Zhang-Yongyue

Zhang-Yongyue's Stars

• jacobhilton/deep_learning_curriculum

  Language model alignment-focused deep learning curriculum

  1.3k106

• Muzammal-Naseer/CDA

  Official repository for "Cross-Domain Transferability of Adversarial Perturbations" (NeurIPS 2019)

  Language:Python5811

• jpzhang1810/NAA

  Official Tensorflow implementation for "Improving Adversarial Transferability via Neuron Attribution-based Attacks" (CVPR 2022)

  Language:Python334

• luopeixiang/named_entity_recognition

  中文命名实体识别（包括多种模型：HMM，CRF，BiLSTM，BiLSTM+CRF的具体实现）

  Language:Python2.1k537

• chr5tphr/zennit

  Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.

  Language:Python20032

• rachtibat/zennit-crp

  An eXplainable AI toolkit with Concept Relevance Propagation and Relevance Maximization

  Language:Jupyter Notebook11715

• datawhalechina/so-large-lm

  大模型基础: 一文了解大模型基础知识

  2.9k260

• datawhalechina/agent-tutorial

  17520

• datawhalechina/easy-rl

  强化学习中文教程（蘑菇书🍄），在线阅读地址：https://datawhalechina.github.io/easy-rl/

  Language:Jupyter Notebook9.5k1.9k

• sayakpaul/robustness-vit

  Contains code for the paper "Vision Transformers are Robust Learners" (AAAI 2022).

  Language:Jupyter Notebook12317

• all-things-vits/code-samples

  Holds code for our CVPR'23 tutorial: All Things ViTs: Understanding and Interpreting Attention in Vision.

  Language:Jupyter Notebook17410

• WZMIAOMIAO/deep-learning-for-image-processing

  deep learning for image processing including classification and object-detection etc.

  Language:Python23.1k8k

• datawhalechina/llm-cookbook

  面向开发者的 LLM 入门教程，吴恩达大模型系列课程中文版

  Language:Jupyter Notebook11.8k1.5k

• datawhalechina/llm-universe

  本项目是一个面向小白开发者的大模型应用开发教程，在线阅读地址：https://datawhalechina.github.io/llm-universe/

  Language:Jupyter Notebook4.7k581

• Dany503/Evolutionary-Microgrids

  Language:Python101

• jbeomlee93/AdvCAM

  Anti-Adversarially Manipulated Attributions for Weakly and Semi-Supervised Semantic Segmentation (CVPR 2021)

  Language:Python12716

• adelacvg/NS2VC

  Unofficial implementation of NaturalSpeech2 for Voice Conversion and Text to Speech

  Language:Python23012

• JIAOJIAYUASD/dilateformer

  Language:Python12310

• wmathor/nlp-tutorial

  Natural Language Processing Tutorial for Deep Learning Researchers

  Language:Jupyter Notebook1.1k359

• YMLZS/Transformer_BearingFaultDiagnosis

  Using transformer to realize Bearing Fault Diagnosis

  Language:Python512

• kenjihiranabe/The-Art-of-Linear-Algebra

  Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"

  Language:PostScript18k2.2k

• taylorlu/Speaker-Diarization

  speaker diarization by uis-rnn and speaker embedding by vgg-speaker-recognition

  Language:Python469121

• aplotor/ml-speech

  ML assignment involving GMMs and RNNs on acoustic data. performs speech recognition, speaker identification, deception (lie) detection, and sequence modelling

  Language:Python2

• SuperKogito/Voice-based-gender-recognition

  :sound: :boy: :girl:Voice based gender recognition using Mel-frequency cepstrum coefficients (MFCC) and Gaussian mixture models (GMM)

  Language:Python20266

• slaysd/pytorch-sentiment-analysis-classification

  A PyTorch Tutorials of Sentiment Analysis Classification (RNN, LSTM, Bi-LSTM, LSTM+Attention, CNN)

  Language:Jupyter Notebook28739

• yeyupiaoling/VoiceprintRecognition-Pytorch

  This project uses a variety of advanced voiceprint recognition models such as EcapaTdnn, ResNetSE, ERes2Net, CAM++, etc. It is not excluded that more models will be supported in the future. At the same time, this project also supports MelSpectrogram, Spectrogram data preprocessing methods

  Language:Python791124

• ZhengyuZhao/PerC-Adversarial

  Large yet imperceptible adversarial perturbations with perceptual color distance (CVPR 2020)

  Language:Python5512

• cleverhans-lab/cleverhans

  An adversarial example library for constructing attacks, building defenses, and benchmarking both

  Language:Jupyter Notebook6.2k1.4k

• TommyZihao/Train_Custom_Dataset

  标注自己的数据集，训练、评估、测试、部署自己的人工智能算法

  Language:Jupyter Notebook3.2k656

• hcguoO0/adversarial-attacks-pytorch

  PyTorch implementations of Adversarial attacks and utils.

  2