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openselfsup

Self-Supervised Learning Toolbox and Benchmark

pcrf

Python Linear CRF

piecewisecrf

The code for my master thesis "Modelling the Co-Occurrence of Semantic Labels with Conditional Random Fields"

pleasd

PLEASD: A Matlab Toolbox for Structured Learning

profxkit

Professor X Toolkit (previously known as the Princeton Vision and Robotics Toolkit)

py-crf

Python implementation of linear-chain conditional random fields.

pygpstruct

Python implementation of the GPstruct model

pyhcrf

A hidden conditional random field (HCRF) implementation in Python.

pyramid

Open source Machine Learning library written in Java

python-crf

Python implementation of linear-chain conditional random fields.

python-crfsuite

A python binding for crfsuite

python-max-margin-classifier

pytorch-nlp-tutorial

A batch-wise NLP tutorial with Pytorch

pytorch-pos-tagger

Part-of-Speech Tagger and custom implementations of LSTM, GRU and Vanilla RNN

pytorch-pos-tagging

A tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText. [IN PROGRESS]

pytorchnlpbook

Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://nlproc.info

rnn-pos-tagger-tle

Implement RNNs by PyTorch for automatic POS tagging

scikit-learn

scikit-learn: machine learning in Python

segrep-for-nn-semicrf

Code for Exploring Segment Representations for Neural Segmentation Models

semikmeans

scikit-learn compliant Semi-Supervised Kmeans (seeded Kmeans) with probability estimates

semisup-learn

Semi-supervised learning frameworks for python, which allow fitting scikit-learn classifiers to partially labeled data

statnlp-papers

StatNLP Papers Repository

svm

支持向量机的python实现

svm-1

Support Vector Machine in Python

svm-matlab-implmentation

Two implementation: Quadratic Programming and Stochastic Gradient Descent.

svm-python

Implemented SVM in Python. In particular, the SMO algorithm is implemented.

tensorflow

Computation using data flow graphs for scalable machine learning

tensorflow-1

Examples built with TensorFlow

tensorflow-2.x-tutorials

TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。

tensorflow-generative-model-collections

Collection of generative models in Tensorflow