Transfer Learning Python Packages

tensorflow-hub

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

autogluon-core

Fast and Accurate ML in 3 Lines of Code

autogluon-features

Fast and Accurate ML in 3 Lines of Code

autogluon-tabular

Fast and Accurate ML in 3 Lines of Code

autogluon-common

Fast and Accurate ML in 3 Lines of Code

autogluon-timeseries

Fast and Accurate ML in 3 Lines of Code

autogluon

Fast and Accurate ML in 3 Lines of Code

autogluon-multimodal

Fast and Accurate ML in 3 Lines of Code

discrete-key-value-bottleneck-pytorch

Implementation of Discrete Key / Value Bottleneck, in Pytorch

autogluon-text

Fast and Accurate ML in 3 Lines of Code

autogluon-vision

Fast and Accurate ML in 3 Lines of Code

tf-hub-nightly

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

torchxrayvision

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

autogluon-extra

Fast and Accurate ML in 3 Lines of Code

autogluon-mxnet

Fast and Accurate ML in 3 Lines of Code

finetuning-scheduler

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

autogluon-eda

Fast and Accurate ML in 3 Lines of Code

sparsezoo

Neural network model repository for highly sparse and sparse-quantized models with matching sparsification recipes

otx

Build, train, optimize, and run computer vision models locally, from raw images to live inference. Open source, optimized for Intel XPU (CPU-only and CUDA also supported).

accelbrainbeat

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

farm

:house_with_garden: Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.

pytorch-adapt

Domain adaptation made easy. Fully featured, modular, and customizable.

finetuner

:dart: Task-oriented embedding tuning for BERT, CLIP, etc.

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.