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💫 About Me:

● Head of Research Team in Machine/Deep Learning.

● Machine Learning Researcher.

● SDR development.

I am Machine Learning researcher, and SDR (software-defined radio) development engineer.

I have a Bachelor of Science (B.Sc.) in Electrical Engineering specializing in signal processing and computers from AFEKA Tel Aviv Academic College of Engineering.

Now studying M.Sc. at BGU - Ben Gurion University in Electrical Engineering specializing in Signal Processing and Machine Learning.

SKILLS:

● Matlab and Simulink - Advanced knowledge (Signal processing, Deep Neural networks, Machine Learning Algorithms, App Designer, Automations, Data visualization)

● Python - Advanced knowledge (Signal processing, Deep Neural networks, Machine Learning Algorithms, preprocessing, and algorithms on a Raspberry Pi)

● Git - Git Bash, GitKraken, Sourcetree.

● SDR and RF signals.

● VHDL and FPGA (VIVADO software, ISE, ZEDBOARD, experience from Academic courses and projects)

● C and C++ - Extensive experience in Academic courses.

● Golang language - experience from projects on Linux systems.

● Quick to adapt and learn new skills.

● Team player with good social skills.

● Creative, Self-motivation, an Autodidact.

Languages and Tools:

python Pytorch Scikitlearn tensorflow linux matlab arduino Raspberry_Pi c cplusplus VHDL gitkraken

Contact me at [email protected]

Linkedin: https://www.linkedin.com/in/avishai-weizman/

Website: https://avishai111.github.io/Avishai.github.io/

avishai111's Projects

deep_openset_recognition_through_uncertainty icon deep_openset_recognition_through_uncertainty

PyTorch code for our paper: Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Generative Classifiers? https://arxiv.org/abs/1908.09625

ecapa-tdnn icon ecapa-tdnn

Unofficial reimplementation of ECAPA-TDNN for speaker recognition (EER=0.86 for Vox1_O when train only in Vox2)

entropic-out-of-distribution-detection icon entropic-out-of-distribution-detection

Add scalable state-of-the-art out-of-distribution detection (open set recognition) support to your project by changing two lines of code! Perform efficient inferences (i.e., do not increase inference time) and detect with a zero computational cost score without classification accuracy drop, hyperparameter tuning, or collecting additional data.

fairseq icon fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

fpga-adaptive-beamforming-and-radar-examples icon fpga-adaptive-beamforming-and-radar-examples

This repository contains FPGA/HDL demonstrations several beamforming and radar designs. Simulink models and MATLAB reference code are provided to showcase high-level simulation and HDL designs of various radar and array processing algorithms.

segment-anything icon segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

titanet icon titanet

Speaker identification/verification models for Machine Learning for Computer Vision class at UNIBO

world_cup_sim icon world_cup_sim

Repo to store my simulation of FIFA 2022 World Cup using Machine Learning

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