soutrikmachine's Stars
geomstats/geomstats
Computations and statistics on manifolds with geometric structures.
QUVA-Lab/escnn
Equivariant Steerable CNNs Library for Pytorch https://quva-lab.github.io/escnn/
astooke/rlpyt
Reinforcement Learning in PyTorch
rail-berkeley/rlkit
Collection of reinforcement learning algorithms
rail-berkeley/softlearning
Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.
GUDHI/TDA-tutorial
A set of jupyter notebooks for the practice of TDA with the python Gudhi library together with popular machine learning and data sciences libraries.
GUDHI/gudhi-devel
The GUDHI library is a generic open source C++ library, with a Python interface, for Topological Data Analysis (TDA) and Higher Dimensional Geometry Understanding.
QUVA-Lab/e2cnn
E(2)-Equivariant CNNs Library for Pytorch
mblondel/teaching
Machine-Learning-Tokyo/Interactive_Tools
Interactive Tools for Machine Learning, Deep Learning and Math
bruel-gabrielsson/TopologyLayer
A Topology Layer for Machine Learning : Persistent Homology + Features for PyTorch
dmlc/dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
PythonOT/POT
POT : Python Optimal Transport
tkipf/gcn
Implementation of Graph Convolutional Networks in TensorFlow
jsikyoon/Interaction-networks_tensorflow
Tensorflow Implementation of Interaction Networks for Learning about Objects, Relations and Physics
TiagoCortinhal/SalsaNext
Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous Driving
ethanfetaya/NRI
Neural relational inference for interacting systems - pytorch
google-deepmind/dm_control
Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
geoopt/geoopt
Riemannian Adaptive Optimization Methods with pytorch optim
facebookresearch/jacobian_regularizer
A pytorch implementation of our jacobian regularizer to encourage learning representations more robust to input perturbations.
Qiskit/qiskit-metapackage
Qiskit is an open-source SDK for working with quantum computers at the level of circuits, algorithms, and application modules.
tensorflow/quantum
Hybrid Quantum-Classical Machine Learning in TensorFlow
pyg-team/pytorch_geometric
Graph Neural Network Library for PyTorch
rlworkgroup/garage
A toolkit for reproducible reinforcement learning research.
rll/rllab
rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.
jonkhler/s2cnn
Spherical CNNs
basveeling/keras-gcnn
Roto-reflection equivariant CNNs for Keras as presented in B. S. Veeling, J. Linmans, J. Winkens, T. Cohen, M. Welling. "Rotation Equivariant CNNs for Digital Pathology".
mariogeiger/se3cnn
Euclidean Neural Networks
tscohen/gconv_experiments
Experiments with Group Equivariant Convolutional Networks
tscohen/GrouPy
Group Equivariant Convolutional Neural Networks