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Name: Suryadeep Tiwari
Type: User
Company: GALE
Bio: Data Scientist,Working with cool algorithms on not so cool data-set to make them cooler..!!
Location: Toronto, Canada
Name: Suryadeep Tiwari
Type: User
Company: GALE
Bio: Data Scientist,Working with cool algorithms on not so cool data-set to make them cooler..!!
Location: Toronto, Canada
🧑🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Consist of Competitive Programming Code for Arrays || Strings || Mathematics || DP
The art of effective visualization of multi-dimensional data
A curated list of awesome Deep Learning tutorials, projects and communities.
To identify and extract features from URL that help classify URLs into benign/phishing and train an ML model with these features for classification.
Analysis of SQL Leetcode and classic interview questions. Common pitfalls, anti-patterns and handy tricks are discussed. Sample databases are provided.
Hotel In Mars
Based on applicant's historical academic marks predict placement
Stack Overflow assistant and chit-chat bot for Telegram
Coursera := How To Win a Kaggle competition
This repository consists ML projects on Cyber Security Domain.
General Assembly's Data Science course in Washington, DC
Data Analysis Using Python
Cheat Sheets
Data Science Tutorials
Codes associated to DS and Algo
Isolation of Deep-Fake Videos
Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018
Book about interpretable machine learning
Contains documents for Interview Preprations
Coursera Intro-to-dl
Jupyter metapackage for installation, docs and chat
This is the code for "Learn Machine Learning in 3 Months" by Siraj Raval on Youtube
LeetCodeS Solutions
This repo contains all my Machine Leaning Notebooks used in different Meetups/Conferences/Talks etc
Coursera NLP
Extensive tutorials for the Advanced NLP Workshop in Open Data Science Conference Europe 2020. We will leverage machine learning, deep learning and deep transfer learning to learn and solve popular tasks using NLP including NER, Classification, Recommendation \ Information Retrieval, Summarization, Classification, Language Translation, Q&A and Topic Models.
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.