deliver streaming data. This solution helps you solve for real-time streaming use cases like capturing high volume application logs, analyzing clickstream data, continuously delivering to a data lake, and more.
Developer Cheatsheets
📊 Source code of the main website
Multiprocessing brute-force script written in Python 3
Notes and courses on Computer Science, Data Structures, Algorithms, and other "CS" items.
Data Science Assignments for the course Stats 780/CSE 780 on Winter 2019 McMaster University.
A collection of scripts and examples created while answering questions from the greater Dash community
An index of all open-source data
Cheat Sheets
This repository contains my implementation of the algorithms described in the book "Data Science From Scratch" by Joel Grus. Please scroll down for description of each file.
A library for data warehouse and data integration pattern and architecture documentation.
DataCamp Project Solutions
These are my notes which I prepared during deep learning specialization taught by AI guru Andrew NG. I have used diagrams and code snippets from the code whenever needed but following The Honor Code.
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
Deep Learning tutorials in jupyter notebooks.
Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions
A supporting respository for "What Can Electrochemistry Learn From Chess"
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.