rishiganeshv Goto Github PK
Type: User
Company: SRIB
Location: Bangalore
Type: User
Company: SRIB
Location: Bangalore
lecture notes of "Matrix Methods in Data Analysis, Signal Processing, and Machine Learning"
color recognition (convolutional neural network implemented in Keras)
:art: Color recognition both on a webcam stream in real-time, on video and on a single image using K-Nearest Neighbors Machine Learning classification algorithm is trained with Color Histogram Features.
Notes and code for Algorithms I
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
Cracking the Coding Interview 6th Ed. Python Solutions
Interactive data analytics
This repo contains the updated version of all the assignments/labs (done by me) of Deep Learning Specialization on Coursera by Andrew Ng. It includes building various deep learning models from scratch and implementing them for object detection, facial recognition, autonomous driving, neural machine translation, trigger word detection, etc.
Experimental form data extraction for journalism
A tensorflow implementation of EAST text detector
GloVe model for distributed word representation
Useful tools and scripts related to Mapillary
Using LSTMs and GANs to Generate Music from MIDI Files (APM Fall 2018)
Real-Time Multiple Color Detection through WebCam
Use Python and NLTK to build out your own text classifiers and solve common NLP problems
Natural Language Processing using Tensorflow
Natural_Language_Processing_Code
NLP Search and Text Analytics/Visualizations on PDF Documents
Python based pdf to excel converter
Multiple and Large PDF Documents Text Extraction.
Framework based on latent factor model and metric learning technique to predict fit of different catalog sizes of clothing products so as to recommend appropriately sized products to customers.
Simple yet powerful automation stuffs.
Deep Learning (with PyTorch)
PyTorch Tutorials from my YouTube channel
Hybrid Quantum-Classical Machine Learning in TensorFlow
SBMF is a MCMC Gibbs sampling algorithm for MF having linear time complexity wrt the target rank and linear space complexity wrt the number of non-zero observations
Scalable Variational Bayesian inference algorithm for FM is developed which converges faster than the existing state-of-the-art MCMC based inference algorithm. Additionally, a stochastic variational Bayesian algorithm for FM is introduced for large scale learning which utilizes SGD.
Books Papers, Courses & more I have to learn soon
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.