AlexanderVNikitin
Probabilistic methods for machine learning; applications in predictive maintenance and health
Pinned Repositories
spatiotemporal-graph-kernels
The official implementation of Non-separable Spatio-temporal Graph Kernels via SPDEs.
awesome-time-series
Resources for working with time series and sequence data
awesome-tnns
BLIP
PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
covid19-on-graphs
Spatio-temporal graph dataset of COVID-19 cases over the US
DMIA
Data mining in action course for MIPT
efsm
Code for a unified parser for extended finite state machines (EFSM). Allows to easily store and reuse EFSMs.
kernel-language-entropy
tsgm
Generation and evaluation of synthetic time series datasets (also, augmentations, visualizations, a collection of popular datasets)
thindeepgps
Reference implementation of Thin and Deep Gaussian Processes (NeurIPS 2023)
AlexanderVNikitin's Repositories
AlexanderVNikitin/tsgm
Generation and evaluation of synthetic time series datasets (also, augmentations, visualizations, a collection of popular datasets)
AlexanderVNikitin/kernel-language-entropy
AlexanderVNikitin/DMIA
Data mining in action course for MIPT
AlexanderVNikitin/efsm
Code for a unified parser for extended finite state machines (EFSM). Allows to easily store and reuse EFSMs.
AlexanderVNikitin/awesome-time-series
Resources for working with time series and sequence data
AlexanderVNikitin/awesome-tnns
AlexanderVNikitin/BLIP
PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
AlexanderVNikitin/covid19-on-graphs
Spatio-temporal graph dataset of COVID-19 cases over the US
AlexanderVNikitin/diffusers
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch
AlexanderVNikitin/iDT
improved dense trajectories
AlexanderVNikitin/keras
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano and TensorFlow.
AlexanderVNikitin/mongo-python-driver
PyMongo - the Python driver for MongoDB
AlexanderVNikitin/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
AlexanderVNikitin/tensorflow
Computation using data flow graphs for scalable machine learning
AlexanderVNikitin/challenge-icml-2024
Official repository for the Topological Deep Learning Challenge 2024, organized by TAG-DS & PyT-Team and hosted by GRaM Workshop @ ICML 2024.
AlexanderVNikitin/PrimeKG
Precision Medicine Knowledge Graph (PrimeKG)
AlexanderVNikitin/pytorch_geometric_temporal
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
AlexanderVNikitin/thindeepgps
AlexanderVNikitin/TopoModelX
Topological Deep Learning
AlexanderVNikitin/TxGNN
TxGNN: Zero-shot prediction of therapeutic use with geometric deep learning and clinician centered design