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Name: bellur srikar
Type: User
Name: bellur srikar
Type: User
Capstone project for General Assembly
Tooling for GANs in TensorFlow
Repository contains source code, spectrogram and wavelet data for the implementation.
A script that checks for a better Global Entry enrollment appointment time
Python Script to download hundreds of images from 'Google Images'. It is a ready-to-run code!
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
A resource for learning about ML, DL, PyTorch and TensorFlow. Feedback always appreciated :)
A complete machine learning project in Python. Designed to show the machine learning workflow using a real-world data science problem.
Code for the Make Your Own Neural Network book
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Scripts/Notebooks used for my articles published on Medium
Identifying Melanoma in Lesion Images using Deep Learning; Done for Flatiron School Capstone Project
Test datasets for melodic analysis of Indian art music
Machine Learning From Scratch. Bare bones Python implementations of Machine Learning models and algorithms with a focus on transparency and accessibility. Aims to cover everything from Data Mining techniques to Deep Learning.
Tools for Machine Learning and Deep Learning
Pre-processing database using pre-written functions
Code samples for my book "Neural Networks and Deep Learning"
Optimizing artificial neural network parameters using the genetic algorithm for the classification of the Fruits360 dataset. The implementation is from scratch using NumPy.
Train and Deploy an NLP News Classifier Web App
A numpy-only implementation of a Convolutional Neural Network, from the ground up.
Implementation of artificial neural networks using NumPy in addition to extraction of features and classification of the Fruits360 image dataset
Colab (Jupyter) notebook to train Object Detection model with custom dataset, based on Fizyr implementation of RetinaNet in Keras.
R package to model Mixed Integer Linear Programs
Open Source Computer Vision Library
A package that brings R's beloved auto.arima to Python, making an even stronger case for why Python > R for data science.
Python interface for the SCIP Optimization Suite
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.