hamlet's repositories
deep-learning-ocean
:satellite: All You Need to Know About Deep Learning - A kick-starter
1m-go-websockets
handling 1M websockets connections in Go
arxiv-fulltext
arXiv fulltext extraction
darknet
Convolutional Neural Networks
deepbayes-2018
Seminars DeepBayes Summer School 2018
DeOldify
A Deep Learning based project for colorizing and restoring old images Using fastai
diff-zoo
Differentiation for Hackers
ewig
The eternal text editor — Didactic Ersatz Emacs to show immutable data-structures and the single-atom architecture
filter_scenes_by_faces
Filter video scenes by faces
FLI
A binary interface let Scheme use Python, Lua, Ruby etc's Library
flynn
A next generation open source platform as a service (PaaS)
Interplanetary-Postal-Service
Lunar lander type game with complex fluid dynamics
kbd-audio
Tools for capturing and analysing keyboard input paired with microphone capture
Lambert_GA_CALM
Created by Lambert iGEM // CALM, the Cholera Artificial Learning Model: a system of four extreme-gradient-boosting (XGBoost) machine learning models that, in tandem, are able to forecast the exact number of cholera cases any given Yemeni governorate will experience for multiple time intervals ranging from 2 weeks to 2 months.
lascar
Ledger's Advanced Side-Channel Analysis Repository
lumen
A Lisp for Lua and JavaScript
mk-tfjs
Play MK.js with TensorFlow.js
nlp_chinese_corpus
大规模中文自然语言处理语料 Large Scale Chinese Corpus for NLP
notes
Resources to learn more about Machine Learning and Artificial Intelligence
PlotNeuralNet
Latex code for making neural networks diagrams
quinn
Futures-based QUIC implementation in Rust
replikativ
A scalable distributive p2p system for confluent replicated data types.
s9fes
Scheme 9 from Empty Space (Reimagined)
stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
underrun
Twin stick shooter game in 13kb of JavaScript/WebGL
wasmjit
Kernel Mode WebAssembly Runtime for Linux
WaveFunctionCollapse
Bitmap & tilemap generation from a single example with the help of ideas from quantum mechanics.