rachmadvwp Goto Github PK
Name: rachmad
Type: User
Company: TU Wien & NYU Abu Dhabi
Bio: Research Associate
Location: Wien, AT & Abu Dhabi, UAE
Name: rachmad
Type: User
Company: TU Wien & NYU Abu Dhabi
Bio: Research Associate
Location: Wien, AT & Abu Dhabi, UAE
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
A Framework for Accelerating the Adversarial Training of Deep Neural Networks through Accuracy Gradient
Repository for the tools and non-commercial data used for the "Accelerator wall" paper.
Fast and flexible AutoML with learning guarantees.
Fast Emulation of Approximate DNN Accelerators in PyTorch
A list of ICs and IPs for AI, Machine Learning and Deep Learning.
IBM Analog Hardware Acceleration Kit
Brainchip Akida Neuromorphic System-on-Chip examples and documentation.
[ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices
[ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices
Analog AI Neural Architecture Search (analog-nas) is a modular and flexible framework to facilitate implementation of Analog-aware Neural Architecture Search.
This is a project for the proposed Homeostasis-based ANN-to-SNN conversion for Inception and Residual architecture.
PyTorch implementation of various methods for continual learning (XdG, EWC, online EWC, SI, LwF, GR, GR+distill, RtF, ER, A-GEM, iCaRL).
ANNETTE - Accurate Neural Network Execution Time Estimation
[CVPR 2020] APQ: Joint Search for Network Architecture, Pruning and Quantization Policy
Ares: A framework for quantifying the resilience of deep neural networks
Offical implementation of "Inherent Redundancy in Spiking Neural Networks" (ICCV2023)
Offical implementation of "Attention Spiking Neural Networks" (IEEE T-PAMI2023)
Auryn: A fast simulator for spiking neural networks with synaptic plasticity
Automated deep learning algorithms implemented in PyTorch.
Official code of "AutoSNN: Towards Energy-Efficient Spiking Neural Networks," ICML22
Avalanche: a End-to-End Library for Continual Learning
Awesome Incremental 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.