Awesome List Updates on Jul 28, 2017

13 awesome lists updated today.

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1. Awesome Theravada

Videos / YouTube Channels

• Dhamma in English - Live talks and Q&A with lay visitors from around the world. (English)

• PhraSuchart Live - Live talks and Q&A with lay visitors from around the world. (Thai - ไทย)

2. Awesome Fp Js

Libraries

• zen-signals (⭐51) – ☯ The simplest signal library possible

Functional Languages that Compile to JavaScript / Lenses

• ion (⭐80) - no BS JS

3. Awesome Ruby

API Builder and Discovery

• jsonapi-rb – Efficient and convenient JSON API (de)serialization library.

4. Awesome Preact

Contents / Boilerplates

• Official Boilerplate (⭐974) - Ready-to-rock Preact starter project, powered by Webpack.

• Preact Simple Starter (⭐64) - PWA Simple Starter with Preact, Preact-mdl and Webpack2.

• Preact PWA (⭐510) - PWA focused on raw performance, server side rendering, prerendering, redux, express, rollup.

Contents / Routing

• Preact Router (⭐1k) - URL router for Preact.

Contents / Components

• Preact Token Input (⭐62) - Text field that tokenizes input, for things like tags.

• Preact Virtual List (⭐224) - Easily render lists with millions of rows (demo).

• Preact Layout - Small and simple layout library.

• Preact Socrates (⭐16) - Preact plugin for Socrates (⭐580).

• Preact Flyd (⭐11) - Use flyd (⭐1.6k) FRP streams in Preact + JSX.

• Preact I18nline (⭐38) - Integrates the ecosystem around i18n-js (⭐10) with Preact via i18nline (⭐19).

• Preact Classless Component (⭐44) - Create preact components without the class keyword.

• Preact Hyperscript (⭐31) - Hyperscript-like syntax for creating elements.

• Shallow Compare (⭐34) - Simplified shouldComponentUpdate helper.

• Preact Codemod (⭐40) - Transform your React code to Preact.

• Preact Helmet (⭐82) - A document head manager for Preact.

• Preact Delegate (⭐19) - Delegate DOM events.

• Preact No SSR (⭐8) - Skip Server Side Rendering of Components.

Contents / Articles

• Building a Small PWA with Preact and Firebase

• Authentication with Auth0

Contents / Example Apps

• Colors App (⭐98) - PWA for copying values from popular color palettes. Supports HEX, RGB, and HSL formats.

• Tracks (⭐16) - PWA for tracking things in general. Gdrive Sync.

Contents / Related Libraries

• Rax (⭐8k) - A universal React-compatible render engine.

5. Awesome Android

GUI / Navigation

• RecyclerTabLayout (⭐1.3k) - An efficient TabLayout library implemented with RecyclerView.

6. Awesome AutoHotkey

Networking / Web

• Socket.ahk (⭐51) - by GeekDude - Socket library based on Bentschi's - Forum link

• WebSocket.ahk (⭐43) - by GeekDude - Class based WebSocket library - Forum link

7. Awesome No Login Web Apps

Programming Tools / Others

• CSS Autoprefixer - A postprocessor for handling vendor prefixes in CSS. Just paste the regular CSS and get the vendor prefix handled CSS instantly.

8. Awesome Malware Analysis

Miscellaneous / Other Resources

• FLARE VM (⭐6.1k) - A fully customizable, Windows-based, security distribution for malware analysis.

9. Awesome Pentest

Side-channel Tools / Reverse Engineering Tools

• ChipWhisperer - Complete open-source toolchain for side-channel power analysis and glitching attacks.

10. Awesome Deep Learning Resources

Posts and Articles

• Predictions made by Ray Kurzweil - List of mid to long term futuristic predictions made by Ray Kurzweil.

• The Unreasonable Effectiveness of Recurrent Neural Networks - MUST READ post by Andrej Karpathy - this is what motivated me to learn RNNs, it demonstrates what it can achieve in the most basic form of NLP.

• Neural Networks, Manifolds, and Topology - Fresh look on how neurons map information.

• Understanding LSTM Networks - Explains the LSTM cells' inner workings, plus, it has interesting links in conclusion.

• Recommending music on Spotify with deep learning - Awesome for doing clustering on audio - post by an intern at Spotify.

• Announcing SyntaxNet: The World’s Most Accurate Parser Goes Open Source - Parsey McParseface's birth, a neural syntax tree parser.

• Improving Inception and Image Classification in TensorFlow - Very interesting CNN architecture (e.g.: the inception-style convolutional layers is promising and efficient in terms of reducing the number of parameters).

• WaveNet: A Generative Model for Raw Audio - Realistic talking machines: perfect voice generation.

• François Chollet's Twitter - Author of Keras - has interesting Twitter posts and innovative ideas.

• Migrating to Git LFS for Developing Deep Learning Applications with Large Files - Easily manage huge files in your private Git projects.

• The future of deep learning - François Chollet's thoughts on the future of deep learning.

• Discover structure behind data with decision trees - Grow decision trees and visualize them, infer the hidden logic behind data.

Practical Resources / Librairies and Implementations

• skflow (⭐3.2k) - TensorFlow wrapper à la scikit-learn.

• carpedm20's repositories - Many interesting neural network architectures are implemented by the Korean guy Taehoon Kim, A.K.A. carpedm20.

• carpedm20/NTM-tensorflow (⭐1k) - Neural Turing Machine TensorFlow implementation.

• Deep learning for lazybones - Transfer learning tutorial in TensorFlow for vision from high-level embeddings of a pretrained CNN, AlexNet 2012.

• LSTM for Human Activity Recognition (HAR) (⭐3.1k) - Tutorial of mine on using LSTMs on time series for classification.

• Deep stacked residual bidirectional LSTMs for HAR (⭐280) - Improvements on the previous project.

• Sequence to Sequence (seq2seq) Recurrent Neural Network (RNN) for Time Series Prediction (⭐1k) - Tutorial of mine on how to predict temporal sequences of numbers - that may be multichannel.

• ML / DL repositories I starred - GitHub is full of nice code samples & projects.

Practical Resources / Some Datasets

• UCI Machine Learning Repository - TONS of datasets for ML.

• Cornell Movie--Dialogs Corpus - This could be used for a chatbot.

• SQuAD The Stanford Question Answering Dataset - Question answering dataset that can be explored online, and a list of models performing well on that dataset.

• LibriSpeech ASR corpus - Huge free English speech dataset with balanced genders and speakers, that seems to be of high quality.

• Awesome Public Datasets (⭐52k) - An awesome list of public datasets.

Other Math Theory / Gradient Descent Algorithms & Optimization Theory

• Yes you should understand backprop - Exposing backprop's caveats and the importance of knowing that while training models.

• Artificial Neural Networks: Mathematics of Backpropagation - Picturing backprop, mathematically.

• Deep Learning Lecture 12: Recurrent Neural Nets and LSTMs - Unfolding of RNN graphs is explained properly, and potential problems about gradient descent algorithms are exposed.

• Gradient descent algorithms in a saddle point - Visualize how different optimizers interacts with a saddle points.

• Gradient descent algorithms in an almost flat landscape - Visualize how different optimizers interacts with an almost flat landscape.

• Gradient Descent - Okay, I already listed Andrew NG's Coursera class above, but this video especially is quite pertinent as an introduction and defines the gradient descent algorithm.

• Gradient Descent: Intuition - What follows from the previous video: now add intuition.

• Gradient Descent in Practice 2: Learning Rate - How to adjust the learning rate of a neural network.

• The Problem of Overfitting - A good explanation of overfitting and how to address that problem.

• Diagnosing Bias vs Variance - Understanding bias and variance in the predictions of a neural net and how to address those problems.

• Self-Normalizing Neural Networks - Appearance of the incredible SELU activation function.

• Learning to learn by gradient descent by gradient descent - RNN as an optimizer: introducing the L2L optimizer, a meta-neural network.

Other Math Theory / Complex Numbers & Digital Signal Processing

• MathBox, Tools for Thought Graphical Algebra and Fourier Analysis - New look on Fourier analysis.

• How to Fold a Julia Fractal - Animations dealing with complex numbers and wave equations.

• Animate Your Way to Glory, Math and Physics in Motion - Convergence methods in physic engines, and applied to interaction design.

• Animate Your Way to Glory - Part II, Math and Physics in Motion - Nice animations for rotation and rotation interpolation with Quaternions, a mathematical object for handling 3D rotations.

• Filtering signal, plotting the STFT and the Laplace transform (⭐53) - Simple Python demo on signal processing.

Papers / Recurrent Neural Networks

• Deep Learning in Neural Networks: An Overview - You_Again's summary/overview of deep learning, mostly about RNNs.

• Bidirectional Recurrent Neural Networks - Better classifications with RNNs with bidirectional scanning on the time axis.

• Sequence to Sequence Learning with Neural Networks - 4 stacked LSTM cells of 1000 hidden size with reversed input sentences, and with beam search, on the WMT’14 English to French dataset.

• Exploring the Limits of Language Modeling - Nice recursive models using word-level LSTMs on top of a character-level CNN using an overkill amount of GPU power.

• Exploring the Depths of Recurrent Neural Networks with Stochastic Residual Learning - Basically, residual connections can be better than stacked RNNs in the presented case of sentiment analysis.

• Pixel Recurrent Neural Networks - Nice for photoshop-like "content aware fill" to fill missing patches in images.

Papers / Convolutional Neural Networks

• What is the Best Multi-Stage Architecture for Object Recognition? - Awesome for the use of "local contrast normalization".

• ImageNet Classification with Deep Convolutional Neural Networks - AlexNet, 2012 ILSVRC, breakthrough of the ReLU activation function.

• Visualizing and Understanding Convolutional Networks - For the "deconvnet layer".

• Fast and Accurate Deep Network Learning by Exponential Linear Units - ELU activation function for CIFAR vision tasks.

• Going Deeper with Convolutions - GoogLeNet: Appearance of "Inception" layers/modules, the idea is of parallelizing conv layers into many mini-conv of different size with "same" padding, concatenated on depth.

• Highway Networks - Highway networks: residual connections.

• Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift - Batch normalization (BN): to normalize a layer's output by also summing over the entire batch, and then performing a linear rescaling and shifting of a certain trainable amount.

• Deep Residual Learning for Image Recognition - Very deep residual layers with batch normalization layers - a.k.a. "how to overfit any vision dataset with too many layers and make any vision model work properly at recognition given enough data".

• Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning - For improving GoogLeNet with residual connections.

• WaveNet: a Generative Model for Raw Audio - Epic raw voice/music generation with new architectures based on dilated causal convolutions to capture more audio length.

• Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling - 3D-GANs for 3D model generation and fun 3D furniture arithmetics from embeddings (think like word2vec word arithmetics with 3D furniture representations).

• Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour - Incredibly fast distributed training of a CNN.

YouTube and Videos / Other

• Attention Mechanisms in Recurrent Neural Networks (RNNs) - IGGG - A talk for a reading group on attention mechanisms (Paper: Neural Machine Translation by Jointly Learning to Align and Translate).

• Tensor Calculus and the Calculus of Moving Surfaces - Generalize properly how Tensors work, yet just watching a few videos already helps a lot to grasp the concepts.

• Deep Learning & Machine Learning (Advanced topics) - A list of videos about deep learning that I found interesting or useful, this is a mix of a bit of everything.

• Signal Processing Playlist - A YouTube playlist I composed about DFT/FFT, STFT and the Laplace transform - I was mad about my software engineering bachelor not including signal processing classes (except a bit in the quantum physics class).

• Computer Science - Yet another YouTube playlist I composed, this time about various CS topics.

• Siraj's Channel - Siraj has entertaining, fast-paced video tutorials about deep learning.

• Two Minute Papers' Channel - Interesting and shallow overview of some research papers, for example about WaveNet or Neural Style Transfer.

Misc. Hubs & Links / Other

• Hacker News - Maybe how I discovered ML - Interesting trends appear on that site way before they get to be a big deal.

• DataTau - This is a hub similar to Hacker News, but specific to data science.

• Naver - This is a Korean search engine - best used with Google Translate, ironically. Surprisingly, sometimes deep learning search results and comprehensible advanced math content shows up more easily there than on Google search.

• Arxiv Sanity Preserver - arXiv browser with TF/IDF features.

11. Awesome Swift

Animation

• Gemini (⭐3.2k) - Gemini is rich scroll based animation framework.

12. Awesome Tensorflow

Videos

• Tensorflow and deep learning - without at PhD, Part 2 (Google Cloud Next '17) - by Martin Görner

13. Awesome ad Free

Alternatives / Publications

• Ello - Media platform for creators and artists that does not sell user data.

• RealSport - Fans write articles on football, basketball, cricket, e-sports, motorsports, and most other sports out there. This site is committed to maintaining an experience free of pop-ups, fake news, click-bait, and ads.

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