Pinned Repositories
a_journey_into_math_of_ml
汉语自然语言处理视频教程-开源学习资料
ai50
My work on CS50's "Introduction to Artificial Intelligence with Python".
aima-python
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
avatarify-python
Avatars for Zoom, Skype and other video-conferencing apps.
BasicTS
A Standard and Fair Time Series Forecasting Benchmark and Toolkit.
brain-score
A framework for evaluating models on integrative brain measurements
CORnet
[NeurIPS2019] CORnet: Modeling the Neural Mechanisms of Core Object Recognition
cs50_AI_python_psets
CS50’s Introduction to Artificial Intelligence with Python PSET Solns
DeepWave
A Deep Learning Approach leveraging Transformer style Architectures for signal classification
dnnbrain
Use DNN to study the brain and use brain measurement to evaluate DNN
XiaoZheng-YY's Repositories
XiaoZheng-YY/a_journey_into_math_of_ml
汉语自然语言处理视频教程-开源学习资料
XiaoZheng-YY/ai50
My work on CS50's "Introduction to Artificial Intelligence with Python".
XiaoZheng-YY/aima-python
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
XiaoZheng-YY/avatarify-python
Avatars for Zoom, Skype and other video-conferencing apps.
XiaoZheng-YY/BasicTS
A Standard and Fair Time Series Forecasting Benchmark and Toolkit.
XiaoZheng-YY/brain-score
A framework for evaluating models on integrative brain measurements
XiaoZheng-YY/CORnet
[NeurIPS2019] CORnet: Modeling the Neural Mechanisms of Core Object Recognition
XiaoZheng-YY/cs50_AI_python_psets
CS50’s Introduction to Artificial Intelligence with Python PSET Solns
XiaoZheng-YY/DeepWave
A Deep Learning Approach leveraging Transformer style Architectures for signal classification
XiaoZheng-YY/dnnbrain
Use DNN to study the brain and use brain measurement to evaluate DNN
XiaoZheng-YY/EEG-Datasets
A list of all public EEG-datasets
XiaoZheng-YY/EEG-DL
A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
XiaoZheng-YY/interpret_ml_neuroimaging
Codes and datasets for "Interpreting machine learning models in neuroimaging: a unified framework"
XiaoZheng-YY/LinuxServer
实验室服务器操作手册
XiaoZheng-YY/ML-NLP
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。
XiaoZheng-YY/multitask
Code for Task representations in neural networks trained to perform many cognitive tasks
XiaoZheng-YY/nn-brain
Tutorial codes for modeling brains with neural nets
XiaoZheng-YY/obsidian_vault_template_for_researcher
This is an vault template for researchers using obsidian.
XiaoZheng-YY/occlusion-classification
[PNAS2018] Recurrent computations for visual pattern completion: Classification of occluded images in humans and recurrent neural networks
XiaoZheng-YY/prednet
Code and models accompanying "Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning"
XiaoZheng-YY/pytorch-handbook
pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行
XiaoZheng-YY/RetinalResources
Code for "A Unified Theory of Early Visual Representations from Retina to Cortex through Anatomically Constrained Deep CNNs", ICLR 2019
XiaoZheng-YY/sample-model-submission
Template and examples for model submissions to Brain-Score
XiaoZheng-YY/tensorflow
An Open Source Machine Learning Framework for Everyone
XiaoZheng-YY/unsup_vvs
Unsupervised deep convolutional neural network model for the ventral visual stream.
XiaoZheng-YY/zihao_course
同济子豪兄的公开课