Salvatore Raieli's repositories
ML-news-of-the-week
A collection of the the best ML and AI news every week (research, news, resources)
awesome-kan
A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold Network field.
explanaibleAI
Collection of explainable methods and models
Yoga_position
Yoga position: a web app powered by deep learning model that identify yoga position from a photo
Automatic-Target-Dossier
Example of generated automatic target dossier with an LLM
free-programming-books
:books: Freely available programming books
pytorch-cnn-visualizations
Pytorch implementation of convolutional neural network visualization techniques
StreamStyle
Streamlite + neural style transfer
ALL-FastAI-2019
A series of Acute Lymphoblastic Leukemia CNNs programmed in Python using FastAI. Project by team member Salvatore Raieli.
ALL-FastAI-2020
A series of Acute Lymphoblastic Leukemia CNNs programmed in Python using FastAI. Project by team member Salvatore Raieli.
awesome-graph-classification
A collection of important graph embedding, classification and representation learning papers with implementations.
deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
ecco
Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models (like GPT2, BERT, RoBERTA, T5, and T0).
guiltytargets
Target prioritization using network representation learning
Modern-AI-Agents
Modern AI Agents
RAG-Survey
Collecting awesome papers of RAG for AIGC. We propose a taxonomy of RAG foundations, enhancements, and applications in paper "Retrieval-Augmented Generation for AI-Generated Content: A Survey".
Serial-NLP
A repository about NLP and tv series
vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch