davidiommi Goto Github PK
Name: David Iommi
Type: User
Company: RSA Austria
Bio: Researcher at RSA Austria (Data Science and NLP group)
Location: Vienna
Name: David Iommi
Type: User
Company: RSA Austria
Bio: Researcher at RSA Austria (Data Science and NLP group)
Location: Vienna
Pytorch pipeline for 3D image domain translation using Cycle-Generative-Adversarial-networks, without paired examples.
3D-Unet: patched based Keras implementation for medical images segmentation
500 AI Machine learning Deep learning Computer vision NLP Projects with code
here you can find the material used for our Tutorials
Using python and neural networks, the goal of this project is to identify the genre of a painting from an image
:link: Some useful websites for programmers.
This Repository Contains Solution to the Assignments of the Natural Language Processing Specialization from Deeplearning.ai on Coursera Taught by Younes Bensouda Mourri, Łukasz Kaiser, Eddy Shyu
Here, we will be showcasing our seminar series “CPP for Image Processing and Machine Learning” including presentations and code examples. There are image processing and machine learning libraries out there which use C++ as a base and have become industry standards (ITK for medical imaging, OpenCV for computer vision and machine learning, Eigen for linear algebra, Shogun for machine learning). The documentation provided with these packages, though extensive, assume a certain level of experience with C++. Our tutorials are intended for those people who have basic understanding of medical image processing and machine learning but who are just starting to get their toes wet with C++ (and possibly have prior experience with Python or MATLAB). Here we will be focusing on how someone with a good theoretical background in image processing and machine learning can quickly prototype algorithms using CPP and extend them to create meaningful software packages.
Useful codes for LLMs and data science applications for work and research
Deep learning PyTorch library for time series forecasting
Synthetic Data Generation for mixed-type, multivariate time series.
Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
Script to preprocess the LongEval challenge data for annotation in Doctag
Generative AI with Large Language Models on Coursera offered by Deeplearning.AI and AWS.
Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website (https://dlg4nlp.github.io/index.html) for various learning resources!
The hands-on NLTK tutorial for NLP in Python
Neural information retrieval / semantic-search / Bi-Encoders
Overview and tutorial of the LangChain Library
A self-hosted, offline, ChatGPT-like chatbot. Powered by Llama 2. 100% private, with no data leaving your device. New: Code Llama support!
Chat with your documents on your local device using GPT models. No data leaves your device and 100% private.
[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
Code, exercises and tutorials of my personal blog ! 📝
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
The simplest, fastest repository for training/finetuning medium-sized GPTs.
List of github repositories with important/useful work materials
Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more
A hyperparameter optimization framework
PANDA pipeline, is a computational toolbox (MATLAB + python) for generating PET navigators using Generative Adversarial networks.
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.