Joao Santinha (JoaoSantinha)

JoaoSantinha

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Location:Lisbon

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Joao Santinha's starred repositories

generative-ai-for-beginners

18 Lessons, Get Started Building with Generative AI đź”— https://microsoft.github.io/generative-ai-for-beginners/

Language:Jupyter NotebookLicense:MITStargazers:57236Issues:488Issues:98

trl

Train transformer language models with reinforcement learning.

Language:PythonLicense:Apache-2.0Stargazers:8839Issues:76Issues:1007

OLMo

Modeling, training, eval, and inference code for OLMo

Language:PythonLicense:Apache-2.0Stargazers:4239Issues:42Issues:173

Torch-Pruning

[CVPR 2023] Towards Any Structural Pruning; LLMs / SAM / Diffusion / Transformers / YOLOv8 / CNNs

Language:PythonLicense:MITStargazers:2468Issues:34Issues:332

mixtral-offloading

Run Mixtral-8x7B models in Colab or consumer desktops

Language:PythonLicense:MITStargazers:2276Issues:30Issues:27

awesome-llm-interpretability

A curated list of Large Language Model (LLM) Interpretability resources.

SimpleITK

SimpleITK: a layer built on top of the Insight Toolkit (ITK), intended to simplify and facilitate ITK's use in rapid prototyping, education and interpreted languages.

Language:SWIGLicense:Apache-2.0Stargazers:861Issues:37Issues:667

dolma

Data and tools for generating and inspecting OLMo pre-training data.

Language:PythonLicense:Apache-2.0Stargazers:857Issues:17Issues:66

SimpleITK-Notebooks

Jupyter notebooks for learning how to use SimpleITK

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:817Issues:48Issues:75

SAM-Med3D

SAM-Med3D: An Efficient General-purpose Promptable Segmentation Model for 3D Volumetric Medical Image

Language:PythonLicense:Apache-2.0Stargazers:427Issues:5Issues:69

panoptic-segment-anything

Combining Segment Anything (SAM) with Grounded DINO for zero-shot object detection and CLIPSeg for zero-shot segmentation

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:355Issues:7Issues:5

PatientLevelPrediction

An R package for performing patient level prediction in an observational database in the OMOP Common Data Model.

segment-anything-medical-evaluation

Code for "Segment Anything Model for Medical Image Analysis: an Experimental Study" in Medical Image Analysis

Language:PythonLicense:Apache-2.0Stargazers:136Issues:4Issues:6
Language:Jupyter NotebookLicense:MITStargazers:75Issues:0Issues:3

awesome-dicom

A curated list of awesome DICOM resources and libraries.

Comp2Comp

Computed tomography to body composition (Comp2Comp).

Language:PythonLicense:Apache-2.0Stargazers:53Issues:5Issues:27
Language:Jupyter NotebookLicense:MITStargazers:30Issues:6Issues:0

saros-dataset

Sparsely Annotated Region and Organ Segmentation (SAROS) - A large, heterogeneous, and sparsely annotated segmentation dataset on CT imaging data

Language:PythonLicense:MITStargazers:28Issues:0Issues:0

ULS23

Repository for the Universal Lesion Segmentation Challenge '23

stambo

Statistical model comparison with bootstrap and beyond

Language:Jupyter NotebookLicense:MITStargazers:23Issues:3Issues:0
Language:PythonLicense:NOASSERTIONStargazers:21Issues:1Issues:5

orthanc-plugin-scripts

Collection of Orthanc Plugin scripts written in Python - adding miscellaneous functionality/utility

Language:PythonLicense:GPL-3.0Stargazers:11Issues:2Issues:0

histoannot

online histology annotation webapp

Language:JavaScriptLicense:GPL-3.0Stargazers:6Issues:1Issues:0
Language:PythonStargazers:4Issues:0Issues:0

FanCNN

Code accompanying the paper 'Automatic Coronary Artery Plaque Quantification and CAD-RADS Prediction using Mesh Priors' (IEEE-TMI)

Language:PythonLicense:GPL-3.0Stargazers:3Issues:0Issues:0

ResamplingRadiomics

Project code for The Effect of Image Resampling on the Performance of Radiomics-Based Artificial Intelligence in Multicenter Prostate MRI

Language:Jupyter NotebookLicense:GPL-3.0Stargazers:2Issues:0Issues:0

PID_multitask

Code and data for https://doi.org/10.48550/arXiv.2210.02996

Language:Jupyter NotebookLicense:MITStargazers:1Issues:0Issues:0

gpt-voice-chat

GPT-3.5-based voice chatbot that responds to spoken Portuguese prompts. Joana uses speech recognition and text-to-speech, powered by Python libraries OpenAI, SpeechRecognition, and pyttsx3.

Language:PythonStargazers:1Issues:0Issues:0