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sugarcase's Projects

chatglm-6b icon chatglm-6b

ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型

crfsuite icon crfsuite

CRFsuite: a fast implementation of Conditional Random Fields (CRFs)

curl-android-ios icon curl-android-ios

Static libcurl to be used in Android and iOS apps. Build scripts included. No Android source required

deeplearning-500-questions icon deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

dirent icon dirent

C/C++ library for retrieving information on files and directories

fay icon fay

Fay是一个完整的开源项目，包含Fay控制器及数字人模型，可灵活组合出不同的应用场景：虚拟主播、现场推销货、商品导购、语音助理、远程语音助理、数字人互动、数字人面试官及心理测评、贾维斯、Her。 开源项目，非产品试用！！！

funasr icon funasr

A Fundamental End-to-End Speech Recognition Toolkit

hanlp icon hanlp

自然语言处理 中文分词 词性标注 命名实体识别 依存句法分析 关键词提取 自动摘要 短语提取 拼音 简繁转换

honk icon honk

PyTorch implementations of neural network models for keyword spotting

kaldi icon kaldi

This is now the official location of the Kaldi project.

kaldiio icon kaldiio

A pure python module for reading and writing kaldi ark files

keyword-transformer icon keyword-transformer

Official implementation of the Keyword Transformer: https://arxiv.org/abs/2104.00769

libmtl icon libmtl

A PyTorch Library for Multi-Task Learning

liferestart icon liferestart

やり直すんだ。そして、次はうまくやる。

pytorch-loss icon pytorch-loss

label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful

pytorch-unet icon pytorch-unet

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

setk icon setk

Tools for Speech Enhancement integrated with Kaldi

slp-3e-zh icon slp-3e-zh

:book: [译] 自然语言处理综论 第三版

styleguide icon styleguide

Style guides for Google-originated open-source projects

terminal icon terminal

The new Windows Terminal, and the original Windows console host -- all in the same place!

triplet_loss_kws icon triplet_loss_kws

Learning Efficient Representations for Keyword Spotting with Triplet Loss

u-2-net icon u-2-net

The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."

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