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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

T81-558: 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/deep-learning-nanod

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

Tutorials and implementations for "Self-normalizing networks"

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 Sequence-to-Sequence (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 One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow

Generative Adversarial Networks implemented in PyTorch and Tensorflow

Tensorflow Livelessons ⭐ 752

"Deep Learning with TensorFlow" LiveLessons

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 easy-to-follow 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 Skip-Connections

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

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!!!

Graph Networks as a Universal Machine Learning Framework for Molecules and Crystals

Urban Sound Classification ⭐ 427

Urban sound classification using Deep Learning

Transfer Learning Library

Bnlearn ⭐ 406

Python library for learning the graphical structure of Bayesian networks, parameter learning, inference and sampling methods.

Example code for the Siggraph Asia Tutorial CreativeAI

Tensorflow Multigpu Vae Gan ⭐ 399

A single jupyter notebook multi gpu VAE-GAN 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 @ UW-Madison (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 Wisconsin-Madison

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

Hands-on, 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

High-quality Neural Networks for Computer Vision 😎

G Darknet ⭐ 307

darknet with GIoU

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

Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition

Unrolled_gan ⭐ 268

Unrolled Generative Adversarial Networks

Network Diffusion Library - (for NetworkX and iGraph)

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 open-source framework for the development and analysis of agent-based models in Python.

Fusenet ⭐ 233

Deep fusion project of deeply-fused nets, and the study on the connection to ensembling

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