[PR #2730] [CLOSED] ML/DL/NLP libraries added #11072

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2026-04-24T05:56:32-05:00

GiteaMirror commented

2026-04-24 05:56:32 -05:00

📋 Pull Request Information

Original PR: https://github.com/vinta/awesome-python/pull/2730
Author: @sahillihas
Created: 7/4/2025
Status: ❌ Closed

Base: master ← Head: master

📝 Commits (1)

ced697a ML/DL/NLP libraries added

📊 Changes

1 file changed (+101 additions, -89 deletions)

View changed files

📝 README.md (+101 -89)

📄 Description

Added essential libraries under Machine Learning, Deep Learning, and NLP categories to reflect widely adopted tools in modern ML/DL workflows.

Machine Learning

lightgbm – Fast, distributed, high-performance gradient boosting.
catboost – High-performance gradient boosting on decision trees.
optuna – Automatic hyperparameter optimization framework.
mlflow – End-to-end platform for managing the ML lifecycle.

Deep Learning

transformers – State-of-the-art NLP models by Hugging Face.
diffusers – Diffusion models for image and audio generation.
sentence-transformers – Multilingual sentence & image embeddings.

Natural Language Processing

transformers – Pretrained NLP models for PyTorch/TensorFlow.
datasets – Hugging Face hub for ready-to-use datasets.
evaluate – Metrics and evaluation tools for ML models.
sentence-transformers – Sentence embeddings for semantic search and more.

These libraries are actively maintained, production-ready, and widely used in both industry and academia.

_{🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.}

## 📋 Pull Request Information **Original PR:** https://github.com/vinta/awesome-python/pull/2730 **Author:** [@sahillihas](https://github.com/sahillihas) **Created:** 7/4/2025 **Status:** ❌ Closed **Base:** `master` ← **Head:** `master` --- ### 📝 Commits (1) - [`ced697a`](https://github.com/vinta/awesome-python/commit/ced697a3c5cb297b50118d37ae7943c8318946e6) ML/DL/NLP libraries added ### 📊 Changes **1 file changed** (+101 additions, -89 deletions) <details> <summary>View changed files</summary> 📝 `README.md` (+101 -89) </details> ### 📄 Description Added essential libraries under **Machine Learning**, **Deep Learning**, and **NLP** categories to reflect widely adopted tools in modern ML/DL workflows. ### Machine Learning - [`lightgbm`](https://github.com/microsoft/LightGBM) – Fast, distributed, high-performance gradient boosting. - [`catboost`](https://github.com/catboost/catboost) – High-performance gradient boosting on decision trees. - [`optuna`](https://github.com/optuna/optuna) – Automatic hyperparameter optimization framework. - [`mlflow`](https://github.com/mlflow/mlflow) – End-to-end platform for managing the ML lifecycle. ### Deep Learning - [`transformers`](https://github.com/huggingface/transformers) – State-of-the-art NLP models by Hugging Face. - [`diffusers`](https://github.com/huggingface/diffusers) – Diffusion models for image and audio generation. - [`sentence-transformers`](https://github.com/UKPLab/sentence-transformers) – Multilingual sentence & image embeddings. ### Natural Language Processing - [`transformers`](https://github.com/huggingface/transformers) – Pretrained NLP models for PyTorch/TensorFlow. - [`datasets`](https://github.com/huggingface/datasets) – Hugging Face hub for ready-to-use datasets. - [`evaluate`](https://github.com/huggingface/evaluate) – Metrics and evaluation tools for ML models. - [`sentence-transformers`](https://github.com/UKPLab/sentence-transformers) – Sentence embeddings for semantic search and more. These libraries are actively maintained, production-ready, and widely used in both industry and academia. --- <sub>🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.</sub>

GiteaMirror added the pull-request label 2026-04-24 05:56:32 -05:00

GiteaMirror closed this issue

2026-04-24 05:56:33 -05:00

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Reference: github-starred/awesome-python#11072