#python #automl #computer_vision #data_science #deep_learning #distributed_computing #ensemble_learning #gluon #image_classification #machine_learning #mxnet #natural_language_processing #object_detection #pytorch #structured_data #transfer_learning
https://github.com/awslabs/autogluon
https://github.com/awslabs/autogluon
GitHub
GitHub - autogluon/autogluon: Fast and Accurate ML in 3 Lines of Code
Fast and Accurate ML in 3 Lines of Code. Contribute to autogluon/autogluon development by creating an account on GitHub.
#python #convolutional_neural_networks #deep_learning #imagenet #jax #pytorch #tensorflow2 #transfer_learning
https://github.com/google-research/big_transfer
https://github.com/google-research/big_transfer
GitHub
GitHub - google-research/big_transfer: Official repository for the "Big Transfer (BiT): General Visual Representation Learning"…
Official repository for the "Big Transfer (BiT): General Visual Representation Learning" paper. - google-research/big_transfer
#python #bert #knowledge_distillation #nlp_applications #transfer_learning
https://github.com/alibaba/EasyTransfer
https://github.com/alibaba/EasyTransfer
GitHub
GitHub - alibaba/EasyTransfer: EasyTransfer is designed to make the development of transfer learning in NLP applications easier.
EasyTransfer is designed to make the development of transfer learning in NLP applications easier. - GitHub - alibaba/EasyTransfer: EasyTransfer is designed to make the development of transfer learn...
#python #ai #bert #dpr #elasticsearch #information_retrieval #language_model #machine_learning #natural_language_processing #neural_search #nlp #pytorch #question_answering #search_engine #semantic_search #squad #summarization #transfer_learning #transformers
https://github.com/deepset-ai/haystack
https://github.com/deepset-ai/haystack
GitHub
GitHub - deepset-ai/haystack: AI orchestration framework to build customizable, production-ready LLM applications. Connect components…
AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data...
#jupyter_notebook #computer_vision #deep_learning #image_classification #imagenet #neural_network #object_detection #pretrained_models #pretrained_weights #pytorch #semantic_segmentation #transfer_learning
https://github.com/Deci-AI/super-gradients
https://github.com/Deci-AI/super-gradients
GitHub
GitHub - Deci-AI/super-gradients: Easily train or fine-tune SOTA computer vision models with one open source training library.…
Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS. - Deci-AI/super-gradients
#python #deep_learning #domain_adaptation #domain_adaption #domain_generalization #few_shot #few_shot_learning #generalization #machine_learning #meta_learning #paper #papers #representation_learning #self_supervised_learning #style_transfer #survey #theory #transfer_learning #transferlearning #tutorial_code #unsupervised_learning
https://github.com/jindongwang/transferlearning
https://github.com/jindongwang/transferlearning
GitHub
GitHub - jindongwang/transferlearning: Transfer learning / domain adaptation / domain generalization / multi-task learning etc.…
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习 - jindongwang/transferlearning
#python #autogluon #automated_machine_learning #automl #computer_vision #data_science #deep_learning #ensemble_learning #forecasting #gluon #hyperparameter_optimization #machine_learning #natural_language_processing #object_detection #python #pytorch #scikit_learn #structured_data #tabular_data #time_series #transfer_learning
AutoGluon makes machine learning easy and fast. With just a few lines of code, you can train and use high-accuracy models for images, text, time series, and tabular data. This means you can quickly build and deploy powerful machine learning models without needing to write a lot of code. It supports Python 3.8 to 3.11 and works on Linux, MacOS, and Windows, making it convenient for various users. This saves time and effort, allowing you to focus on other parts of your project.
https://github.com/autogluon/autogluon
AutoGluon makes machine learning easy and fast. With just a few lines of code, you can train and use high-accuracy models for images, text, time series, and tabular data. This means you can quickly build and deploy powerful machine learning models without needing to write a lot of code. It supports Python 3.8 to 3.11 and works on Linux, MacOS, and Windows, making it convenient for various users. This saves time and effort, allowing you to focus on other parts of your project.
https://github.com/autogluon/autogluon
GitHub
GitHub - autogluon/autogluon: Fast and Accurate ML in 3 Lines of Code
Fast and Accurate ML in 3 Lines of Code. Contribute to autogluon/autogluon development by creating an account on GitHub.