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Transfer Learning Python Packages

Python packages with the GitHub topic transfer-learning. Sorted by relevance, with stars and monthly downloads.
tensorflow
tensorflow-hub

A library for transfer learning by reusing parts of TensorFlow models.

2M 4K 2K
autogluon
autogluon-tabular

Fast and Accurate ML in 3 Lines of Code

1.2M 10K 1K
autogluon
autogluon-core

Fast and Accurate ML in 3 Lines of Code

1.2M 10K 1K
autogluon
autogluon-features

Fast and Accurate ML in 3 Lines of Code

1.1M 10K 1K
autogluon
autogluon-common

Fast and Accurate ML in 3 Lines of Code

1.1M 10K 1K
autogluon
autogluon-timeseries

Fast and Accurate ML in 3 Lines of Code

512K 10K 1K
autogluon
autogluon

Fast and Accurate ML in 3 Lines of Code

504K 10K 1K
autogluon
autogluon-multimodal

Fast and Accurate ML in 3 Lines of Code

447K 10K 1K
autogluon
autogluon-vision

Fast and Accurate ML in 3 Lines of Code

95K 10K 1K
mlmed
torchxrayvision

TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.

85K 1K 249
autogluon
autogluon-text

Fast and Accurate ML in 3 Lines of Code

71K 10K 1K
tensorflow
tf-hub-nightly

A library for transfer learning by reusing parts of TensorFlow models.

55K 4K 2K
awslabs
autogluon-extra

Fast and Accurate ML in 3 Lines of Code

29K 10K 1K
awslabs
autogluon-mxnet

Fast and Accurate ML in 3 Lines of Code

29K 10K 1K
OPHoperHPO
carvekit

✂️ Automated high-quality background removal framework for an image using neural networks. ✂️

12K 2K 282
autogluon
autogluon-eda

AutoML for Image, Text, and Tabular Data

8K 10K 1K
lucidrains
discrete-key-value-bottleneck-pytorch

Implementation of Discrete Key / Value Bottleneck, in Pytorch

6K 88 3
densechen
activations

AReLU: Attention-based-Rectified-Linear-Unit

5K 62 8
yannvgn
laserembeddings

LASER multilingual sentence embeddings as a pip package

5K 225 29
skblaz
autobotlib

AutoBOT: Explainable AutoML for texts

3K 11 4
sraashis
easytorch

EasyTorch is a research-oriented pytorch prototyping framework with a straightforward learning curve. It is highly robust and contains almost everything needed to perform any state-of-the-art experiments.

3K 31 6
speediedan
finetuning-scheduler

A PyTorch Lightning extension that accelerates and enhances foundation model experimentation with flexible fine-tuning schedules.

3K 69 8
adapt-python
adapt

Awesome Domain Adaptation Python Toolbox

3K 371 55
OPHoperHPO
carvekit-colab

✂️ Automated high-quality background removal framework for an image using neural networks. ✂️

3K 2K 282
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