zengchang233 Goto Github PK

a-structured-self-attentive-sentence-embedding

asv-subtools

An Open Source Tools for Speaker Recognition

asv_beginner

To newcomer: common tools built by PyTorch for automatic speaker verification

asv_neural_network

neural network and loss for asv implemented by PyTorch. (Triplet loss, LMCL, Angular Loss, Softmax)

awesome-attentions

PyTorch implementation of some attentions for Deep Learning Researchers.

awesome-machine-learning

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

crosssinger

The source code for the paper CrossSinger (asru2023)

deep_learning_course

diff_generative_speech

This is the main repository of open-sourced speech technology by Huawei Noah's Ark Lab.

dive-into-machine-learning

Dive into Machine Learning with Python Jupyter notebook and scikit-learn!

gdlnotes

Google Deep Learning Notes（TensorFlow教程）

git

git practice

gmm_baseline

未来杯语音赛道说话人识别的baseline

growing-up

程序猿成长计划

hugo_academic

hugo academic

images_classification

Signate Practice Competition: https://signate.jp/competitions/108

lightning-thunder

Source to source compiler for PyTorch. It makes PyTorch programs faster on single accelerators and distributed.

machinelearning_python

机器学习算法python实现

ml-and-dm-in-action

Share my code during learning machine learning and data mining

mlcompetitionhub

机器学习竞赛信息聚合(Machine learning competition information aggregation)

mtgan

MTGAN: Speaker Verification through Multitasking Triplet Generative Adversarial Networks

myleetcode

leetcode-cn my answer

nanogpt

The simplest, fastest repository for training/finetuning medium-sized GPTs.

nnsvs

Neural network-based singing voice synthesis library for research

notes-python

中文 Python 笔记

of-sre

speaker recognition implemented by oneflow library

programming-notes

Notes of learning Programming

project-nn-pytorch-scripts

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

roadmap-of-dl-and-ml

Roadmap of DL and ML, some courses, study notes and paper summary