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100-Days-Of-ML-Code中文版-机器学习 100 天
Code for various active transfer learning projects.
Adaptive riemannian geometry toolbox
Bug-tracking for Jeff's algorithms book, notes, etc.
#paper: EEGNet: a compact convolutional neural network for EEG-based brain–computer interfaces Vernon J Lawhern1,5, Amelia J Solon1,2, Nicholas R Waytowich1,3, Stephen M Gordon1,2, Chou P Hung1,4 and Brent J Lance1 EEGNet-This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow
A curated list of Multimodal Related Research.
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
The official PyTorch implementation of paper BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition
Riemannian Geometry workshop at vBCI Meeting 2021
A LaTeX class for producing presentations and slides.Beamer是一个latex用于做presentation的库包,内置很多种样式主题和颜色
TensorFlow code and pre-trained models for BERT。谷歌AI的BERT论文(https://arxiv.org/abs/1810.04805)在十月份席卷了整个深度学习community。该论文提出了一个深度双向Transformer模型,该模型implementation了11项NLP任务的最新性能,包括斯坦福问答数据集。谷歌AI开源了他们论文的源码
Google AI 2018 BERT pytorch implementation。随着DL community越来越多地在两个框架中的一个框架中构建模型,非常需要在两个框架中implementation论文中的模型,这样整个深度学习community都可以使用它们。
BioSignal Analysis Kit
北京师范大学口语考试话题汇总
Brainstorm software: MEG, EEG, fNIRS, ECoG, sEEG and electrophysiology
[UNMAINTAINED] 非监督特征学习与深度学习中文教程,该版本翻译自新版 UFLDL Tutorial 。建议新人们去学习斯坦福的CS231n课程,该门课程在网易云课堂上也有一个配有中文字幕的版本。
A PyTorch implementation of Conv-TasNet described in "TasNet: Surpassing Ideal Time-Frequency Masking for Speech Separation" with Permutation Invariant Training (PIT).
Correlation Alignment for Domain Adaptation
Covariance toolbox for matlab, including riemannian geometry
功率谱协方差 扩展协方差
Keras Implement of CTSLSTM
CVPR 2020 论文开源项目合集
cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集,极市团队整理
《动手学深度学习》《动手学深度学习》,英文版即伯克利深度学习(STAT 157,2019春)教材。面向中文读者、能运行、可讨论。 https://zh.d2l.ai
Jupyter notebooks for the code samples of the book "Deep Learning with Python"《Python深度学习》由Keras之父、现任Google人工智能研究员的弗朗索瓦?肖莱(Franc.ois Chollet)执笔,详尽介绍了用Python和Keras进行深度学习的探索实践,包括计算机视觉、自然语言处理、产生式模型等应用。
深度学习入门开源书,基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
PyTorch implementations of deep reinforcement learning algorithms and environments
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为15个章节,近20万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 版权所有,违权必究 Tan 2018.06
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.