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Name: Alexander Mathis
Type: User
Company: École Polytechnique Fédérale de Lausanne (EPFL)
Bio: Computational neuroscience, machine learning & computer vision
Location: Geneva, CH
Name: Alexander Mathis
Type: User
Company: École Polytechnique Fédérale de Lausanne (EPFL)
Bio: Computational neuroscience, machine learning & computer vision
Location: Geneva, CH
We turn natural language descriptions of behaviors into machine-executable code
:atom: The hackable text editor
Robust and real time template tracking
Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.
Computational toolbox for large scale Calcium Imaging Analysis, including movie handling, motion correction, source extraction, spike deconvolution and result visualization.
My blog.
A technical report on convolution arithmetic in the context of deep learning
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Torch implementation of DeepMask and SharpMask
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
Code for the paper "Learning to Act by Predicting the Future", Alexey Dosovitskiy and Vladlen Koltun, ICLR 2017
Dive into Machine Learning with Python Jupyter notebook and scikit-learn!
Course materials for the Modern Methods for Quantifying Behavior Course!
The DeepMind Control Suite and Package
Information and scripts to run and develop the Bethge Lab Docker containers
Development of new unified docker container (WIP)
Dockercontainer to run DeepLabCut http://www.mousemotorlab.org/deeplabcut/
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
TensorFlow CNN for fast style transfer! ⚡🖥🎨🖼
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'.
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
Convolutional neural network model for video classification trained on the Kinetics dataset.
Learning to Learn in TensorFlow
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.
Models built with TensorFlow
This repository contains a multi-fisheye camera SLAM. The underlying SLAM system is based on ORB-SLAM.
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.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.