mhamine Goto Github PK
Name: Amn
Type: User
Bio: H!
Amn's Projects
deep-learning-keras-projects
Deep Learning projects using Keras
deep-painterly-harmonization
Code and data for paper "Deep Painterly Harmonization": https://arxiv.org/abs/1804.03189
deep-rl-time-series
Playing trading games with deep reinforcement learning
deeplearningframeworks
Demo of running NNs across different frameworks
dendextend
Extending R's Dendrogram Functionality
deno
A secure TypeScript runtime on V8
developing_data_products
Developing Data Products Course from the Johns Hopkins Data Science Lab
diagrammer
Graph and network visualization using tabular data in R
dplyr
Dplyr: A grammar of data manipulation
drawille
Pixel graphics in terminal with unicode braille characters
earl-london-2017-bryan
Jenny Bryan talk at EARL London, 2017 September 12/13/14
econml
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
explorer
A lightweight ethereum block explorer
fakir
Create Fake Data in R
fast-shiny
My rstudio::conf 2018 presentation slides
fes
Code and Resources for "Feature Engineering and Selection: A Practical Approach for Predictive Models" by Kuhn and Johnson
fst
Lightning Fast Serialization of Data Frames for R
fuzzyjoin
Join tables together on inexact matching
geospatial
R package for data used in the Working with Geospatial Data in R DataCamp course
gganimate
Create easy animations with ggplot2
ggfittext
🔠 ggplot2 geoms to fit text into boxes
ggfortify
Define fortify and autoplot functions to allow ggplot2 to handle some popular R packages.
gglogo
R package for creating sequence logo plots
ggmcmc
Graphical tools for analyzing Markov Chain Monte Carlo simulations from Bayesian inference
ggplot2
An implementation of the Grammar of Graphics in R
ggplot2-book
The ggplot2 book
ggpy
ggplot port for python
ggrandomforests
Graphical analysis of random forests with the randomForestSRC, randomForest and ggplot2 packages.
ggsci
Scientific Journal and Sci-Fi Themed Color Palettes for ggplot2
ggtimeseries
Time series visualisation
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.