Stars
Causal Inference and Discovery in Python by Packt Publishing
Tensorflow implementation of Amazon DeepAR
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
FinRL®: Financial Reinforcement Learning. 🔥
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Fast and Easy Infinite Neural Networks in Python
🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
Materials for blogs and conferences
A neural network emulator to transform field data
Leveraging BERT and c-TF-IDF to create easily interpretable topics.
Python library for interactive topic model visualization. Port of the R LDAvis package.
Long Range Arena for Benchmarking Efficient Transformers
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
RISE: "Live" Reveal.js Jupyter/IPython Slideshow Extension
Always know what to expect from your data.
The interactive graphing library for Python ✨
A course in reinforcement learning in the wild
Low-code pre-built pipelines for experiments with huggingface/transformers for Data Scientists in a rush.
Fastest network node embeddings in the west
This repository contains implementations and illustrative code to accompany DeepMind publications
TensorFlow Recommenders is a library for building recommender system models using TensorFlow.
A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.
Roadmap to becoming an Artificial Intelligence Expert in 2022
Unsupervised Learning to Market Behavior Forecasting Example