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Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
This is the code for "Reinforcement Learning for Stock Prediction" By Siraj Raval on Youtube
This is the code for "Research to Code" By Siraj Raval on Youtube
Finding Paul Revere
Code for Deep RL from Human Preferences [Christiano et al]. Plus a webapp for collecting human feedback
Code for the Structural Agnostic Model (https://arxiv.org/abs/1803.04929)
Lecture notes and code
⛏ a library for scraping things
This is the code for "Serverless Computing with Google Cloud" By Siraj Raval on Youtube
A unified approach to explain the output of any machine learning model.
RStudio Project Templates for Shinyapps
Python Library for Model Interpretation/Explanations
An in-depth data analysis and data visualization project for Spotify Artists' "This Is" playlist series
This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
Offered by ESSEC Business School via Coursera
T2F: text to face generation using Deep Learning
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
Debugging, monitoring and visualization for Python Machine Learning and Data Science
Implementation of a text clustering algorithm using Kmeans clustering in order to derive quick insights from unstructured text
Interpretability Methods for tf.keras models with Tensorflow 2.0
This is the code "The Neural Qubit", the quantum machine learning research paper & video by Siraj Raval
To Trust Or Not To Trust A Classifier. A measure of uncertainty for any trained (possibly black-box) classifier which is more effective than the classifier's own implied confidence (e.g. softmax probability for a neural network).
Twitter hashtag prediction
All my notes from the classes I've taken at UCLA
TensorFlow code for Unsupervised Data Augmentation (UDA)
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow
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.