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Name: Alex Pasquali
Type: User
Company: Tesla
Bio: ML Engineer @ Tesla - Ex Alfa Romeo F1 Team (Sauber)
Location: Berlin
Name: Alex Pasquali
Type: User
Company: Tesla
Bio: ML Engineer @ Tesla - Ex Alfa Romeo F1 Team (Sauber)
Location: Berlin
Pytorch implementation of various autoencoders (contractive, denoising, convolutional, randomized)
Caffe-to-Keras weight converter. Can also export weights as Numpy arrays for further processing.
Assignments for the course of Computational Neuroscience @ Unipi
Lightweight flow-level simulator for inter-node network and service coordination (e.g., in cloud/edge computing or NFV).
Reinforcement Learning tool for Network Slice Placement problems
Analysis of the spending behaviour of customers in an online shopping website
Collection of oral questions and exam material
Assignments of the course of Human Language Technologies @ Unipi
A software to manage an intensive care system. Initially created as a project for "Software Engineering" course at UniVR
Assignments for the course of Intelligent Systems for Pattern Recognition @ University of Pisa
Keras - Caffe converter (both directions) with pruning demos in Keras. Originally developed as BSc thesis project @ University of Verona
๐Collection of useful repositories
An educational 32-bit linux-like Operating System.
Exercises for the course of Machine Learning in Crowd Modelling and Simulation @ TUM
Prediction of Pedestrian Speed with Artificial Neural Networks
OpenMMLab's next-generation platform for general 3D object detection.
Given a Keras model and the input data shape, the project will calculate a lower limit for the memory usage of the model.
Implementation from scratch of fully connected neural networks trainable through SGD with backpropagation
Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)
Prioritized Experience Replay implementation with proportional prioritization
Tutorial/demo for simple signal and image processing with Matlab
Exercises of the course of Parallel and Distributed Systems: Paradigms and Models @ Unipi
Project for the course Parallel & Distributed Systems: Paradigms & Models @ Unipi
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code
Survey and presentation about Sum-Product Networks (SPNs)
Project for "Operating Systems" course at Unviversity of Verona
NEW - YOLOv8 ๐ in PyTorch > ONNX > OpenVINO > CoreML > TFLite
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ 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. ๐๐๐
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 โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.