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fulin-wei's Projects

adargc icon adargc

Adaptive riemannian geometry toolbox

algorithms icon algorithms

Bug-tracking for Jeff's algorithms book, notes, etc.

arl-eegmodels icon arl-eegmodels

#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

baselines icon baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

bbn icon bbn

The official PyTorch implementation of paper BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition

beamer icon beamer

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

bert icon bert

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

bert-pytorch icon bert-pytorch

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。

brainstorm3 icon brainstorm3

Brainstorm software: MEG, EEG, fNIRS, ECoG, sEEG and electrophysiology

chinese-ufldl-tutorial icon chinese-ufldl-tutorial

[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。

conv-tasnet icon conv-tasnet

A PyTorch implementation of Conv-TasNet described in "TasNet: Surpassing Ideal Time-Frequency Masking for Speech Separation" with Permutation Invariant Training (PIT).

coral icon coral

Correlation Alignment for Domain Adaptation

covpsd icon covpsd

功率谱协方差 扩展协方差

d2l-zh icon d2l-zh

《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

deep-learning-with-python-notebooks icon deep-learning-with-python-notebooks

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。

deeplearning-500-questions icon deeplearning-500-questions

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

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