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100 Days of ML Coding
A curated list of awesome Python frameworks, libraries, software and resources
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
Credit Risk analysis by using Python and ML
Github.com/CryptoSignal - #1 Quant Trading & Technical Analysis Bot - 2,100 + stars, 580 + forks
Built a deep neural network that functions as part of an end-to-end automatic speech recognition (ASR) pipeline.
RStudio add-in to make plots with ggplot2
The fastai deep learning library, plus lessons and and tutorials
Jupyter notebook for performing price predictions of stock data using Facebook's Prophet package.
This project commissions to examine the 100,000 credit card application data, detect abnormality and potential fraud in the dataset. All data manipulation and analysis are conducted in R. Featured analysis methods include Principal Component Analysis (PCA), Heuristic Algorithm and Autoencoder.
My implementation of Batch, Stochastic & Mini-Batch Gradient Descent Algorithm using Python
Libraโs mission is to enable a simple global currency and financial infrastructure that empowers billions of people.
Lightpack and Prismatik open repository
Machine Learning in Asset Management
Python code for common Machine Learning Algorithms
A collection of stock market resources and tools
Tidy data structures, summaries, and visualisations for missing data
PyTorch implementations of recent optimization algorithms for deep learning.
A small library to access files from SEC's edgar
All Algorithms implemented in Python
A collection of design patterns/idioms in Python
Augmento sentiment data quickstart and research
Quantitative research and educational materials
This is the collection of my own SAS utility macros/ sample code over my past 10 years of SAS programming and analysis experience.
A Jupyter kernel for SAS. This opens up all the data manipulation and analytics capabilities of your SAS system within a notebook interface. Use the Jupyter Notebook interface to execute SAS code and view results inline.
TensorFlow Tutorial and Examples for Beginners with Latest APIs
Capstone project of the NLP nanodegree from Udacity: Speech recognizer able to transform voice to text
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ 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. ๐๐๐
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 โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.