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berkeley-stat-157

Homepage for STAT 157 at UC Berkeley

causalpinns

clae

CLAE: Representation Learning with Class Level Autoencoder

crab

d2l-en

Interactive deep learning book with code, math, and discussions. Available in multi-frameworks.

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。

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18个章节，50余万字。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............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

download_images_from_google

This code is modified based on the project "hardikvasa/google-images-download"

dscrn

DSCRN: Deep subclass reconstruction network

essentialmath

fscn

gradientpathologiespinns

latticelstm

Chinese NER using Lattice LSTM. Code for ACL 2018 paper.

machine-learning-course

:speech_balloon: Machine Learning Course with Python:

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。

mrfn

MRFN: multi-scale representations fusion network

navier-stokes-numerical-solution-using-fdm-fvm-lbm-solver-python-scripting

Python script for Linear, Non-Linear Convection, Burger’s & Poisson Equation in 1D & 2D, 1D Diffusion Equation using Standard Wall Function, 2D Heat Conduction Convection equation with Dirichlet & Neumann BC, full Navier-Stokes Equation coupled with Poisson equation for Cavity and Channel flow in 2D using Finite Difference Method & Finite Volume Me

ncrfpp

NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.

neural-pde-solver

news-scrapper

Scrapping News using Python-NewsAPI and computing the sentiment of New contents

nsfnets

PINN in solving Navier–Stokes equation

python-100-days

Python - 100天从新手到大师

softmax_classifier

A Softmax Classifier written in python

sqdataset

SQ dataset for fault diagnosis pulished by Xi'an jiaotong University

stanford-cs-229-machine-learning-1

VIP cheatsheets for Stanford's CS 229 Machine Learning

stanford-cs-230-deep-learning

VIP cheatsheets for Stanford's CS 230 Deep Learning

text-attention-heatmap-visualization

Plot the vector graph of attention based text visualisation

tsne-plot-and-bar-graphs

Essential codes for result analysis

usnccm15-short-course-recent-advances-in-physics-informed-deep-learning