David Iommi's repositories
Pytorch--3D-Medical-Images-Segmentation--SALMON
Segmentation deep learning ALgorithm based on MONai toolbox: single and multi-label segmentation software developed by QIMP team-Vienna.
Pytorch-Unet3D-single_channel
3D-Unet: patched based Pytorch implementation for medical images segmentation
MONAI_0_7_0
AI Toolkit for Healthcare Imaging. Copy of the official monai repository.
PytorchGeometricTutorial
Pytorch Geometric Tutorials
time-series-transformers-review
A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.
DocTag-Data-Preprocessing-LongEval
Script to preprocess the LongEval challenge data for annotation in Doctag
NLP-Repository-List
List of github repositories with important/useful work materials
500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
500 AI Machine learning Deep learning Computer vision NLP Projects with code
AdvancePyTorchGeometricTutorials
here you can find the material used for our Tutorials
Coursera-DeepLearning.AI-Natural-Language-Processing-Specialization
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
Generative_AI_LLMs
Generative AI with Large Language Models on Coursera offered by Deeplearning.AI and AWS.
graph4nlp
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!
hands-on-nltk-tutorial
The hands-on NLTK tutorial for NLP in Python
information-retrieval-2
Neural information retrieval / semantic-search / Bi-Encoders
llama-gpt
A self-hosted, offline, ChatGPT-like chatbot. Powered by Llama 2. 100% private, with no data leaving your device. New: Code Llama support!
localGPT
Chat with your documents on your local device using GPT models. No data leaves your device and 100% private.
LTSF-Linear
[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"
Machine-Learning-with-Python
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
ML-From-Scratch
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.
nanoGPT
The simplest, fastest repository for training/finetuning medium-sized GPTs.
NLP-with-Python
Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more
pyg_chemprop
A concise and easy-to-customize reimplementation of "ChemProp" (Yang et al, 2019) in PyTorch Geometric.
rake-nltk
Python implementation of the Rapid Automatic Keyword Extraction algorithm using NLTK.
teaching-IR
Open-Source Information Retrieval Courses @ TU Wien
Text-Mining-Course
Course Notes for Text Mining - Prof. Peter Organisciak
Transformers-for-NLP-2nd-Edition
Under the hood working of transformers, fine-tuning GPT-3 models, DeBERTa, vision models, and the start of Metaverse, using a variety of NLP platforms: Hugging Face, OpenAI API, Trax, and AllenNLP
unconditional-time-series-diffusion
Official PyTorch implementation of TSDiff models presented in the NeurIPS 2023 paper "Predict, Refine, Synthesize: Self-Guiding Diffusion Models for Probabilistic Time Series Forecasting"