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Discover 1,001 open source projects
Showing 221-240 of 1,001 projects
vahidk/EffectiveTensorflow
Comprehensive TensorFlow tutorials and best practices for deep learning and machine learning developers.
Ewenwan/MVision
A comprehensive computer vision and robotics library for tasks like SLAM, object detection, and more.
MITDeepLearning/introtodeeplearning
Lab materials for an introductory course on deep learning from MIT, covering computer vision, music generation, and more.
bentoml/BentoML
BentoML is an easy-to-use framework for building and deploying production-ready machine learning models as APIs.
OptimalScale/LMFlow
An extensible toolkit for finetuning and inference of large language models, enabling 'large models for all'.
YaoFANGUK/video-subtitle-extractor
A Python tool for extracting hard-coded subtitles from videos and generating SRT files using deep learning-based OCR.
tensorflow/tfjs-core
A WebGL-accelerated JavaScript library for machine learning and deep learning on the web.
netease-youdao/EmotiVoice
EmotiVoice is a multi-voice and prompt-controlled TTS engine built with PyTorch for developers working with AI voice tools.
facebookarchive/caffe2
Caffe2 is a lightweight, scalable deep learning framework for building and deploying AI models.
google/trax
Trax is a deep learning library that provides clear code and fast performance for building AI models.
CVHub520/X-AnyLabeling
Effortless data labeling with AI support from Segment Anything and other powerful models.
mikel-brostrom/boxmot
A powerful multi-object tracking library with modular SOTA tracking modules for segmentation, detection, and pose estimation.
shenweichen/DeepCTR
A modular and extendible Python package for deep learning-based click-through rate prediction models.
Project-MONAI/MONAI
An open-source AI toolkit for medical imaging and healthcare applications built on PyTorch.
alirezadir/Machine-Learning-Interviews
A guide for preparing for technical interviews in machine learning and AI topics.
deeplearning-ai/machine-learning-yearning-cn
A Chinese translation of Machine Learning Yearning, a book by Andrew Ng on best practices for machine learning projects.
jaywalnut310/vits
A PyTorch-based text-to-speech model that generates high-quality speech with expressive prosody.
mrdbourke/machine-learning-roadmap
A comprehensive roadmap for learning essential machine learning concepts and tools.
stanfordnlp/stanza
A powerful Python NLP library for tokenization, sentence segmentation, named entity recognition, and parsing of many languages.
Kulbear/deep-learning-coursera
A deep learning course by Andrew Ng on Coursera, focused on core deep learning concepts and techniques.
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