Showing 321-340 of 1,001 projects
A flexible, modular PyTorch library for deep metric learning and embeddings, useful for vibe coders building AI-powered apps.
TensorFlow documentation repository with code examples and tutorials for deep learning and machine learning.
A high-performance, flexible neural network training interface on TensorFlow for deep learning researchers and engineers.
A Python library that uses computer vision and machine learning to detect when a 'boss' is approaching and hides the screen.
An open-source data format for building high-performance multimodal AI applications with fast random access, vector indexing, and data versioning.
Aim is an open-source experiment tracker that makes it easy to track and visualize machine learning experiments.
A comprehensive collection of resources for AI algorithm job seekers, including interview prep, coding challenges, and company lists.
A state-of-the-art deep learning library for time series and sequence modeling in PyTorch/fastai.
A Python library for building and experimenting with audio processing and machine learning models.
A JavaScript repository that provides countdown timers for AI conference deadlines, useful for vibe coders.
A powerful system for quickly generating high-quality training data with weak supervision for AI/ML projects.
OpenCV wrapper for .NET, providing a native bindings interface for computer vision tasks.
A flexible, high-performance deep learning framework for Python that runs on GPUs.
An open-source toolkit for computer vision tasks, supporting a wide range of deep learning models and applications.
Gorgonia is a Go library that helps facilitate machine learning and deep learning development.
A Python library for machine learning security, providing tools for adversarial attacks and defenses.
A production-ready multi-agent orchestration framework for building AI-powered applications and workflows.
RF-DETR is a SOTA real-time object detection and segmentation model architecture designed for fine-tuning.
A comprehensive collection of resources to learn the essential mathematics for machine learning.
A foundation model for tabular data that enables advanced machine learning on structured datasets.
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