-
Stanford University
- Palo Alto, California
- https://ale9806.github.io/alejandro/
Highlights
- Pro
Stars
Code for tutorial on cancer modeling with discrete event simulation
Add vLLM provider plugin for LangExtract
A Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization.
A Toolkit for scraping articles/research from Nature.com
Open source implementation of "Vision Transformers Need Registers"
🚀 Lightning-fast computer vision models. Fine-tune SOTA models with just a few lines of code. Ready for cloud ☁️ and edge 📱 deployment.
All-in-one training for vision models (YOLO, ViTs, RT-DETR, DINOv3): pretraining, fine-tuning, distillation.
Must-read Papers on Large Language Model (LLM) Continual Learning
Repo for our work "Systematic Evaluation of Large Vision-Language Models for Surgical Artificial Intelligence"
GPU & Accelerator process monitoring for AMD, Apple, Huawei, Intel, NVIDIA and Qualcomm
A high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch.
[CVPR 2025] MicroVQA eval and 🤖RefineBot code for "MicroVQA: A Multimodal Reasoning Benchmark for Microscopy-Based Scientific Research" code for MicroVQA benchmark and RefineBot method, fom
The official code for "Towards Generalist Foundation Model for Radiology by Leveraging Web-scale 2D&3D Medical Data".
[CVPR 2025] Custom Open CLIP repo to train biomedical CLIP models
[CVPR 2025] BIOMEDICA: An Open Biomedical Image-Caption Archive, Dataset, and Vision-Language Models Derived from Scientific Literature
A playbook for systematically maximizing the performance of deep learning models.
A Vision-Language Benchmark for Microscopy Understanding
Learning cell communication from spatial graphs of cells
Command-line program to download image galleries and collections from several image hosting sites
Reproducing the experiments of the DestVI paper
Deep Learning Inferred Multiplex ImmunoFluorescence for IHC Image Quantification (https://deepliif.org) [Nature Machine Intelligence'22, CVPR'22, MICCAI'23, Histopathology'23, MICCAI'24]