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Kepler.gl is a powerful open source geospatial analysis tool for large-scale data sets.
Repository to demonstrate Chain of Table reasoning with multiple tables powered by LangGraph
A Full-Pipeline Automated Time Series (AutoTS) Analysis Toolkit.
This is V1 of my Portfolio Page. Created entirely within React. Utilizes a Linux inspired terminal design.
Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)
A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)
A curated collection of adversarial attack and defense on graph data.
ToTTo is an open-domain English table-to-text dataset with over 120,000 training examples that proposes a controlled generation task: given a Wikipedia table and a set of highlighted table cells, p…
code for paper Attributed and Predictive Entity Embedding for Fine-Grained Entity Typing in Knowledge Bases
Representation Learning of Knowledge Graphs with Entity Descriptions (AAAI'16)
Latex code for making neural networks diagrams
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
Deep universal probabilistic programming with Python and PyTorch
Resources that might come handy to anyone using spatially explicit mark-capture-recapture models.
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning …
An ipython notebook detailing an implementation of an LSTM using characters as input
Keras Implementation of Neural Style Transfer from the paper "A Neural Algorithm of Artistic Style" (http://arxiv.org/abs/1508.06576) in Keras 2.0+
Bayesian Modeling and Probabilistic Programming in Python
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, Dask, Flink and DataFlow
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more