Awesome Open Source
Search
Programming Languages
Languages
All Categories
Categories
About
Search results for jupyter notebook network
jupyternotebook
x
network
x
1,209 search results found
Tensorflow Examples
⭐
43,109
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Machine Learning Notes
⭐
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
⭐
7,372
Build your neural network easy and fast, 莫烦Python中文教学
Tensorflow Tutorials
⭐
5,861
Simple tutorials using Google's TensorFlow Framework
T81_558_deep_learning
⭐
5,590
T81558: Keras  Applications of Deep Neural Networks @Washington University in St. Louis
Tensorflow_tutorials
⭐
5,548
From the basics to slightly more interesting applications of Tensorflow
Deep Learning Coursera
⭐
5,253
Deep Learning Specialization by Andrew Ng on Coursera.
Deep Learning V2 Pytorch
⭐
4,973
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deeplearningnanod
Unet
⭐
4,218
unet for image segmentation
Ssd Tensorflow
⭐
4,049
Single Shot MultiBox Detector in TensorFlow
Deep Learning
⭐
3,957
Repo for the Deep Learning Nanodegree Foundations program.
D2l Pytorch
⭐
3,933
This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.
Practicalai Cn
⭐
3,150
AI实战practicalAI 中文版
Deep Learning Book
⭐
2,650
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
Mxnet The Straight Dope
⭐
2,507
An interactive book on deep learning. Much easy, so MXNet. Wow. [Straight Dope is growing up] > Much of this content has been incorporated into the new Dive into Deep Learning Book available at https://d2l.ai/.
Coursera Deep Learning Specialization
⭐
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
⭐
2,321
A clear, concise, simple yet powerful and efficient API for deep learning.
Tensorflow Without A Phd
⭐
2,220
A crash course in six episodes for software developers who want to become machine learning practitioners.
Neural Tangents
⭐
2,149
Fast and Easy Infinite Neural Networks in Python
Deeprl Agents
⭐
2,004
A set of Deep Reinforcement Learning Agents implemented in Tensorflow.
Exercise
⭐
1,927
exercise for nndl
Tensorflow2.0 Examples
⭐
1,692
🙄 Difficult algorithm, Simple code.
Machine Learning Experiments
⭐
1,552
🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo
Snns
⭐
1,513
Tutorials and implementations for "Selfnormalizing networks"
Cadl
⭐
1,455
Course materials/Homework materials for the FREE MOOC course on "Creative Applications of Deep Learning w/ Tensorflow" #CADL
Data Science 45min Intros
⭐
1,434
Ipython notebook presentations for getting starting with basic programming, statistics and machine learning techniques
Andrew Ng Notes
⭐
1,367
This is Andrew NG Coursera Handwritten Notes.
Ilearndeeplearning.py
⭐
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
⭐
1,285
Supporting code for short YouTube series Neural Networks Demystified.
Deep Learning Coursera
⭐
1,236
Deep Learning Specialization by Andrew Ng, deeplearning.ai.
Info8010 Deep Learning
⭐
1,166
Lectures for INFO8010  Deep Learning, ULiège
One Pixel Attack Keras
⭐
1,078
Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet
Deep Learning With Keras
⭐
1,041
Code repository for Deep Learning with Keras published by Packt
Seq2seq Signal Prediction
⭐
1,036
Signal forecasting with a SequencetoSequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow  Guillaume Chevalier
T Gcn
⭐
1,011
Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method
Batfish
⭐
1,005
Batfish is a network configuration analysis tool that can find bugs and guarantee the correctness of (planned or current) network configurations. It enables network engineers to rapidly and safely evolve their network, without fear of outages or security breaches.
Coloring Greyscale Images
⭐
997
Coloring black and white images with deep learning.
Cnn_graph
⭐
991
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
Network Analysis Made Simple
⭐
991
An introduction to network analysis and applied graph theory using Python and NetworkX
Adventures In Ml Code
⭐
989
This repository holds all the code for the site http://www.adventuresinmachinelearning.com
Semanticsegmentation_dl
⭐
983
Resources of semantic segmantation based on Deep Learning model
Tensorflow Programs And Tutorials
⭐
981
Implementations of CNNs, RNNs, GANs, etc
Hands On Meta Learning With Python
⭐
857
Learning to Learn using OneShot Learning, MAML, Reptile, MetaSGD and more with Tensorflow
Gans
⭐
776
Generative Adversarial Networks implemented in PyTorch and Tensorflow
Tensorflow Livelessons
⭐
752
"Deep Learning with TensorFlow" LiveLessons
Clstm
⭐
737
A small C++ implementation of LSTM networks, focused on OCR.
Graph_transformer_networks
⭐
694
Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)
Capsule Network Tutorial
⭐
678
Pytorch easytofollow Capsule Network tutorial
Facial Similarity With Siamese Networks In Pytorch
⭐
620
Implementing Siamese networks with a contrastive loss for similarity learning
Transportationnetworks
⭐
618
Transportation Networks for Research
Quaternet
⭐
614
Proposes neural networks that can generate animation of virtual characters for different actions.
Diracnets
⭐
582
Training Very Deep Neural Networks Without SkipConnections
Embeddedsystem
⭐
572
📚 计算机体系架构、嵌入式系统基础与主流编程语言相关内容总结
Cs231
⭐
571
My corrections for the Standford class assingments CS231n  Convolutional Neural Networks for Visual Recognition
Bnn Pynq
⭐
562
Quantized Neural Networks (QNNs) on PYNQ
Deep Learning Illustrated
⭐
543
Deep Learning Illustrated (2020)
Deeplearning.ai
⭐
503
Some work of Andrew Ng's course on Coursera
Tensorflow Eager Tutorials
⭐
502
Simple tutorials for building neural networks with TensorFlow Eager mode.
Ternausnetv2
⭐
500
TernausNetV2: Fully Convolutional Network for Instance Segmentation
Coursera Deep Learning
⭐
491
Solutions to all quiz and all the programming assignments!!!
Megnet
⭐
444
Graph Networks as a Universal Machine Learning Framework for Molecules and Crystals
Svcca
⭐
429
Urban Sound Classification
⭐
427
Urban sound classification using Deep Learning
Xlearn
⭐
409
Transfer Learning Library
Bnlearn
⭐
406
Python library for learning the graphical structure of Bayesian networks, parameter learning, inference and sampling methods.
Dl4g
⭐
404
Example code for the Siggraph Asia Tutorial CreativeAI
Tensorflow Multigpu Vae Gan
⭐
399
A single jupyter notebook multi gpu VAEGAN example with latent space algebra and receptive field visualizations.
Pytorch Ntm
⭐
398
Neural Turing Machines (NTM)  PyTorch Implementation
Graph Neural Networks
⭐
392
Instcolorization
⭐
385
Eco Efficient Video Understanding
⭐
371
Code and models of paper " ECO: Efficient Convolutional Network for Online Video Understanding", ECCV 2018
Deep Learning Har
⭐
371
Convolutional and LSTM networks to classify human activity
Stat453 Deep Learning Ss20
⭐
370
STAT 453: Intro to Deep Learning @ UWMadison (Spring 2020)
Iclr2019 Openreviewdata
⭐
366
Script that crawls meta data from ICLR OpenReview webpage. Tutorials on installing and using Selenium and ChromeDriver on Ubuntu.
Stat479 Deep Learning Ss19
⭐
364
Course material for STAT 479: Deep Learning (SS 2019) at University WisconsinMadison
Timeseries_seq2seq
⭐
362
This repo aims to be a useful collection of notebooks/code for understanding and implementing seq2seq neural networks for time series forecasting. Networks are constructed with keras/tensorflow.
Dl_pytorch
⭐
361
Code for the Deep Learning with PyTorch lesson
Advanced Tensorflow
⭐
358
Little More Advanced TensorFlow Implementations
Computer Vision
⭐
354
Programming Assignments and Lectures for Stanford's CS 231: Convolutional Neural Networks for Visual Recognition
Deep Learning In Python
⭐
353
Handson, practical knowledge of how to use neural networks and deep learning with Keras 2.0
Deepnetsforeo
⭐
342
Deep networks for Earth Observation
Convolutional_neural_network
⭐
337
This is the code for "Convolutional Neural Networks  The Math of Intelligence (Week 4)" By Siraj Raval on Youtube
Cryptocurrency Price Prediction
⭐
337
Cryptocurrency Price Prediction Using LSTM neural network
How To Read Pytorch
⭐
325
Quick, visual, principled introduction to pytorch code through five colab notebooks.
Neural Networks And Deep Learning
⭐
325
This is my assignment on Andrew Ng's course “neural networks and deep learning”
Glasses
⭐
311
Highquality Neural Networks for Computer Vision 😎
G Darknet
⭐
307
darknet with GIoU
Fips
⭐
299
The Filecoin Improvement Proposal repository
Firstcoursenetworkscience
⭐
290
Tutorials, datasets, and other material associated with textbook "A First Course in Network Science" by Menczer, Fortunato & Davis
Scratch_mlp
⭐
290
Explaining the Math of how neural networks learn
Deeplearning.ai Assignments
⭐
286
Cs231
⭐
276
Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition
Unrolled_gan
⭐
268
Unrolled Generative Adversarial Networks
Ndlib
⭐
259
Network Diffusion Library  (for NetworkX and iGraph)
Cs231n
⭐
258
My assignment solutions for CS231n  Convolutional Neural Networks for Visual Recognition
Study Group
⭐
254
Deep Learning Study Group
Computation Thru Dynamics
⭐
253
Understanding computation in artificial and biological recurrent networks through the lens of dynamical systems.
Capsule_net_pytorch
⭐
250
Readable implementation of a Capsule Network as described in "Dynamic Routing Between Capsules" [Hinton et. al.]
Agentpy
⭐
235
AgentPy is an opensource framework for the development and analysis of agentbased models in Python.
Fusenet
⭐
233
Deep fusion project of deeplyfused nets, and the study on the connection to ensembling
Related Searches
Python Jupyter Notebook (12,976)
Python Network (11,547)
Jupyter Notebook Machine Learning (8,463)
Neural Network (7,750)
Jupyter Notebook Dataset (6,824)
Jupyter Notebook Deep Learning (6,566)
Jupyter Notebook Tensorflow (4,771)
Jupyter Notebook Data Science (4,256)
Jupyter Notebook Neural (3,926)
Jupyter Notebook Pytorch (3,877)
1100 of 1,209 search results
Next >
Privacy

About

Terms

Follow Us On Twitter
Copyright 20182024 Awesome Open Source. All rights reserved.