Showing 281-300 of 1,591 projects
ModelScope is an open-source AI framework that brings the notion of Model-as-a-Service to life, providing a comprehensive suite of tools for building, deploying, and managing AI models.
A guide to deploying deep-learning inference networks and computer vision primitives with NVIDIA Jetson hardware and TensorRT.
A comprehensive collection of study materials for deep learning interviews, covering various topics like machine learning, computer vision, and NLP.
Comprehensive TensorFlow tutorials and best practices for deep learning and machine learning developers.
A comprehensive computer vision and robotics library for tasks like SLAM, object detection, and more.
A local, offline-first AI research and report writing assistant for developers building with AI tools.
Lab materials for an introductory course on deep learning from MIT, covering computer vision, music generation, and more.
BentoML is an easy-to-use framework for building and deploying production-ready machine learning models as APIs.
An extensible toolkit for finetuning and inference of large language models, enabling 'large models for all'.
A Python tool for extracting hard-coded subtitles from videos and generating SRT files using deep learning-based OCR.
A WebGL-accelerated JavaScript library for machine learning and deep learning on the web.
EmotiVoice is a multi-voice and prompt-controlled TTS engine built with PyTorch for developers working with AI voice tools.
A comprehensive collection of machine learning and deep learning resources for developers.
Caffe2 is a lightweight, scalable deep learning framework for building and deploying AI models.
A deep learning-based Chinese speech recognition system for developers working on AI-powered speech applications.
A collection of Python libraries to optimize AI model performance, with a focus on large language models and deep learning.
Trax is a deep learning library that provides clear code and fast performance for building AI models.
Effortless data labeling with AI support from Segment Anything and other powerful models.
A PyTorch implementation of the EfficientNet deep learning model for image classification and feature extraction.
Pytorch implementation of convolutional neural network visualization techniques for deep learning practitioners.
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