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Name: Aditya Saxena
Type: User
Name: Aditya Saxena
Type: User
Source code for Algorithmic Trading with Python (2020) by Chris Conlan
Applied Deep Learning Course
A complete computer science study plan to become a software engineer.
This repository contains the code for the assignments of the course on Data Structures and Algorithms
Assignments for the NLP course at IITD
This repository will contains all the assignments to be done for the completion of the course COL 774 at IIT, Delhi taken by Professor Parag Singla
Assignments for the Machine Learning Course at IIT Delhi
COL775 assignments, papers, resources
A compilation of competitive programming resources, curated by the Algorithms and Coding Club, IIT Delhi
This repository contains all the deep learning models that I have implemented while learning Tensorflow.
This repository contains implementations and illustrative code to accompany DeepMind publications
A curated list of practical financial machine learning tools and applications.
Collection of notebooks about quantitative finance, with interactive python code.
This repository contains the papers and documents that I had read while researching about Graph Neural Networks at IIT Delhi.
Machine Learning for Algorithmic Trading, Second Edition - published by Packt
Code for Machine Learning for Algorithmic Trading, 2nd edition.
A collection of machine learning examples and tutorials.
This repo contains the codes that I have written for CP and DSA problems
This repository contains NLP projects that I have created using data science.
Lecture video links for preparation of Placements
4-week long hackathon across 4 tracks App, Backend, Frontend and Machine Learning.
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
This repository contains the summary and implementation of the topics in Algorithmic Trading that I learned while participating in Summer of Quant'23
TensorFlow Tutorial and Examples for Beginners with Latest APIs
code and data for the time series analysis vids on my YouTube channel
This repository contains various statistical, machine learning, deep learning, industrial and unorthodox techniques which I have implemented while learning about Time Series Analysis.
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.