This is a repository of a topic-centric public data sources in high quality for Recommender Systems (RS)
Attempting to make the Deep Learning Book easier to understand.
Public runnable examples of using John Snow Labs' NLP for Apache Spark.
"Neural Turing Machine" in Tensorflow
The Hitchhiker's Guide to Data Science for Social Good
Seminars DeepBayes Summer School 2018
A collection of Reinforcement Learning algorithms from Sutton and Barto's book and other research papers implemented in Python.
A 3D Gaussian Splatting framework with various derived algorithms and an interactive web viewer
Compilation of R and Python programming codes on the Data Professor YouTube channel.
Predict Cryptocurrency Price with Deep Learning
This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural Processes (NPs), Attentive Neural Processes (ANPs).
A central, open resource for data and tools related to chain-of-thought reasoning in large language models. Developed @ Samwald research group: https://samwald.info/