Stable Diffusion web UI
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We write your reusable computer vision tools. 💜
Making large AI models cheaper, faster and more accessible
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
pix2tex: Using a ViT to convert images of equations into LaTeX code.
RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RNN and transformer - great performance, linear time, constant space (no kv-cache), fast training, infinite ctx_len, and free sentence embedding.
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
Fast and Accurate ML in 3 Lines of Code
Scalable and user friendly neural :brain: forecasting algorithms.
PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry. Create meaningful quantum algorithms, from inspiration to implementation.
Interpretability and explainability of data and machine learning models
A deep learning toolkit for healthcare AI: EHR (MIMIC, eICU, OMOP), clinical text, signals and imaging. 30+ models, reproducible pipelines.
Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
gradslam is an open source differentiable dense SLAM library for PyTorch
Code for "Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks", Gupta et al, CVPR 2018
The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter spaces. Design steps in your pipeline like components. Compatible with Scikit-Learn, TensorFlow, and most other libraries, frameworks and MLOps environments.
Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.
Deep and Machine Learning for Microscopy
The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).
A simple, flexible, and extensible template for PyTorch. It's beautiful.
Free Course : Data, Machine Learning, Deep Learning and AI Engineering, the long way round: the math, the code, the systems and the security. 173 lessons, 166 runnable labs, no shortcuts. Free under CC BY-NC 4.0.
Modular, fast NLP framework, compatible with Pytorch and spaCy, offering tailored support for French clinical notes.