pytorch-retraining
by ahirner
Transfer Learning Shootout for PyTorch's model zoo (torchvision)
AI summary
Transfer Learning Benchmark
An experiment and benchmarking framework for evaluating the effectiveness of transfer learning in PyTorch-based deep learning models
- stars
- 170
- forks
- 41
- watching
- 10
Similar projects
Found by comparing what the projects do, not just their names.
Model trainer
A PyTorch model fitting library designed to simplify the process of training deep learning models.
Reinforcement Learning framework
Replication of Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks in PyTorch for reinforcement learning tasks
Neural net trainer
A PyTorch framework simplifying neural network training with automated boilerplate code and callback utilities
Deep learner
A PyTorch library for decentralized deep learning across the Internet.
Training framework
A PyTorch framework for managing and automating deep learning training loops with features like hyperparameter tracking and single-file deployments.
Deep learning project repository
Re-implementation of Coursera's Deep Learning specialization assignments in PyTorch
Deep learner
An implementation of a deep reinforcement learning network using PyTorch to learn human-level control through trial and error.
Computer Vision Toolkit
A PyTorch toolbox for supporting research and development of domain adaptation, generalization, and semi-supervised learning methods in computer vision.
Deep learning toolkit
A Python framework for building deep learning models with optimized encoding layers and batch normalization.
pytorch/tnt1.7K
PyTorch toolkit
A collection of tools and utilities for building and training neural networks with PyTorch.
Deep Learning Model
A deep learning model implementation of the DeepLab ResNet architecture for image segmentation tasks.
Deep learning models
Implementations of deep learning architectures using PyTorch for image classification tasks on various datasets.
Few-shot learning model
An implementation of the Learning to Compare paper in PyTorch
Meta learner
A PyTorch implementation of meta-learning using gradient descent to adapt to new tasks.
Model Trainer
A PyTorch-based model training framework designed to simplify and streamline training workflows by providing a unified interface for various loss functions, optimizers, and validation metrics.
