A curated list of awesome Machine Learning frameworks, libraries and software.

scikit-learn: machine learning in Python

TensorFlow code and pre-trained models for BERT

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

A list of all named GANs!

Convert Machine Learning Code Between Frameworks

A very simple framework for state-of-the-art Natural Language Processing (NLP)

🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP

Official implementations for various pre-training models of ERNIE-family, covering topics of Language Understanding & Generation, Multimodal Understanding & Generation, and beyond.

A general-purpose encoder-decoder framework for Tensorflow

Deep Learning Tutorial notes and code. See the wiki for more info.

Sent2Vec encoder and training code from the paper "Skip-Thought Vectors"

Named Entity Recognition (LSTM + CRF) - Tensorflow

BabyAI platform. A testbed for training agents to understand and execute language commands.

Deep neural models for core NLP tasks (Pytorch version)

Simple implementation of Conditional Random Fields (CRF) in Python. A faster, more powerful, Cython implementation is available in the vocrf project https://github.com/timvieira/vocrf

Code and pre-trained model for: Deep Semantic Role Labeling: What Works and What's Next

Deep Semantic Role Labeling with Self-Attention

A frame-semantic parsing system based on a softmax-margin SegRNN.

Machine Learning applied to Natural Language Processing Toolkit used in the Lisbon Machine Learning Summer School

Numpy group_by and set-operations

A Simple and Accurate Syntax-Agnostic Neural Model for Dependency-based Semantic Role Labeling

A minimal, pure Python library to interface with CoNLL-U format files.

A system for generating training labels via natural language explanations

Labeled Span Graph Networks

Spoken Language Understanding(SLU)/Slot Filling in Keras

Hierarchical Encoder Decoder for Dialog Modelling