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A fast simulator and a library dedicated to the channel coding.
The user-space applications for our Atheros-CSI-Extraction-TOOL
BaseJump STL: A Standard Template Library for SystemVerilog
bladeRF-wiphy is an open-source IEEE 802.11 compatible software defined radio VHDL modem
A server for shipping channel state information obtained using the Atheros CSI Tool via UDP in real time.
Python CSI processing and visualisation tools for Atheros, Intel, Nexmon, ESP32, and PicoScenes (USRP, etc) formats.
A set of Deep Reinforcement Learning Agents implemented in Tensorflow.
Digital Hardware Modelling using VHDL, Verilog, SystemVerilog, SystemC, HLS(C++, OpenCL)
Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller
Simple C examples for Decawave DWM1001 hardware
Xilinx Embedded Software (embeddedsw) Development
My lecture notes for all semesters spent studying CS at EPFL. Enjoy the read and feel free to approach me for corrections.
A simple method to perform semi-supervised learning with limited data.
GoogleTest - Google Testing and Mocking Framework
IEEE 802.11 a/g/p Transceiver
Simple parser for extracting VHDL documentation
Matlab simulations of the encoder and decoder for the New Radio LDPC code from 3GPP Release 15
Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"
ML algorithms in depth
EPFL Machine Learning Course, Fall 2021
This repository contains the slides (in Powerpoint and PDF formats) for the course Multiple Antenna Communications, used 2021. Video recordings of all the slides (with voice over by Emil Björnson) can be found on YouTube.
Compilation of the different MATLAB codes that were used for the experimental part of the research work presented in the article "Next Generation 5G OFDM-Based Modulations for Intensity Modulation-Direct Detection (IM-DD) Optical Fronthauling".
A Pytorch implementation of Neural Network Compression (pruning, deep compression, channel pruning)
Explore the energy-efficient dataflow scheduling for neural networks.
EPFL Course - Optimization for Machine Learning - CS-439
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.