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kalman-and-bayesian-filters-in-python

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.

keras

Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.

keras-transfer-learning-for-oxford102

Keras pretrained models (VGG16, InceptionV3, Resnet50, Resnet152) + Transfer Learning for predicting classes in the Oxford 102 flower dataset

lagrangian_nns

Lagrangian Neural Networks

lambda-arch

Applying the Lambda Architecture with Spark, Kafka, and Cassandra.

legged-kinematics-calibration

legged_gym

Isaac Gym Environments for Legged Robots

malsar

Multi-task learning via Structural Regularization

matplotlib_for_papers

Handout for the tutorial "Creating publication-quality figures with matplotlib"

mean-teacher

A state-of-the-art semi-supervised method for image recognition

mimic3-benchmarks

Python suite to construct benchmark machine learning datasets from the MIMIC-III clinical database.

mnist-svhn-transfer

PyTorch Implementation of CycleGAN and SSGAN for Domain Transfer (Minimal)

movielens-recsys

基于MovieLens-1M数据集实现的协同过滤算法demo

multi-stage-dnn

multilabel-timeseries-classification-with-lstm

Tensorflow implementation of paper: Learning to Diagnose with LSTM Recurrent Neural Networks.

n2nmn

Code release for Hu et al. Learning to Reason: End-to-End Module Networks for Visual Question Answering. in ICCV, 2017

nengo

A Python library for creating and simulating large-scale brain models

neural-lyapunov-control

Learning Lyapunov functions and control policies of nonlinear dynamical systems

nn-mpc

Control simulation of a mass-spring-damper system using a model-based reinforcement learning algorithm

ns-vqa

Neural-symbolic visual question answering

optimal-control-via-neural-networks

Code repo for ICLR paper: Optimal Control Via Neural Networks: A Convex Approach

orbit

Unified framework for robot learning built on NVIDIA Isaac Sim

pillow

The friendly PIL fork (Python Imaging Library)

pinns

Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations

port-hamiltonian

Some partial results of my research on port-Hamiltonian systems.

porthamiltoniannn

Port-Hamiltonian Approach to Neural Network Training

pot

Python Optimal Transport library

probabilisticcontactestimation

Probabilistic Contact State Estimation for Legged Robots in ROS

reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials

robustrnn