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Education

The "Awesome Education" project is a curated resource list designed to support educators, students, and lifelong learners in the field of education. This list encompasses a wide range of resources including online courses, teaching tools, educational technologies, research papers, and community forums. It serves as a valuable asset for both beginners and experienced educators seeking to enhance their teaching methods and learning experiences. Whether you're looking for innovative teaching strategies or comprehensive learning materials, this collection provides the tools necessary to foster effective education and inspire learners of all ages.

online-learningteaching-toolseducational-technologycurriculum-developmentstudent-resourceslifelong-learning
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Papers

The "Awesome Papers" project is a curated collection of the most cited and impactful research papers in the field of deep learning. This list encompasses seminal works, foundational theories, and groundbreaking advancements that have shaped the landscape of artificial intelligence. It includes categories such as neural network architectures, optimization techniques, and applications across various domains. Researchers, students, and practitioners can benefit from this resource by gaining insights into key developments and trends in deep learning. Dive into this collection to explore the pivotal studies that continue to drive innovation in AI and machine learning.

26.1k
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TensorFlow

The "Awesome TensorFlow" project is a curated collection of resources dedicated to TensorFlow, an open-source library for machine learning and artificial intelligence. This list encompasses a wide range of materials, including tutorials, guides, model repositories, tools, and community resources that facilitate the development and deployment of machine learning models. It is beneficial for beginners seeking to understand the fundamentals of machine learning, as well as experienced developers looking for advanced techniques and best practices. Users can explore various applications of TensorFlow, from image recognition to natural language processing, and find valuable insights to enhance their projects.

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TensorFlow Lite

The "Awesome TensorFlow Lite" project is a curated collection of resources focused on TensorFlow Lite, a lightweight solution for deploying machine learning models on mobile and edge devices. This list encompasses a variety of resources, including model optimization techniques, libraries, tools, tutorials, and community contributions that help developers implement efficient machine learning solutions. It is particularly beneficial for mobile app developers, data scientists, and machine learning practitioners looking to leverage on-device capabilities for their applications. Users can explore this collection to enhance their understanding and implementation of TensorFlow Lite, making it easier to create powerful, efficient machine learning applications on resource-constrained devices.

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TensorFlow.js

The "Awesome TensorFlow.js" project is a curated collection of resources dedicated to TensorFlow.js, a powerful library that enables machine learning in JavaScript environments, particularly in web browsers. This list encompasses a variety of resources including tutorials, examples, pre-trained models, tools for model conversion, and community support channels. It is designed to benefit developers of all skill levels, from beginners looking to understand the basics of machine learning to experienced practitioners seeking advanced techniques and tools. Users can explore innovative applications of machine learning in web development and enhance their projects with cutting-edge AI capabilities.

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Table of Contents

13 sections · 134 projects

Online Classes

7 projects
Machine Learning by Andrew Ng on Coursera

coursera.org
Deep Learning Specialization on Coursera

coursera.org
Deep Learning - Udacity/Google

udacity.com
Machine Learning for Trading by Georgia Tech

udacity.com
Neural networks class

youtube.com
GLO-4030/7030 Apprentissage par réseaux de neurones profonds

ulaval-damas.github.io
Deep Learning & Recurrent Neural Networks (DL&RNN)

neuraxio.com

Books

6 projects
Clean Code

amazon.ca
Clean Coder

amazon.ca
How to Create a Mind

amazon.com
Neural Networks and Deep Learning

neuralnetworksanddeeplearning.com
Deep Learning

deeplearningbook.org
Some other books I have read

books.google.ca

Posts and Articles

25 projects
Predictions made by Ray Kurzweil

en.wikipedia.org
The Unreasonable Effectiveness of Recurrent Neural Networks

karpathy.github.io
Neural Networks, Manifolds, and Topology

colah.github.io
Understanding LSTM Networks

colah.github.io
Attention and Augmented Recurrent Neural Networks

distill.pub
Recommending music on Spotify with deep learning

benanne.github.io
Announcing SyntaxNet: The World’s Most Accurate Parser Goes Open Source

research.googleblog.com
Improving Inception and Image Classification in TensorFlow

research.googleblog.com
WaveNet: A Generative Model for Raw Audio

deepmind.com
François Chollet's Twitter

twitter.com
Neuralink and the Brain’s Magical Future

waitbutwhy.com
Migrating to Git LFS

vooban.com
The future of deep learning

blog.keras.io
Discover structure behind data with decision trees

vooban.com
Hyperopt tutorial for Optimizing Neural Networks’ Hyperparameters

vooban.com
Estimating an Optimal Learning Rate For a Deep Neural Network

medium.com
The Annotated Transformer

nlp.seas.harvard.edu
The Illustrated Transformer

jalammar.github.io
Improving Language Understanding with Unsupervised Learning

blog.openai.com
NLP's ImageNet moment has arrived

thegradient.pub
The Illustrated BERT, ELMo, and co. (How NLP Cracked Transfer Learning)

jalammar.github.io
Uncle Bob's Principles Of OOD

butunclebob.com
Why do 87% of data science projects never make it into production?

venturebeat.com
The real reason most ML projects fail

towardsdatascience.com
SOLID Machine Learning

umaneo.com

Librairies and Implementations

15 projects
Tensorflow - Open source software library for numerical computation using data flow graphsTensorflow - Open source software library for numerical computation using data flow graphs

An end-to-end open source platform for machine learning with a comprehensive ecosystem of tools and libraries.

#research-tool#neural-network#distributed
Stars201,209
Forks79,839
Last commit6 hours ago
skflowskflow

Stars3,165
Forks436
Last commit5 years ago
Keras

keras.io
carpedm20's repositories

github.com
Neural Turing Machine in TensorFlowNeural Turing Machine in TensorFlow

TensorFlow implementation of Neural Turing Machines with LSTM controllers, supporting multiple read/write heads.

#neural-turing-machine#sequence-learning#memory-augmented-networks
Stars1,047
Forks211
Last commit9 years ago
Deep learning for lazybones

oduerr.github.io
Classification on raw time series in TensorFlow with a LSTM RNNClassification on raw time series in TensorFlow with a LSTM RNN

Human Activity Recognition using TensorFlow and LSTM RNNs on smartphone sensor data to classify six movement types.

#neural-network#human-activity-recognition#deep-learning
Stars3,488
Forks930
Last commit4 years ago
Deep stacked residual bidirectional LSTMs for HARDeep stacked residual bidirectional LSTMs for HAR

A deep learning architecture using stacked residual bidirectional LSTM cells with TensorFlow for human activity recognition from sensor data.

#wearable-sensors#human-activity-recognition#deep-learning
Stars322
Forks96
Last commit4 years ago
Predict time seriesPredict time series

A TensorFlow-based educational project for learning seq2seq RNNs through signal forecasting exercises.

#sequence-to-sequence#educational#time-series-forecasting
Stars1,083
Forks286
Last commit3 years ago
Hyperopt for a Keras CNN on CIFAR-100Hyperopt for a Keras CNN on CIFAR-100

A tutorial and demo using Hyperopt to auto-optimize CNN architecture and hyperparameters for the CIFAR-100 dataset with Keras/TensorFlow.

#hyperparameter-optimization#hyperparameter-tuning#hyperparameters-optimization
Stars108
Forks73
Last commit8 years ago
ML / DL repositories I starred

github.com
Smoothly Blend Image PatchesSmoothly Blend Image Patches

A Python algorithm for smoothly blending U-Net image segmentation patches using spline interpolation and batch prediction.

#batch-prediction#neural-networks#u-net
Stars0
Forks1
Last commit9 years ago
Self Governing Neural Networks (SGNN): the Projection LayerSelf Governing Neural Networks (SGNN): the Projection Layer

A scikit-learn pipeline implementing the projection layer of Self-Governing Neural Networks (SGNN) using character n-grams and random hashing.

#random-projection#neural-networks#natural-language-processing
Stars22
Forks3
Last commit4 years ago
Neuraxle - A general-purpose ML pipelining frameworkNeuraxle - A general-purpose ML pipelining framework

#pipeline-framework#hyperparameter-optimization#hyperparameter-tuning
Stars612
Forks62
Last commit8 months ago
Clean Machine Learning, a Coding KataClean Machine Learning, a Coding Kata

A coding exercise to refactor messy machine learning code into clean, modular pipelines using the Pipe and Filter design pattern.

#educational#design-patterns#python
Stars18
Forks7
Last commit4 years ago

Some Datasets

7 projects
UCI Machine Learning Repository

archive.ics.uci.edu
Cornell Movie--Dialogs Corpus

cs.cornell.edu
SQuAD

rajpurkar.github.io
LibriSpeech ASR corpus

openslr.org
Public DatasetsPublic Datasets

#datasets#opendata#aaron-swartz
Stars79,638
Forks11,904
Last commit14 hours ago
SentEval: An Evaluation Toolkit for Universal Sentence Representations

arxiv.org
ParlAI: A Dialog Research Software Platform

arxiv.org