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Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.
Keras pretrained models (VGG16, InceptionV3, Resnet50, Resnet152) + Transfer Learning for predicting classes in the Oxford 102 flower dataset
Lagrangian Neural Networks
Applying the Lambda Architecture with Spark, Kafka, and Cassandra.
Isaac Gym Environments for Legged Robots
Multi-task learning via Structural Regularization
Handout for the tutorial "Creating publication-quality figures with matplotlib"
A state-of-the-art semi-supervised method for image recognition
Python suite to construct benchmark machine learning datasets from the MIMIC-III clinical database.
PyTorch Implementation of CycleGAN and SSGAN for Domain Transfer (Minimal)
基于MovieLens-1M数据集实现的协同过滤算法demo
Tensorflow implementation of paper: Learning to Diagnose with LSTM Recurrent Neural Networks.
Code release for Hu et al. Learning to Reason: End-to-End Module Networks for Visual Question Answering. in ICCV, 2017
A Python library for creating and simulating large-scale brain models
Learning Lyapunov functions and control policies of nonlinear dynamical systems
Control simulation of a mass-spring-damper system using a model-based reinforcement learning algorithm
Neural-symbolic visual question answering
Code repo for ICLR paper: Optimal Control Via Neural Networks: A Convex Approach
Unified framework for robot learning built on NVIDIA Isaac Sim
The friendly PIL fork (Python Imaging Library)
Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations
Some partial results of my research on port-Hamiltonian systems.
Port-Hamiltonian Approach to Neural Network Training
Python Optimal Transport library
Probabilistic Contact State Estimation for Legged Robots in ROS
Simple Reinforcement learning tutorials
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.