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A curated collection of must-read papers for Data Science, Machine Learning, and Deep Learning enthusiasts
A simple local voice assistant powered by Whisper and large language models.
A GitHub repository for Owl, a OCaml Scientific Computing framework
A Python library for training deep learning models on OpenStreetMap data and satellite imagery.
A tool for converting TensorFlow models to the CoreML format for deployment on Apple devices.
StackNet is a scalable meta-modeling framework for building high-performance predictive models.
Collaborative hybrid assignments training for DETRs, a novel object detection model.
Official PyTorch implementation of a framework for learning to adapt models at test time.
Visual Blocks for ML is a no-code graph editor for creating ML pipelines using drag-and-drop components.
An interactive tool for generating customizable human images with flexible garment, pose, and scene control for virtual dressing.
Zero-shot image restoration using a denoising diffusion model that can remove various types of noise and artifacts.
A TypeScript library that provides a cheap API to access ChatGPT 4o, GPT-5, and Claude-4 models
An open-source authorization library for access control models like ACL, RBAC, and ABAC in PHP.
A library for using ONNX, an open format for machine learning models, with the TensorFlow deep learning framework.
An extension for Auto1111 Stable Diffusion webui that adds text-to-video diffusion models like ModelScope or VideoCrafter.
A fast offline inference version of the Segment Anything Model (SAM) for PyTorch developers.
A library for implementing hyperparameter optimization methods for machine learning and deep learning models.
A Python library that provides a live plot of training loss for Keras and PyTorch models in Jupyter Notebooks.
The Simple Agent Development Kit for building AI-powered software agents and bots.
A highly accurate natural language detection library for Go, suitable for short text and mixed-language text.
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