AlexanderVNikitin
Probabilistic methods for machine learning; applications in predictive maintenance and health
AlexanderVNikitin's Stars
run-llama/llama_index
LlamaIndex is a data framework for your LLM applications
microsoft/DeepSpeed
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
optuna/optuna
A hyperparameter optimization framework
wandb/wandb
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
aphyr/distsys-class
Class materials for a distributed systems lecture series
dottxt-ai/outlines
Structured Text Generation
nytimes/covid-19-data
A repository of data on coronavirus cases and deaths in the U.S.
tensorflow/probability
Probabilistic reasoning and statistical analysis in TensorFlow
google/uncertainty-baselines
High-quality implementations of standard and SOTA methods on a variety of tasks.
jakobrunge/tigramite
Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at
analyticalmonk/awesome-neuroscience
A curated list of awesome neuroscience libraries, software and any content related to the domain.
xinguoxia/KGE
Some papers on Knowledge Graph Embedding(KGE)
stas00/the-art-of-debugging
The Art of Debugging
lixus7/Time-Series-Works-Conferences
Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)
awslabs/dgl-lifesci
Python package for graph neural networks in chemistry and biology
OmicsML/dance
DANCE: a deep learning library and benchmark platform for single-cell analysis
raphaelvallat/antropy
AntroPy: entropy and complexity of (EEG) time-series in Python
pyt-team/TopoModelX
Topological Deep Learning
pyt-team/TopoNetX
Computing on Topological Domains
awesome-tnns/awesome-tnns
AlexanderVNikitin/tsgm
Generation and evaluation of synthetic time series datasets (also, augmentations, visualizations, a collection of popular datasets)
spectraldani/thindeepgps
Reference implementation of Thin and Deep Gaussian Processes (NeurIPS 2023)