qzhsdu's repositories
zihengqin.github.io
my resume and blog
alg-2
📚 Solutions to Introduction to Algorithms Third Edition
resume_template_hugo
a minimal academic page for Hugo
MASR
Pytorch实现的流式与非流式的自动语音识别框架，同时兼容在线和离线识别，目前支持DeepSpeech2模型，支持多种数据增强方法。
annotated_deep_learning_paper_implementations
🧑🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
Ai-Learn
人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域
OpenCourse
山东大学 - 课程资料共享计划
SpeakerGuard
a Pytorch library for security research on speaker recognition, released in "Towards Understanding and Mitigating Audio Adversarial Examples for Speaker Recognition"
deepspeech.pytorch
Speech Recognition using DeepSpeech2.
speech_dataset
The dataset of Speech Recognition
cyaron
CYaRon: Yet Another Random Olympic-iNformatics test data generator
Seq2Seq-PyTorch
Sequence to Sequence Models with PyTorch
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.
qzhsdu
Config files for my GitHub profile.
AlexNet_PyTorch
PyTorch implementation of AlexNet model. Paper: https://proceedings.neurips.cc/paper/2012/file/c399862d3b9d6b76c8436e924a68c45b-Paper.pdf
BC-ResNet
BC-ResNet for Keyword Spotting
DS-courseDesign
山东大学数据结构课程设计
ACMpractice
山东大学程序设计思维与实践作业
FAKEBOB
Source code for paper "Who is real Bob? Adversarial Attacks on Speaker Recognition Systems" (IEEE S&P 2021)
nes-torch
Minimal PyTorch Library for Natural Evolution Strategies
DL-AndrewNg
吴恩达深度学习2021年空白作业
alg-1
:notebook:Solutions to Introduction to Algorithms
BCResNet
Broadcasted Residual Learning for Efficient Keyword Spotting
triplet_loss_kws
Learning Efficient Representations for Keyword Spotting with Triplet Loss
Curriculum-design-of-Computer-Organization
计算机组成课程设计--山东大学
Computer-Networking-A-Top-Down-Approach-8th-Edtion
计算机网络：自顶向下设计8th(2020)，配套PPT，编程作业，WireShark实验，新增2020Fall Slides。
Computer-Networking-A-Top-Down-Approach-NOTES
《计算机网络－自顶向下方法(原书第6版)》编程作业，Wireshark实验文档的翻译和解答。