Name: Arunkumar Venkataramanan
Type: User
Company: @Deep-Brainz, Tech Founder and Product Leader
Bio: Tech Product Manager and Architect | Serial Entrepreneur, AI Innovator, Founder, CEO, Chief Technologist, Product Leader at @Deep-Brainz AI and Stealth Startup
Twitter: arunkumar_bvr
Location: Bangalore, India
10-steps-to-become-a-data-scientist
📢 Ready to learn!✅ you will learn 10 skills as data scientist:📚 Machine Learning, Deep Learning, Data Cleaning, EDA, Learn Python, Learn python packages such as Numpy, Pandas, Seaborn, Matplotlib, Plotly, Tensorfolw, Theano...., Linear Algebra, Big Data, Analysis Tools and solve some real problems such as predict house prices.🔖
100-days-of-code
Fork this template for the 100 days journal - to keep yourself accountable
100-days-of-ml-code
100 Days of ML Coding
100-nlp-papers
100 Must-Read NLP Papers
100_days_of_ml_code
These are the instructions for "100 Days of ML Code" By Siraj Raval on Youtube
2015
Public material for CS109
2018dsb
2018 Data Science Bowl 2nd Place Solution
30-days-of-python
For the next 30 days, learn the Python Programming language.
30-seconds-of-code
Curated collection of useful JavaScript snippets that you can understand in 30 seconds or less.
30-seconds-of-interviews
A curated collection of common interview questions to help you prepare for your next interview.
33-js-concepts
📜 33 concepts every JavaScript developer should know.
4th-place-home-credit-default-risk
Codes and dashboards for 4th place solution for Kaggle's Home Credit Default Risk competition
5th_place_solution_facebook_check_ins
My solution rank 5th/1212 in Facebook check ins prediction competition at Kaggle
60_days_rl_challenge
Learn Deep Reinforcement Learning in Depth in 60 days
a-to-z-resources-for-students
Curated list of resources for college students :octocat: Show your :heart: by giving a :star:
academicpages.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
adanet
Fast and flexible AutoML with learning guarantees.
adsb2
Second Annual Data Science Bowl
advanced-deep-learning-and-reinforcement-learning-deepmind
🎮 Advanced Deep Learning and Reinforcement Learning at UCL & DeepMind | YouTube videos 👉
adversarial
Code and hyperparameters for the paper "Generative Adversarial Networks"
adversarial-robustness-toolbox
This is a library dedicated to adversarial machine learning. Its purpose is to allow rapid crafting and analysis of attacks and defense methods for machine learning models. The Adversarial Robustness Toolbox provides an implementation for many state-of-the-art methods for attacking and defending classifiers. https://developer.ibm.com/code/open/projects/adversarial-robustness-toolbox/
adversarialnetspapers
The classical papers and codes about generative adversarial nets
aerosolve
A machine learning package built for humans.
agents
Efficient Batched Reinforcement Learning in TensorFlow
ai-chatbot
A full-featured, hackable Next.js AI chatbot built by Vercel Labs
ai-lab
All-in-one AI container for rapid prototyping
aif360
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
ailab
Experience, Learn and Code the latest breakthrough innovations with Microsoft AI
aima-python
Automatically exported from code.google.com/p/aima-python
aima-python-1
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
React
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
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
Django
The Web framework for perfectionists with deadlines.
Laravel
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.
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
Microsoft
Open source projects and samples from Microsoft.
Google
Google ❤️ Open Source for everyone.
Alibaba
Alibaba Open Source for everyone
D3
Data-Driven Documents codes.
Tencent
China tencent open source team.
