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
keras implementation of AdamW from Fixing Weight Decay Regularization in Adam (https://arxiv.org/abs/1711.05101)
code for the paper "Adaptive classification for prediction under a budget", NIPS 2017
An adaptive model for prediction of one day ahead foreign currency exchange rates using machine learning algorithms
Implements an efficient softmax approximation as described in the paper "Efficient softmax approximation for GPUs" (http://arxiv.org/abs/1609.04309)
Python code for Kernel LMS (KLMS) algorithm with sklearn API. We also implemented neural spike kernels. We also have KLMS and Kernel PCA for neural spike data.
Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)
Advent of code
A simple python program for adding lyrics to all of your music library
Source for experiments in the Additive Gaussian process paper, as well as extensions relating to dropout.
Useful extra functionality for TensorFlow 2.x maintained by SIG-addons
Code for https://arxiv.org/abs/1611.10080
ADIOS: Architectures Deep In Output Space
Component wrapper for ADPAC (Advanced Ducted Propfan Analysis Code)
ads network analysis project with juan and jiheng
Kalman filtering routine in Python/numpy
My Implementation of the Anytime D* in C++
Trajectory optimization w/ draco act dynamics
Exploratory data analysis for the Adult or Census Income dataset from UCI Machine Learning Repository : https://archive.ics.uci.edu/ml/datasets/adult
Code for paper "Enhancing Stock Movement Prediction with Adversarial Training" IJCAI 2019
Coursework for Advanced Big Data Analytics class
Advanced Analytics with R and Tableau, published by Packt
💻 Material for a course on applied machine-learning for scientists. Taught at EPFL in spring 2017
File repository for the course [Advanced Deep Learning with Keras]. Packt Publishing.
Advanced Deep Learning with Keras, published by Packt
Mostly experiments based on "Advances in financial machine learning" book
Advanced Infrastructure Penetration Testing, published by Packt
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.