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Jackie's Projects

algorithm_interview_notes-chinese icon algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

blog icon blog

Public repo for HF blog posts

cantoasr icon cantoasr

Fine-tuning Wav2Vec2.0 on Common Voice(zh-HK)

cs-notes icon cs-notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、Java、Python、C++

ctc-segmentation icon ctc-segmentation

Segment an audio file and obtain utterance alignments. (Python package)

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

espnet icon espnet

End-to-End Speech Processing Toolkit

fairseq icon fairseq

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

kaldi-dnn-ali-gop icon kaldi-dnn-ali-gop

Forced alignment and Goodness of Pronunciation (GOP) with DNN support. Bases on Kaldi.

kaldi-gop icon kaldi-gop

Computes the Goodness of Pronunciation (GOP). Bases on Kaldi.

kospeech icon kospeech

Open-Source Toolkit for End-to-End Korean Automatic Speech Recognition.

leetcode icon leetcode

python 数据结构与算法 leetcode 算法题与书籍 刷算法全靠套路与总结!Crack LeetCode, not only how, but also why.

panphon icon panphon

Python package and data files for manipulating phonological segments (phones, phonemes) in terms of universal phonological features.

pytorch-kaldi icon pytorch-kaldi

pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.

pytorch_practice icon pytorch_practice

这是我学习 PyTorch 的笔记对应的代码,点击查看 PyTorch 笔记在线电子书

svm-rfe icon svm-rfe

An R implementation of the (multiple) Support Vector Machine Recursive Feature Elimination (mSVM-RFE) feature ranking algorithm

transformers icon transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

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