Stars
gRNAde: Geometric Deep Learning for 3D RNA inverse design
Graph-Mamba: Towards Long-Range Graph Sequence Modelling with Selective State Spaces
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
Code for ECML/PKDD paper: "LSMI-Sinkhorn: Semi-supervised Mutual Information Estimation with Optimal Transport"
Code for Neural Manifold Clustering and Embedding
Implementation of the method proposed in the paper "Neural Descriptor Fields: SE(3)-Equivariant Object Representations for Manipulation"
Official code for the CVPR 2021 paper "FixBi: Bridging Domain Spaces for Unsupervised Domain Adaptation"
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Court Vision is a web based application for users to see statistics about their favorite players in the NBA with easy to follow visualizations. Basketball data will be scraped via the stats.nba.com…
User manual and example notebooks for the pytket quantum SDK
Code for the paper "Jukebox: A Generative Model for Music"
Spatiotemporal datasets collected for network science, deep learning and general machine learning research.
Quantum-enhanced transformer neural network
Code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs
YSDA course in Natural Language Processing
[ECCV 2020] Code for "Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory Prediction"
Collection of references, datasets and software libraries for soccer analytics.
pymc-learn: Practical probabilistic machine learning in Python
PointFlow : 3D Point Cloud Generation with Continuous Normalizing Flows
Learning latent representations of registered meshes is useful for many 3D tasks. Techniques have recently shifted to neural mesh autoencoders. Although they demonstrate higher precision than tradi…
A Python package for training and analyzing expected goals (xG) models in soccer.