kruthikakr Goto Github PK
Name: kruthika kr
Type: User
Bio: Research Scholar
Location: Bangalore
Name: kruthika kr
Type: User
Bio: Research Scholar
Location: Bangalore
3D Deep Learning works
Implementing different types of Activation function from scratch using python.
Alzheimer's Disease Prediction by using ResNet, AlexNet
Advanced Deep Learning with Keras, published by Packt
An attempt to diagnose Alzheimer's disease earlier
Applied Machine Learning @ http://amitkaps.com/ml
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! π)
Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning
A curated list of automated deep learning (including neural architecture search and hyper-parameter optimization) resources.
A curated list of awesome computer vision resources
An awesome Data Science repository to learn and apply for real world problems.
A curated list of awesome Deep Learning tutorials, projects and communities.
The most cited deep learning papers
A curated list of resources for Document Understanding (DU) topic
Reading list for research topics in multimodal machine learning
Recent Advances in Programming Language Pre-Trained Models (PL-PTMs)
Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas
A topic-centric list of HQ open datasets.
A curated list of awesome resources related to Semantic Searchπ and Semantic Similarity tasks.
Self-Supervision for Named Entity Disambiguation at the Tail
Code for bug triage with HAN
A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".
This is a reimplementation of CheXNet using Python3 and Keras. CheXNet, is a 121-layer convolutional neural network that inputs a chest X-ray image and outputs the probability of pneumonia along with a heatmap localizing the areas of the image most indicative of pneumonia.
Convolutional Neural Networks - Stanford CS231n Course by Andrej Karpathy and Serena Yeung
3D image classification using CNN (Convolutional Neural Network)
A Code-First Introduction to NLP course
Collection of useful data science topics along with code and articles
Recently updated with 50 new notebooks! 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.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
π 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. πππ
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 β€οΈ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.