michele-nazareth Goto Github PK
Name: Michele
Type: User
Name: Michele
Type: User
Predicting time series with a 2D convolution network
Code for our paper 'ActivMetal'
Extensive tutorials for the Advanced NLP Session in Open Data Science Conference Europe 2023. We will leverage deep transfer learning, notably transformers to solve popular tasks in NLP including Classification, Information Retrieval, Sentiment Analysis, Search Engines, Clustering, Paraphrase Mining, Summarization, Language Translation, Q&A systems
Algorithms for explaining machine learning models
Interactive Visualization to Build, Train and Test an Autoencoder with Tensorflow.js
Deep Learning examples with Keras.
A C++ Background Subtraction Library with wrappers for Python, MATLAB, Java and GUI on QT
Repository for my Big Data Optimization course
Porting the CodeGen Language Model to ONNX format.
Repository for my convex optimization course.
Python code used in NIPS 2017 paper: Fitting Low-Rank Tensors in Constant Time, by K. Hayashi and Y. Yoshida
Repository for all the tutorials and codes shared at cv-tricks.com
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Collection of experiments
A python 3 programme for compressing files
Implementation of Fisher's Linear Discriminant (LDA)
Efficient implementation of Generative Stochastic Networks
Python Implementaion of Huffman Coding - compression and decompression
Python Implementation of Huffman-Coding
Code presented at FISL (International Free Software Forum) teaching Huffman Encoding using Python
Implementation of archivator using Huffman coding (Python 3)
The world’s fastest framework for building websites.
Implementação de um compressor e um descompressor aplicado a texto em geral.
Low-Rank and Sparse Tools for Background Modeling and Subtraction in Videos
Anomaly Detection and Correlation library
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
Code and data for the second edition of the textbook `Machine Learning: An Algorithm Perspective" by Stephen Marsland.
Low-Rank Matrix Factorization for Recommender Systems
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.