Stars
An open-source hyperspectral unmixing python package
a generalist algorithm for cellular segmentation with human-in-the-loop capabilities
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
[TPAMI 2025] UniMatch V2: Pushing the Limit of Semi-Supervised Semantic Segmentation
directorscut82 / FTXUI
Forked from ArthurSonzogni/FTXUI💻 C++ Functional Terminal User Interface. ❤️
A complete toolbox for spectral unmixing with spectral variability
Adapting Segment Anything Model for Medical Image Segmentation
scikit-activeml: Python library for active learning on top of scikit-learn
Powerful, open-source AI tools for digital pathology.
Synthesizing Graphics Programs for Scientific Figures and Sketches with TikZ
Software design principles for machine learning applications
Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.
This repository contains demos I made with the Transformers library by HuggingFace.
Repository for "Stochastic Segmentation with Conditional Categorical Diffusion Models" (ICCV 2023)
This repo contains the official implementation of ICCV 2023 paper "Keep It SimPool: Who Said Supervised Transformers Suffer from Attention Deficit?"
Efficient vision foundation models for high-resolution generation and perception.
Small finetuned LLMs for a diverse set of useful tasks
Images to inference with no labeling (use foundation models to train supervised models).
Interact with your documents using the power of GPT, 100% privately, no data leaks
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
Open-source developer platform to power your entire infra and turn scripts into webhooks, workflows and UIs. Fastest workflow engine (13x vs Airflow). Open-source alternative to Retool and Temporal.
📈 Adaptive: parallel active learning of mathematical functions
🎨 Imagine what Picasso could have done with AI. Self-host your StableDiffusion API.
Model interpretability and understanding for PyTorch
nannyml: post-deployment data science in python
Resource list for generating JSON using LLMs via function calling, tools, CFG. Libraries, Models, Notebooks, etc.
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools, with 10x faster training through evolutionary hyperparameter optimization.