Showing 3021-3040 of 3,069 projects
A library for explaining the decisions made by Vision Transformers, a type of AI model used for computer vision tasks.
Official implementation of a CVPR'25 oral paper on motion-controllable video diffusion models using real-time warped noise.
Official repository for the Uni-Mol Series Methods, a deep learning-based molecular modeling library.
A Python GUI tool for offline transcription of speech recordings, including speaker diarization, using state-of-the-art machine learning models.
Self-paced training course to learn the Akka.NET actor framework for building highly concurrent, distributed applications in C#.
An open-source Python library that helps curate better data for large language models (LLMs).
A series of math-focused large language models for AI-powered coding and analysis
Automatic verification of LLVM optimizations using symbolic execution and model checking
A general representation model for cross-modal learning across vision, audio, and language.
Official PyTorch code for extracting features and training downstream models with emotion2vec: Self-Supervised Pre-Training for Speech Emotion Representation.
An open-source Chinese medical multimodal model that can summarize chest radiographs.
A low-code development platform for creating systems, with a focus on vibe coders and AI tools.
A Python library for less-is-more reasoning with large language models, focused on the COLM 2025 conference.
A transformer model that can handle unlimited length input for AI coding tools and applications.
A PyTorch implementation of the TernausNet model for image segmentation, pre-trained on the Kaggle Carvana dataset.
A PyTorch implementation of Prototypical Networks for Few-Shot Learning, a powerful technique for training AI models on small datasets.
Code for a model that learns to summarize text from human feedback, useful for AI-powered summarization.
A fast Rust implementation of the LLaMA2 language model decoder for AI coding tools.
RAGChecker is a fine-grained framework for diagnosing RAG (Retrieval-Augmented Generation) models.
VideoX is a collection of video cross-modal models for developers working with AI-powered video tools.
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