afcarl Goto Github PK
Name: Andrew Carl
Type: User
Bio: "GitHub AI Brain-of-Brains": https://2strikehitter.com/AI_BrainofBrains.html
Location: Las Vegas, Nevada, USA
Blog: https://afcarl.github.io
Name: Andrew Carl
Type: User
Bio: "GitHub AI Brain-of-Brains": https://2strikehitter.com/AI_BrainofBrains.html
Location: Las Vegas, Nevada, USA
Blog: https://afcarl.github.io
Using LSTM network for time series forecasting
LSTM for change point detection
LSTM and Hierarchical Attention Network on DSVM
Torch implementation of LSTM Language Modelling
LSTM-based language model in TensorFlow
LSTM used to integer addition
LSTM Parser for Syntactic Parsing, Syntax Based MT, and AMR parsing
Applying LSTM to Stock market prediction
An LSTM for time-series classification
Visualization Toolbox for Long Short Term Memory networks (LSTMs)
LSUN Dataset Documentation and Demo Code
A package to read and write CSV. Provides high-level database-like handlers.
An extension to Torch7's nn package.
Lua support for ANSI C signals
A Lua adapter to the NLopt nonlinear optimization libary (at http://ab-initio.mit.edu/wiki/index.php/NLopt)
Speech and Vision Based Intelligent Personal Assistant
Ludwig is a toolbox built on top of TensorFlow that allows to train and test deep learning models without the need to write code.
Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.
Short luigi tutorial covering creation of Tasks and Targets, parallel processing, and fault tolerance
Comparing Lump Sum vs. Dollar Cost Averaging strategies, a simple experiment
xUnit-style + randomized unit testing framework for Lua (and C projects using Lua, etc.)
Slides and material for lunchtalk at Kapteyn Institute 2018
The Data Science Bowl 2017 23rd place
Use torch in python for deep learning.
High-level Natural Language Processing (NLP) for Python.
Code for "How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks"
Website of Laurens van der Maaten
Listed Volatility and Variance Derivatives (Wiley Finance)
Slides/code for the Lisbon machine learning school 2017
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.