Alexander Mathis

Scipy Cookbook

Dockercontainer to run DeepLabCut http://www.mousemotorlab.org/deeplabcut/

Course materials for the Modern Methods for Quantifying Behavior Course!

Collection of miscellaneous teaching, workshop or tutorial materials...

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

My blog.

Python package for covariance matrices manipulation and Biosignal classification with application in Brain Computer interface

No description.

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

A technical report on convolution arithmetic in the context of deep learning

Dive into Machine Learning with Python Jupyter notebook and scikit-learn!

Computational toolbox for large scale Calcium Imaging Analysis, including movie handling, motion correction, source extraction, spike deconvolution and result visualization.

:atom: The hackable text editor

OpenPose: Real-time multi-person keypoint detection library for body, face, and hands estimation

Learned Perceptual Image Patch Similarity (LPIPS) metric. In CVPR, 2018.

Image-to-image translation in PyTorch (e.g., horse2zebra, edges2cats, and more)

No description.

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

TensorFlow Tutorials with YouTube Videos

Scikit-image tutorials

MyoSuite is a collection of environments/tasks to be solved by musculoskeletal models simulated with the MuJoCo physics engine and wrapped in the OpenAI gym API.

Reference implementation of a two-level RCN model

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

This repository contains a multi-fisheye camera SLAM. The underlying SLAM system is based on ORB-SLAM.

ScopeFoundry: A Python platform for controlling custom laboratory experiments and visualizing scientific data

A conda-smithy repository for otrobopt.

PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations"

Human Pose estimation with TensorFlow framework

Robust and real time template tracking

No description.

SimTK OpenSim 4.0 C++ libraries and command-line applications, and Java/Python wrapping.

Information and scripts to run and develop the Bethge Lab Docker containers

Development of new unified docker container (WIP)

The DeepMind Control Suite and Package

Codes for reproducing results in paper: https://arxiv.org/abs/1706.07555

Source-to-Source Debuggable Derivatives in Pure Python

Convolutional neural network model for video classification trained on the Kinetics dataset.

Generic U-Net Tensorflow implementation for image segmentation

Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.

Generalized Transfer Entropy analysis for model-free network reconstruction.

Object detection in TensorFlow

A parser for Google Scholar, written in Python

Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.

No description.

Torch implementation of DeepMask and SharpMask

A Tensorflow implementation of Semi-supervised Learning Generative Adversarial Networks.

Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.

TensorFlow CNN for fast style transfer! ⚡🖥🎨🖼

Models built with TensorFlow

Tensorflow implementation of pixel-recursive-super-resolution(Google Brain paper: https://arxiv.org/abs/1702.00783)

Code for the paper "Learning to Act by Predicting the Future", Alexey Dosovitskiy and Vladlen Koltun, ICLR 2017

Learning to Learn in TensorFlow