franzesegiovanni
PostDoc Researcher in Learning and Robotics. Working on Manipulation, Interactive Imitation Learning, and Gaussian Process.
TU Delft Delft
franzesegiovanni's Stars
huggingface/lerobot
🤗 LeRobot: Making AI for Robotics more accessible with end-to-end learning
skorch-dev/skorch
A scikit-learn compatible neural network library that wraps PyTorch
rtqichen/torchdiffeq
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
mne-tools/mne-python
MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
pymc-devs/pymc-resources
PyMC educational resources
AprilRobotics/apriltag
AprilTag is a visual fiducial system popular for robotics research.
PyDMD/PyDMD
Python Dynamic Mode Decomposition
Shunichi09/PythonLinearNonlinearControl
PythonLinearNonLinearControl is a library implementing the linear and nonlinear control theories in python.
raminmh/CfC
Closed-form Continuous-time Neural Networks
msurtsukov/neural-ode
Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations
jschmid1/gopro_as_webcam_on_linux
Allows to use your GoPro camera as a webcam on linux
AmazaspShumik/sklearn-bayes
Python package for Bayesian Machine Learning with scikit-learn API
yangjiaolong/Go-ICP
Implementation of the Go-ICP algorithm for globally optimal 3D pointset registration
AprilRobotics/apriltag_ros
A ROS wrapper of the AprilTag 3 visual fiducial detector
snap-stanford/neural-subgraph-learning-GNN
Thinklab-SJTU/pygmtools
A Python Graph Matching Toolkit.
TrustAGI-Lab/graph_datasets
A Repository of Benchmark Graph Datasets for Graph Classification (31 Graph Datasets In Total).
hilo-mpc/hilo-mpc
HILO-MPC is a Python toolbox for easy, flexible and fast development of machine-learning-supported optimal control and estimation problems
bregydoc/bcidatasetIV2a
This is a repository for BCI Competition 2008 dataset IV 2a fixed and optimized for python and numpy. This dataset is related with motor imagery
YaChienChang/Neural-Lyapunov-Control
Learning Lyapunov functions and control policies of nonlinear dynamical systems
thangbui/streaming_sparse_gp
Streaming sparse Gaussian process approximations
wjmaddox/online_gp
Code repo for "Kernel Interpolation for Scalable Online Gaussian Processes"
varun-ml/diffusion-models-tutorial
Experiment with diffusion models that you can run on your local jupyter instances
cagatayyildiz/npde
Nonparametric Differential Equation Modeling
aterenin/SparseGaussianProcesses.jl
A Julia implementation of sparse Gaussian processes via path-wise doubly stochastic variational inference.
zgbkdlm/ssdgp
State-space deep Gaussian processes in Python and Matlab
plugyawn/gp-zoo
A repository with implementations of major papers on Gaussian Process regression models, implemented from scratch in Python, notably including Stochastic Variational Gaussian Processes.
tony23545/DeepKoopman
Use deep learning to learn Koopman operator and LQR for optimal control
asrvsn/koopman-robust-control
Uncertainty sets for nonlinear dynamical systems
maxspahn/teachmehuman
Learning from demonstration for automation in any GUI