khanimar Goto Github PK
Name: Dr. Maryam Khanian
Type: User
Bio: Ph.D. in Artificial Intelligence, and Data Scientist.
Name: Dr. Maryam Khanian
Type: User
Bio: Ph.D. in Artificial Intelligence, and Data Scientist.
Public material for CS109
Codes related to activities on AV including articles, hackathons and discussions.
A PyTorch implementation of the Transformer model in "Attention is All You Need".
A topic-centric list of HQ open datasets in public domains. PR ☛☛☛
Reinforcement learning resources curated
The main idea of this report is to provide the useful insights from the given data as well as creating the best possible forecasting model for a marketing campaign for a new product and to predict the probabilities of completion.
Caffe: a fast open framework for deep learning.
Code and pre-trained models for my submission to the ChaLearn 2021 LAP challenge.
Inferring and Executing Programs for Visual Reasoning
Easy benchmarking of all public open-source implementations of convnets
A language-agnostic interface to TensorBoard
Public facing notes page
General Assembly's Data Science course in Washington, DC
Deep Filter Banks for Texture Recognition, Description and Segmentation (CVPR15)
A nonprofit community run, 5-day Deep Learning Bootcamp
An application of stacked denoising autoencoders to multi-modal (images and audio) abstract feature discovery
Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).
A toolkit for making real world machine learning and data analysis applications in C++
Many examples of many features of many software packages
Examples of C extensions for PyTorch
Feedforward style transfer
Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.
Fast and Efficient C++ implementation of the Fast Marching (FM) integrator for non-convex domains
The problem that this project is going to anlyze is heart attack. The final objectives of this project is to use the provided data to perform the following tasks: Performing EDA to obtain useful primary insights Using the provided set of input features and their corresponding labels to predict the likelihood of a potential heart attack in each sample. In other words, the problem is to provide a binary classifier that is able to predict if a person is prone to a heart attack or not.
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.