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Search results for jupyter notebook neural network
jupyternotebook
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neuralnetwork
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665 search results found
Annotated_deep_learning_paper_implementations
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41,877
🧑🏫 60 Implementations/tutorials of deep learning papers with sidebyside notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Handson Ml
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25,036
⛔️ DEPRECATED – See https://github.com/ageron/handsonml3 instead.
Pytorch Handbook
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18,594
pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友
Python Machine Learning Book
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11,645
The "Python Machine Learning (1st edition)" book code repository and info resource
Mit Deep Learning
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9,897
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
Tensorflow Tutorials
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8,644
TensorFlow Tutorials with YouTube Videos
Pytorch Tutorial
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7,372
Build your neural network easy and fast, 莫烦Python中文教学
Nyu Dlsp20
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6,652
NYU Deep Learning Spring 2020
Tensorflow_cookbook
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6,085
Code for Tensorflow Machine Learning Cookbook
T81_558_deep_learning
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5,590
T81558: Keras  Applications of Deep Neural Networks @Washington University in St. Louis
Tensorflow 2.x Tutorials
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5,496
TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, AutoEncoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。
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
Deep Reinforcement Learning
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4,635
Repo for the Deep Reinforcement Learning Nanodegree program
Edward
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4,503
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
Graph Based Deep Learning Literature
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4,418
links to conference publications in graphbased deep learning
Machine_learning_complete
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4,296
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
Super Gradients
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4,125
Easily train or finetune SOTA computer vision models with one open source training library. The home of YoloNAS.
Deeplearningproject
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4,043
An indepth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.
Probability
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4,028
Probabilistic reasoning and statistical analysis in TensorFlow
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.
Monodepth2
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3,762
[ICCV 2019] Monocular depth estimation from a single image
Machine_learning_basics
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3,754
Plain python implementations of basic machine learning algorithms
Alpha Zero General
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3,497
A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more
Ml Workspace
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3,197
🛠 Allinone webbased IDE specialized for machine learning and data science.
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"
Yolov3 Tf2
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2,501
YoloV3 Implemented in Tensorflow 2.0
Machine Learning Book
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2,474
Code Repository for Machine Learning with PyTorch and ScikitLearn
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
Deepnlp Models Pytorch
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2,372
Pytorch implementations of various Deep NLP models in cs224n(Stanford Univ)
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 Tangents
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2,149
Fast and Easy Infinite Neural Networks in Python
Machine Learning Specialization Coursera
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2,082
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai  Coursera (2022) by Prof. Andrew NG
Computer Vision In Action
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1,979
学习闭环《计算机视觉实战演练：算法与应用》中文电子书、源码、读者交流社区（持续更新中 ...） 📘 在线电子书 https://charmve.github.io/computervisioninactio 👇项目主页
Objectron
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1,958
Objectron is a dataset of short, objectcentric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse pointclouds and planes. In each video, the camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box describes the object’s position, orientation, and dimensions. The dataset contains about 15K annotated video clips and 4M annotated images in the following cat
Deeplearningfornlpinpytorch
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1,605
An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.
Machine_learning_refined
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1,574
Notes, examples, and Python demos for the 2nd edition of the textbook "Machine Learning Refined" (published by Cambridge University Press).
Opacus
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1,535
Training PyTorch models with differential privacy
Snns
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1,513
Tutorials and implementations for "Selfnormalizing networks"
Cadl
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1,455
Course materials/Homework materials for the FREE MOOC course on "Creative Applications of Deep Learning w/ Tensorflow" #CADL
Awesome Pytorch List Cnversion
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1,426
Awesomepytorchlist 翻译工作进行中......
Hyperlearn
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1,387
22000x faster ML algos, 50% less memory usage, works on all hardware  new and old.
Awesome Ai Ml Dl
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1,375
Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.
Andrew Ng Notes
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1,367
This is Andrew NG Coursera Handwritten Notes.
Knet.jl
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1,336
Koç University deep learning framework.
Zoedepth
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1,336
Metric depth estimation from a single image
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
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.
Mish
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1,269
Official Repository for "Mish: A Self Regularized NonMonotonic Neural Activation Function" [BMVC 2020]
4dgaussians
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1,243
4D Gaussian Splatting for RealTime Dynamic Scene Rendering
Info8010 Deep Learning
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1,166
Lectures for INFO8010  Deep Learning, ULiège
Geomstats
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1,113
Computations and statistics on manifolds with geometric structures.
Trulens
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1,109
Evaluation and Tracking for LLM Experiments
Transformers Interpret
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1,090
Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.
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
Lstmvis
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1,046
Visualization Toolbox for Long Short Term Memory networks (LSTMs)
Seq2seq Signal Prediction
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1,036
Signal forecasting with a SequencetoSequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow  Guillaume Chevalier
Cnn_graph
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991
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
Tensorflow 101
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987
TensorFlow 101: Introduction to Deep Learning
Tensorflow Programs And Tutorials
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981
Implementations of CNNs, RNNs, GANs, etc
Basic_reinforcement_learning
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978
An introductory series to Reinforcement Learning (RL) with comprehensive stepbystep tutorials.
Deep Learning In Production
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949
Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using handson examples.
Lovaszsoftmax
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941
Code for the LovászSoftmax loss (CVPR 2018)
Andrew Ng Deep Learning Notes
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862
吴恩达《深度学习》系列课程笔记及代码  Notes in Chinese for Andrew Ng Deep Learning Course
Tutorials
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847
AIrelated tutorials. Access any of them for free → https://towardsai.net/editorial
Breast_cancer_classifier
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804
Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening
Sciblog_support
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742
Support content for my blog
Jupyter
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696
The repository contains script and notebook related to Statistics, Machine learning, Neural network, Deep learning, NLP, Numerical methods, and Automation.
Edward2
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656
A simple probabilistic programming language.
Ai_all_resources
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647
A curated list of Best Artificial Intelligence Resources
Facial Similarity With Siamese Networks In Pytorch
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620
Implementing Siamese networks with a contrastive loss for similarity learning
Csrnet Pytorch
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618
CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes
Cs231
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571
My corrections for the Standford class assingments CS231n  Convolutional Neural Networks for Visual Recognition
Deep Learning Resources
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571
由淺入深的深度學習資源 Collection of deep learning materials for everyone
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
Bayesian Analysis Recipes
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510
A collection of Bayesian data analysis recipes using PyMC3
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.
Multilabel Timeseries Classification With Lstm
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487
Tensorflow implementation of paper: Learning to Diagnose with LSTM Recurrent Neural Networks.
Lava
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471
A Software Framework for Neuromorphic Computing
Blog
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459
Python机器学习算法技术博客，有原创干货！有code实践！ 【更多内容敬请关注公众号 "算法进阶"】
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.
Urban Sound Classification
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427
Urban sound classification using Deep Learning
Cn Deep Learning
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424
Gdrl
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422
Grokking Deep Reinforcement Learning
Artificial Intelligence
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408
Awesome Artificial Intelligence Projects
Mozart
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400
An optical music recognition (OMR) system. Converts sheet music to a machinereadable version.
Pytorch Ntm
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398
Neural Turing Machines (NTM)  PyTorch Implementation
Tf 2.0 Hacks
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379
Contains my explorations of TensorFlow 2.x
Stat453 Deep Learning Ss20
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370
STAT 453: Intro to Deep Learning @ UWMadison (Spring 2020)
Stat479 Deep Learning Ss19
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364
Course material for STAT 479: Deep Learning (SS 2019) at University WisconsinMadison
Timeseries_seq2seq
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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.
Hamiltorch
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357
PyTorchbased library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks
Human Activity Recognition Using Cnn
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355
Convolutional Neural Network for Human Activity Recognition in Tensorflow
Computer Vision
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354
Programming Assignments and Lectures for Stanford's CS 231: Convolutional Neural Networks for Visual Recognition
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