Showing 881-900 of 7,695 projects
A simultaneous speech-to-text model powered by the Whisper AI library for real-time transcription.
High-resolution 3D human digitization from a single image using a deep learning model.
End-to-end speech processing toolkit for tasks like speech recognition, synthesis, translation, and more.
A high-performance distributed file system designed for AI workloads like training and inference.
LaMa is a PyTorch-based library for high-resolution image inpainting using Fourier convolutions.
A Python library for outlier and anomaly detection, integrating classical and deep learning techniques.
A PyTorch-based reference implementation and models for the DINOv3 self-supervised vision transformer.
Amphion is a toolkit for Audio, Music, and Speech Generation to support reproducible research.
An AI-powered tool for removing hard-coded subtitles and text-like watermarks from videos or pictures, with no need for third-party APIs.
KrillinAI is a video translation and dubbing tool powered by LLMs, offering 100 language translations and one-click deployment.
Open source real-time translation app for Android that runs locally using AI models.
U^2-Net is a deep learning-based salient object detection library for Python that can be used for image processing and background removal.
The ultimate toolkit for finetuning diffusion models, a key component of AI-powered coding tools.
An open-source semantic segmentation toolbox and benchmark for computer vision tasks.
A PyTorch implementation of the Transformer model, a popular deep learning architecture for natural language processing.
This is a Python script that provides an automated assistant for the video game Honkai: Star Rail.
A high-level deep learning library for TensorFlow, enabling developers to build complex neural networks with ease.
A curated list of reinforcement learning resources for developers interested in this field of AI.
Continuously updated machine learning and deep learning notes and demos by a dedicated researcher.
A unified framework for machine learning with time series in Python, focused on forecasting, anomaly detection, and more.
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