Skip to content
Awesomelist
Type at least 2 letters

Search entries, descriptions and list names. Press Esc to close.

Arrow keys move, Enter opensFull search page

Entry

spaCy

Appears in 7 awesome lists

Industrial-strength natural language processing with 75+ languages, transformer pipelines, and production-grade NER, parsing, and text classification.

Open github.comexplosion/spacy

Found in these lists

Awesome Machine Learning

Section: Python · Industrial strength NLP with Python and Cython.

FreshScore 93

awesome-nlp

Section: Libraries · Industrial strength NLP with Python and Cython :+1:

FreshScore 90

Awesome Open Source AI

Section: 1. Core Frameworks & Libraries · Industrial-strength natural language processing with 75+ languages, transformer pipelines, and production-grade NER, parsing, and text classification.

FreshScore 89

Awesome Production Machine Learning

Section: Industry Strength Natural Language Processing · spaCy is a library for advanced Natural Language Processing in Python and Cython.

FreshScore 92

Awesome Python

Section: Natural Language Processing · A library for industrial-strength natural language processing in Python and Cython.

FreshScore 94

awesome-python

Section: Natural Language Processing · 💫 Industrial-strength Natural Language Processing (NLP) in Python

FreshScore 81

Table of Contents

Section: Python Frameworks, Libraries, and Tools · is a library for advanced Natural Language Processing in Python and Cython.

SlowScore 51

TensorFlow

How to use the Hexagon Delegate to speed up model inference on mobile and edge devices. Also see blog post Accelerating TensorFlow Lite on Qualcomm Hexagon DSPs.

In 23 listsDetails

PyTorch

(label: good first issue) PyTorch is an open source machine learning library based on the Torch library, used for applications such as computer vision and natural language processing.

In 16 listsDetails

Opik

Comet's open-source AI observability and evaluation platform: deep tracing of LLM calls, conversation logging, and agent activity, plus built-in eval metrics, prompt versioning, guardrails, and the Opik Agent Optimizer. Worth including because it unifies observability, verification, and…

In 16 listsDetails

Luigi

Python module for building complex pipelines of batch jobs. Handles dependency resolution, workflow management, visualization, and Hadoop integration. Built at Spotify and battle-tested in production. Apache 2.0 licensed.

In 15 listsDetails

transformers

(formerly known as pytorch-transformers and pytorch-pretrained-bert) provides state-of-the-art general-purpose architectures (BERT, GPT-2, RoBERTa, XLM, DistilBert, XLNet, CTRL...) for Natural Language Understanding (NLU) and Natural Language Generation (NLG) with over 32+ pretrained models in…

In 14 listsDetails

Colossal-AI

(from Hpcaitech) - A Unified Deep Learning System for Large-Scale Parallel Training (1D, 2D, 2.5D, 3D and sequence parallelism, and ZeRO protocol).

In 14 listsDetails

Apache Airflow

"Use airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command line utilities make performing complex surgeries on DAGs a snap. The rich user interface makes it…

In 13 listsDetails

Ray

A fast and simple framework for building and running distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library. ray.io

In 13 listsDetails