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Search results for jupyter notebook neural
jupyternotebook
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neural
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1,282 search results found
Tensorflow Examples
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43,109
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Nlp Tutorial
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13,226
Natural Language Processing Tutorial for Deep Learning Researchers
Pytorch Book
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11,409
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)
Nerf
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8,487
Code release for NeRF (Neural Radiance Fields)
Machine Learning Notes
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7,461
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接
Pytorch Tutorial
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7,372
Build your neural network easy and fast, 莫烦Python中文教学
Micrograd
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6,997
A tiny scalarvalued autograd engine and a neural net library on top of it with PyTorchlike API
Tensorflow Tutorials
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5,861
Simple tutorials using Google's TensorFlow Framework
T81_558_deep_learning
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5,590
T81558: Keras  Applications of Deep Neural Networks @Washington University in St. Louis
Deep Learning Coursera
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5,253
Deep Learning Specialization by Andrew Ng on Coursera.
Deep Learning V2 Pytorch
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4,973
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deeplearningnanod
Practical Pytorch
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4,272
Go to https://github.com/pytorch/tutorials  this repo is deprecated and no longer maintained
Lucid
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4,232
A collection of infrastructure and tools for research in neural network interpretability.
Deep Learning
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3,957
Repo for the Deep Learning Nanodegree Foundations program.
D2l Pytorch
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3,933
This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.
Python Machine Learning Book 3rd Edition
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3,897
The "Python Machine Learning (3rd edition)" book code repository
Adanet
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3,309
Fast and flexible AutoML with learning guarantees.
Practicalai Cn
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3,150
AI实战practicalAI 中文版
Lstm Human Activity Recognition
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3,074
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories  Guillaume Chevalier
Deep Learning Book
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2,650
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
Coursera Deep Learning Specialization
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2,459
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
Gluon Api
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2,321
A clear, concise, simple yet powerful and efficient API for deep learning.
Machine Learning
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2,260
머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)
Tensorflow Without A Phd
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2,220
A crash course in six episodes for software developers who want to become machine learning practitioners.
Neural Style Transfer
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2,184
Keras Implementation of Neural Style Transfer from the paper "A Neural Algorithm of Artistic Style" (http://arxiv.org/abs/1508.06576) in Keras 2.0+
Neural Tangents
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2,149
Fast and Easy Infinite Neural Networks in Python
Exercise
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1,927
exercise for nndl
Uvadlc_notebooks
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1,860
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2022/Spring 2022
Deep Learning Time Series
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1,811
List of papers, code and experiments using deep learning for time series forecasting
Machine Learning Experiments
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1,552
🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo
Snns
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1,513
Tutorials and implementations for "Selfnormalizing networks"
Awesome Pytorch List Cnversion
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1,426
Awesomepytorchlist 翻译工作进行中......
Andrew Ng Notes
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1,367
This is Andrew NG Coursera Handwritten Notes.
Lectures Labs
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1,309
Slides and Jupyter notebooks for the Deep Learning lectures at Master Year 2 Data Science from Institut Polytechnique de Paris
Cracking The Data Science Interview
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1,291
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
Ilearndeeplearning.py
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1,291
This repository contains small projects related to Neural Networks and Deep Learning in general. Subjects are closely linekd with articles I publish on Medium. I encourage you both to read as well as to check how the code works in the action.
Neural Networks Demystified
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1,285
Supporting code for short YouTube series Neural Networks Demystified.
Deep Learning Coursera
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1,236
Deep Learning Specialization by Andrew Ng, deeplearning.ai.
Torchdyn
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1,187
A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
Info8010 Deep Learning
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1,166
Lectures for INFO8010  Deep Learning, ULiège
One Pixel Attack Keras
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1,078
Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet
Seq2seq Signal Prediction
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1,036
Signal forecasting with a SequencetoSequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow  Guillaume Chevalier
Ntm Tensorflow
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992
"Neural Turing Machine" in Tensorflow
Cnn_graph
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991
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
Adventures In Ml Code
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989
This repository holds all the code for the site http://www.adventuresinmachinelearning.com
Tensorflow Programs And Tutorials
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981
Implementations of CNNs, RNNs, GANs, etc
Tutorials
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847
AIrelated tutorials. Access any of them for free → https://towardsai.net/editorial
Tensorflow Livelessons
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752
"Deep Learning with TensorFlow" LiveLessons
Pyhessian
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600
PyHessian is a Pytorch library for secondorder based analysis and training of Neural Networks
Cs231
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571
My corrections for the Standford class assingments CS231n  Convolutional Neural Networks for Visual Recognition
Deep Learning Illustrated
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543
Deep Learning Illustrated (2020)
Deeplearning.ai Natural Language Processing Specialization
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523
This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and Łukasz Kaiser offered by deeplearning.ai
Dynamic Tensorflow Tutorial
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515
Tensorflow tutorial of building different dynamic recurrent neural network
Deeplearning.ai
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503
Some work of Andrew Ng's course on Coursera
Tensorflow Eager Tutorials
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502
Simple tutorials for building neural networks with TensorFlow Eager mode.
Machine_learning_and_deep_learning
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492
Coursera Deep Learning
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491
Solutions to all quiz and all the programming assignments!!!
Multilabel Timeseries Classification With Lstm
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487
Tensorflow implementation of paper: Learning to Diagnose with LSTM Recurrent Neural Networks.
Nothotdog Classifier
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475
What would you say if I told you there is a app on the market that tell you if you have a hotdog or not a hotdog.
Tensorflow_chessbot
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471
Predict chessboard FEN layouts from images using TensorFlow
Augmented Neural Odes
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463
Pytorch implementation of Augmented Neural ODEs 🌻
Neural Turing Machines
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458
Attempt at implementing system described in "Neural Turing Machines." by Graves, Alex, Greg Wayne, and Ivo Danihelka. (http://arxiv.org/abs/1410.5401)
Svcca
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429
Musicnn
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427
Pronounced as "musician", musicnn is a set of pretrained deep convolutional neural networks for music audio tagging.
Tutorials
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415
Anlp19
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409
Course repo for Applied Natural Language Processing (Spring 2019)
Pytorch Ntm
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398
Neural Turing Machines (NTM)  PyTorch Implementation
Neural Style Audio Tf
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398
TensorFlow implementation for audio neural style.
Graph Neural Networks
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392
Stat453 Deep Learning Ss20
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370
STAT 453: Intro to Deep Learning @ UWMadison (Spring 2020)
Iclr2019 Openreviewdata
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366
Script that crawls meta data from ICLR OpenReview webpage. Tutorials on installing and using Selenium and ChromeDriver on Ubuntu.
Iclr2021 Openreviewdata
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365
Crawl & visualize ICLR papers and reviews.
Stat479 Deep Learning Ss19
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364
Course material for STAT 479: Deep Learning (SS 2019) at University WisconsinMadison
Hamiltorch
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357
PyTorchbased library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks
Computer Vision
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354
Programming Assignments and Lectures for Stanford's CS 231: Convolutional Neural Networks for Visual Recognition
Deep Learning In Python
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353
Handson, practical knowledge of how to use neural networks and deep learning with Keras 2.0
Action Recognition Visual Attention
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338
Action recognition using soft attention based deep recurrent neural networks
Cryptocurrency Price Prediction
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337
Cryptocurrency Price Prediction Using LSTM neural network
Convolutional_neural_network
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337
This is the code for "Convolutional Neural Networks  The Math of Intelligence (Week 4)" By Siraj Raval on Youtube
Artistic Style Transfer
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327
Convolutional neural networks for artistic style transfer.
Neural Networks And Deep Learning
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325
This is my assignment on Andrew Ng's course “neural networks and deep learning”
Pytorchneuralstyletransfer
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315
Implementation of Neural Style Transfer in Pytorch
Scratch_mlp
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290
Explaining the Math of how neural networks learn
Kekoxtutorial
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289
전 세계의 멋진 케라스 문서 및 튜토리얼을 한글화하여 케라스x코리아를 널리널리 이롭게합니다.
Deeplearning.ai Assignments
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286
Cs231
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276
Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition
Deeplearning.ai Notes
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271
These are my notes which I prepared during deep learning specialization taught by AI guru Andrew NG. I have used diagrams and code snippets from the code whenever needed but following The Honor Code.
Lrp_toolbox
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270
The LRP Toolbox provides simple and accessible standalone implementations of LRP for artificial neural networks supporting Matlab and Python. The Toolbox realizes LRP functionality for the Caffe Deep Learning Framework as an extension of Caffe source code published in 10/2015.
Neural Ode
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259
Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations
Neural Painters
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258
Cs231n
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258
My assignment solutions for CS231n  Convolutional Neural Networks for Visual Recognition
Styletransfertrilogy
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254
风格迁移三部曲
Study Group
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254
Deep Learning Study Group
Keras Tutorials
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251
Simple tutorials using Keras Framework
Slayerpytorch
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250
PyTorch implementation of SLAYER for training Spiking Neural Networks
Deep Learning From Scratch
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250
Six snippets of code that made deep learning what it is today.
Place Recognition Using Autoencoders And Nn
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250
Place recognition with WiFi fingerprints using Autoencoders and Neural Networks
Neural_decoding
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242
A python package that includes many methods for decoding neural activity
Machine Learning Notebooks
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241
Machine Learning notebooks for refreshing concepts.
Enet Real Time Semantic Segmentation
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241
ENet  A Neural Net Architecture for real time Semantic Segmentation
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