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Name: Yeshwanth Venkatesha
Type: User
Company: Yale University
Bio: Graduate Student at Intelligent Computing Lab - Yale
Location: New Haven
Name: Yeshwanth Venkatesha
Type: User
Company: Yale University
Bio: Graduate Student at Intelligent Computing Lab - Yale
Location: New Haven
The QuantifyMe platform helps researchers conduct single-case experiments in an automated and scientific manner.
Simulation of spiking neural networks (SNNs) using PyTorch.
Open source version of the Build in Progress Android app
An open source version of the Build in Progress project documentation platform
PyTorch implementation of various methods for continual learning (XdG, EWC, online EWC, SI, LwF, DGR, DGR+distill, RtF, iCaRL).
DDD20 End-to-End Event Camera Driving Dataset
Deep Compression on AlexNet
[ICLR 2018] Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training
Repo for the Deep Learning Nanodegree Foundations program.
TensorFlow implementation of Deep Reinforcement Learning papers
Tensorflow based implementation of deep siamese LSTM network to capture phrase/sentence similarity using character/word embeddings
A TensorFlow implementation of "DeepChess: End-to-End Deep Neural Network for Automatic Learning in Chess"
PyTorch Implementation of Deep Chess: https://arxiv.org/abs/1711.09667
A set of Deep Reinforcement Learning Agents implemented in Tensorflow.
Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning
TensorFlow Code for paper "Efficient Neural Architecture Search via Parameter Sharing"
Programming Assignments for Fall 2020
A collection of Google research projects related to Federated Learning and Federated Analytics.
Federated Learning - PyTorch
Source code for the paper "Federated Learning with Spiking Neural Networks".
This is an official Tensorflow-2 implementation of Federated Continual Learning with Inter-Client Weighted Transfer
Flood-Filling Networks for instance segmentation in 3d volumes.
Code for Federated Neuromorphic Learning of Spiking Neural Networks for Low-Power Edge Intelligence
The official code repository for examples in the O'Reilly book 'Generative Deep Learning'
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.