FarmVibes.AI: Multi-Modal GeoSpatial ML Models for Agriculture and Sustainability

PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

PyTorch implementation of Transformer model used in "Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case"

Python package for computing, analysing and visualising early warning signals (EWS) in time series data. Includes a novel approach to characterise bifurcations using Spectral EWS.

Some Lean tutorials

Actively developed Hierarchical Temporal Memory (HTM) community fork (continuation) of NuPIC. Implementation for C++ and Python

Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.

Code for 'Dynamics-Aware Unsupervised Discovery of Skills' (DADS). Enables skill discovery without supervision, which can be combined with model-based control.

🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

Lectures on scientific computing with python, as IPython notebooks.

This repository contains implementations and illustrative code to accompany DeepMind publications

A set of jupyter notebooks for the practice of TDA with the python Gudhi library together with popular machine learning and data sciences libraries.

A Python implementation of global optimization with gaussian processes.

A curated list of Monte Carlo tree search papers with implementations.

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencode…

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Advers…

Quantum Machine Learning for FinTech and Time Series Data

Teach an LSTM to generate sermons

A helper code which scraps all the pdf papers from Neural Information Processing Systems (NIPS)

How to extract sentiment from opinions without any labels

Efficiently computes derivatives of numpy code.

A curated list of community detection research papers with implementations.

A collection of important graph embedding, classification and representation learning papers with implementations.

A Pytorch implementation of "Splitter: Learning Node Representations that Capture Multiple Social Contexts" (WWW 2019).

Time series prediction using dilated causal convolutional neural nets (temporal CNN)

Playing with Financial Time Series