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reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

reinforcement_learning_for_stock_prediction

This is the code for "Reinforcement Learning for Stock Prediction" By Siraj Raval on Youtube

research_to_code

This is the code for "Research to Code" By Siraj Raval on Youtube

revere

Finding Paul Revere

rl-teacher

Code for Deep RL from Human Preferences [Christiano et al]. Plus a webapp for collecting human feedback

sam

Code for the Structural Agnostic Model (https://arxiv.org/abs/1803.04929)

samenvattr

schoolofai_enschede

Lecture notes and code

scrapelib

⛏ a library for scraping things

serverless_computing_with_google_cloud

This is the code for "Serverless Computing with Google Cloud" By Siraj Raval on Youtube

shap

A unified approach to explain the output of any machine learning model.

shinytemplate

RStudio Project Templates for Shinyapps

skater

Python Library for Model Interpretation/Explanations

spotify-artists-analysis

An in-depth data analysis and data visualization project for Spotify Artists' "This Is" playlist series

state-of-the-art-result-for-machine-learning-problems

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 If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year).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.

stock-prediction-models

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

strategic-business-analytics-specialization

Offered by ESSEC Business School via Coursera

t2f

T2F: text to face generation using Deep Learning

talkthewalk

tensor2tensor

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

tensorwatch

Debugging, monitoring and visualization for Python Machine Learning and Data Science

text-clustering-api

Implementation of a text clustering algorithm using Kmeans clustering in order to derive quick insights from unstructured text

tf-explain

Interpretability Methods for tf.keras models with Tensorflow 2.0

the-neural-qubit

This is the code "The Neural Qubit", the quantum machine learning research paper & video by Siraj Raval

trustscore

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).

tweet2vec

Twitter hashtag prediction

ucla-course-notes

All my notes from the classes I've taken at UCLA

uda

TensorFlow code for Unsupervised Data Augmentation (UDA)

xgboost

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