Xiao Xiao (XiaoZheng-YY)

XiaoZheng-YY

Geek Repo

Github PK Tool:Github PK Tool

Xiao Xiao's 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

Language:Jupyter NotebookLicense:MITStargazers:0Issues:0Issues:0

ai50

My work on CS50's "Introduction to Artificial Intelligence with Python".

Language:PythonStargazers:0Issues:0Issues:0

aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

Language:Jupyter NotebookLicense:MITStargazers:0Issues:0Issues:0

avatarify-python

Avatars for Zoom, Skype and other video-conferencing apps.

Language:PythonLicense:NOASSERTIONStargazers:0Issues:0Issues:0

BasicTS

A Standard and Fair Time Series Forecasting Benchmark and Toolkit.

Language:PythonLicense:Apache-2.0Stargazers:0Issues:0Issues:0

brain-score

A framework for evaluating models on integrative brain measurements

Language:PythonLicense:MITStargazers:0Issues:0Issues:0

CORnet

[NeurIPS2019] CORnet: Modeling the Neural Mechanisms of Core Object Recognition

Language:PythonLicense:GPL-3.0Stargazers:0Issues:0Issues:0

cs50_AI_python_psets

CS50’s Introduction to Artificial Intelligence with Python PSET Solns

Language:HTMLStargazers:0Issues:0Issues:0

DeepWave

A Deep Learning Approach leveraging Transformer style Architectures for signal classification

Language:PythonStargazers:0Issues:0Issues:0

dnnbrain

Use DNN to study the brain and use brain measurement to evaluate DNN

Language:PythonLicense:MITStargazers:0Issues:0Issues:0

EEG-Datasets

A list of all public EEG-datasets

Stargazers:0Issues:0Issues:0

EEG-DL

A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

Language:PythonLicense:MITStargazers:0Issues:0Issues:0

interpret_ml_neuroimaging

Codes and datasets for "Interpreting machine learning models in neuroimaging: a unified framework"

License:GPL-3.0Stargazers:0Issues:0Issues:0

LinuxServer

实验室服务器操作手册

Stargazers:0Issues:0Issues:0

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。

Stargazers:0Issues:0Issues:0

multitask

Code for Task representations in neural networks trained to perform many cognitive tasks

Stargazers:0Issues:0Issues:0

nn-brain

Tutorial codes for modeling brains with neural nets

License:MITStargazers:0Issues:0Issues:0

obsidian_vault_template_for_researcher

This is an vault template for researchers using obsidian.

License:GPL-3.0Stargazers:0Issues:0Issues:0

occlusion-classification

[PNAS2018] Recurrent computations for visual pattern completion: Classification of occluded images in humans and recurrent neural networks

Stargazers:0Issues:0Issues:0

prednet

Code and models accompanying "Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning"

License:MITStargazers:0Issues:0Issues:0

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

Stargazers:0Issues:0Issues:0

RetinalResources

Code for "A Unified Theory of Early Visual Representations from Retina to Cortex through Anatomically Constrained Deep CNNs", ICLR 2019

Stargazers:0Issues:0Issues:0

sample-model-submission

Template and examples for model submissions to Brain-Score

Stargazers:0Issues:0Issues:0

tensorflow

An Open Source Machine Learning Framework for Everyone

License:Apache-2.0Stargazers:0Issues:0Issues:0

unsup_vvs

Unsupervised deep convolutional neural network model for the ventral visual stream.

Stargazers:0Issues:0Issues:0

zihao_course

同济子豪兄的公开课

Stargazers:0Issues:0Issues:0