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anago

Bidirectional LSTM-CRF for Sequence Labeling. Easy-to-use and state-of-the-art performance.

awesome-chatgpt-prompts

This repo includes ChatGPT prompt curation to use ChatGPT better.

awesome-langchain

😎 Awesome list of tools and projects with the awesome LangChain framework

chinsese_word_vectors

Chinsese_word_vectors

cnn-text-classification-tf

Convolutional Neural Network for Text Classification in Tensorflow

cppproject

Cpp

distributed-systems

MIT课程《Distributed Systems 》学习和翻译

embedding_cluster

facenet

Face recognition using Tensorflow

faiss

A library for efficient similarity search and clustering of dense vectors.

go-decorator-pattern

golang and decorators / decorator patterns

goreporter

A Golang tool that does static analysis, unit testing, code review and generate code quality report.

mit-6.824

Basic Sources for MIT 6.824 Distributed Systems Class

mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Go, Javascript and more

ner-lstm

Named Entity Recognition using multilayered bidirectional LSTM

rules_boost

bazel build rules to use boost in bazel projects

sentencenet

sif

sentence embedding by Smooth Inverse Frequency weighting scheme

slash

A locality-sensitive hashing library

sparsehash

Automatically exported from code.google.com/p/sparsehash

state-of-the-art-result-for-machine-learning-problems

This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.

stopwords-zh

Chinese stopwords collection

tagger

Named Entity Recognition Tool

very-deep-convolutional-networks-for-natural-language-processing-in-tensorflow

implement the paper" Very Deep Convolutional Networks for Natural Language Processing"(https://arxiv.org/abs/1606.01781 ) in tensorflow