Salvatore Raieli's Projects
Open source Artificial Intelligence for COVID-19 detection/early detection. Includes Convolutional Neural Networks (CNN) & Generative Adversarial Networks (GAN)
A series of Acute Lymphoblastic Leukemia CNNs programmed in Python using FastAI. Project by team member Salvatore Raieli.
A series of Acute Lymphoblastic Leukemia CNNs programmed in Python using FastAI. Project by team member Salvatore Raieli.
Classifiers created with various languages and frameworks, using Fabio Scotti's ALL-IDB (Acute Lymphoblastic Leukemia Image Database for Image Processing) dataset.
The Peter Moss Acute Myeloid/Lymphoblastic Leukemia classifiers are a collection of projects that use computer vision to classify Acute Myeloid/Lymphoblastic Leukemia in unseen images. The projects include classifiers made with Tensorflow, Caffe, Intel Movidius (NCS & NCS2), OpenVino and pure Python classifiers.
A collection of important graph embedding, classification and representation learning papers with implementations.
A CT-scan of your CNN
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
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).
Collection of explainable methods and models
:books: Freely available programming books
representation learning on attributed graphs
Target prioritization using network representation learning
Lesson at university and other course
A collection of the the best ML and AI news every week (research, news, resources)
Modern AI Agents
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
Pytorch implementation of convolutional neural network visualization techniques
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".
Sparse Attention Model
A repository about NLP and tv series
Streamlite + neural style transfer
Tutorials on machine learning, artificial intelligence, data science with math explanation and reusable code (in python and R)
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent