Stars
Public facing notes page
The online textbook Probabilistic Models of Cognition
Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning
A toolkit for reproducible reinforcement learning research.
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials,…
Fast data visualization and GUI tools for scientific / engineering applications
Human Pose Estimation Related Publication
ClearMap 2 with WobblyStitcher, TubeMap and CellMap
Annotations of the interesting ML papers I read
Deep learning course CE7454, 2019
Stanford Network Analysis Platform (SNAP) is a general purpose network analysis and graph mining library.
Platform for designing and evaluating Graph Neural Networks (GNN)
A bare-bones repository demonstrating how to set up tools for data science projects that will help you write higher quality code.
[Archived! Check out http://ericmjl.github.io/Network-Analysis-Made-Simple/] A short tutorial on network analysis using Game of Thrones, US Airports and Python!
Course notes for CS228: Probabilistic Graphical Models.
repository with the tutorials for MLSS Skoltech
tutorials for MLSS 2019 Skoltech
Framework-agnostic library for checking array/tensor shapes at runtime.
WhatsApp chats as dataframes. Python toolkit to analyse and parse WhatsApp chats.
a numpy implementation of Graph Convolutional Networks
napari: a fast, interactive, multi-dimensional image viewer for python
course note & project of cs 168(CS 168: The Modern Algorithmic Toolbox) at stanford ,course link : http://web.stanford.edu/class/cs168/index.html
Swift for TensorFlow's high-level API, modeled after fastai
links to conference publications in graph-based deep learning