Name: ChanR Analytics
Type: Organization
Bio: ChanR Analytics is social enterprise which works on designing products in various fields and providing educational services for learning data science.
Location: Inland Empire, California
ChanR Analytics's Projects
Public facing notes page
AimBot to aim and shoot the targets in games automatically using Machine Learning.
BioInformatics
moDel Agnostic Language for Exploration and eXplanation
This is the code for "Decentralized AI" by Siraj Raval
A PaddlePaddle implementation of DeepSpeech2 architecture for ASR.
Audio fingerprinting and recognition in Python
Challenges in Data Science for ChanR Analytics interns.
A django based web application built on the concept similar to online shopping website
🚀 The easiest way to automate building and releasing your iOS and Android apps
Code for the paper "Language Models are Unsupervised Multitask Learners"
This repository contains small projects related to Neural Networks and Deep Learning in general. Subject are closely linekd with articles I publish on Medium. I encourage you both to read as well as to check how the code works in the action.
This is the code for "Kaggle Challenge (LIVE)" by Siraj Raval on Youtube
klib is an easy to use Python library of customized functions for cleaning and analyzing data.
This is the Curriculum for "Learn Deep Learning in 6 Weeks" by Siraj Raval on Youtube
We develop the UI/UX in React Native based on some certain design from scratch.
Useful Python scripts to handle logistical situations in ChanR.
References about Machine Learning and Data Science discrimination, bias, ethics.
a general-purpose computer algebra system
Source code for 'MATLAB Deep Learning' by Phil Kim
Snorkel MeTaL: A framework for training models with multi-task weak supervision
Demo project to show how Machine Learn Models are deployed on production using Flask API
Minimal and clean examples of machine learning algorithms implementations
Open Machine Learning Course
A Javascript Membrane implementation using Proxies to observe mutation on an object graph