Jay Vinay's Projects
Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford, MIT, UC Berkeley.
leetcode.com , algoexpert.io solutions in python and swift
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AZ900
π€ Neural networks in JavaScript
Created with CodeSandbox
Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.
Machine learning-Stanford University
π‘This repository contains all of the lecture exercises of Machine Learning course by Andrew Ng, Stanford University @ Coursera. All are implemented by myself and in MATLAB/Octave.
Apps hosted in the Dash Gallery
Cheat Sheets
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Data Structure And Algorithmic Thinking With Python
Displays the Most famous datasets for better understanding of data
Datasets used in Plotly examples and documentation
Deep Learning Specialization by Andrew Ng on Coursera.
Material used for Deep Learning related workshops for Machine Learning Tokyo (MLT)
doodle guessing app using Flask, React, and Keras
ES2015 [ES6] cheatsheet containing tips, tricks, best practices and code snippets
explainerdashboard is a python package for generating analytical dashboards that explain the inner workings of so-called "blackbox" machine learning models.