2 Repos
Awesome GitHub RepositoriesModel Adaptation Tools
Utilities for retraining or fine-tuning pre-trained models on custom datasets.
Distinguishing note: None of the candidates were provided; this covers the standard procedure of classifier replacement and retraining.
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Awesome Model Adaptation Tools GitHub Repositories
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- huggingface/pytorch-image-models
huggingface/pytorch-image-models
36,893Auf GitHub ansehenThis project is a comprehensive library of state-of-the-art neural network architectures designed for image classification and feature extraction. It provides a complete deep learning training framework that supports distributed execution, allowing users to build, train, and fine-tune vision models using optimized schedulers and pre-configured training recipes. The library distinguishes itself through a modular backbone architecture that treats neural networks as decoupled feature extractors, enabling the retrieval of multi-scale outputs for downstream tasks like object detection and segmenta
Model fine-tuning adapts pre-trained models to custom datasets by replacing the final classifier layer and applying standard training procedures.
Pythonaugmixconvnextdistributed-training - google/mediapipe
google/mediapipe
35,673Auf GitHub ansehenMediaPipe is a cross-platform machine learning framework designed for building and deploying pipelines that process live and streaming media. It provides a system for connecting processing components into custom machine learning chains to analyze real-time audio and video streams. The framework includes a suite of pre-trained models for tasks such as hand, face, and pose tracking, along with tools for retraining and customizing these models with specific datasets. It also features a dedicated benchmarker for measuring the execution speed and accuracy of machine learning models directly within
Provides tools for customizing and retraining existing machine learning models with specific datasets.
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