pierg

pierg's Stars

• eza-community/eza

  A modern alternative to ls

  Language:Rust13.2k27466237

• mckinsey/causalnex

  A Python library that helps data scientists to infer causation rather than observing correlation.

  Language:Python2.3k52141259

• jakobrunge/tigramite

  Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at

  Language:Jupyter Notebook1.4k39200279

• NetManAIOps/OmniAnomaly

  KDD 2019: Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network

  Language:Python7561251202

• samuelkraft/samuelkraft-next

  My personal website built with Next.js, Typescript, MDX, Tailwind

  Language:MDX4674447

• Valentyn1997/CausalTransformer

  Code for the paper "Causal Transformer for Estimating Counterfactual Outcomes"

  Language:Python12461028

• mmcdermott/EventStreamGPT

  Dataset and modelling infrastructure for modelling "event streams": sequences of continuous time, multivariate events with complex internal dependencies.

  Language:Jupyter Notebook10845217

• yangalan123/TemporalPointProcessPapers

  Paper lists for Temporal Point Process

  1047011

• larslorch/avici

  Amortized Inference for Causal Structure Learning, NeurIPS 2022

  Language:Python61249

• pasquini-dario/project_mantis

  Project Mantis: Hacking Back the AI-Hacker; Prompt Injection as a Defense Against LLM-driven Cyberattacks

  Language:Python59407

• hongyuanmei/neural-datalog-through-time

  Source code for Neural Datalog Through Time: Informed Temporal Modeling via Logical Specification (ICML 2020).

  Language:Python36115

• IntelligentDDS/MicroRank

  MicroRank: End-to-End Latency Issue Localization with Extended Spectrum Analysis in Microservice Environments

  Language:Python35426

• HKUST-KnowComp/COLA

  Official code repository for the main conference paper in ACL2023: COLA: Contextualized Commonsense Causality Reasoning from the Causal Inference Perspective

  Language:Python26201

• shchur/tpp-anomaly-detection

  Implementation of "Detecting Anomalous Event Sequences with Temporal Point Processes" (NeurIPS 2021)

  Language:Jupyter Notebook24126

• lcastri/causalflow

  CausalFlow: a Collection of Methods for Causal Discovery from Time-series

  Language:Python18202

• zjutvis/VAC2

  VAC^2: Visual Analysis of Combined Causality in Event Sequences

  Language:JavaScript6201

• dfiallo35/CausalFlow

  Language:Python4

• pierg/ai-course

  Labs for Chalmers SE AI course

  Language:Jupyter Notebook2401

• pierg/GPTLabs

  Building and Training Transformers Step-by-Step

  Language:Python20

• pierg/llm_from_scratch

  Language:Python220

• pierg/wiseml-patterns

  Language:Python220

• ZhiyueZ/CTDT

  Continuous-time decision transformer

  Language:Python2100

• pierg/anomaly-detection

  Anomaly Detection in Event Streams: Leveraging advanced deep learning for anomaly detection in event streams, with metrics evaluation, Slurm support, and Hadoop HDFS validation.

  Language:Python1100

• pierg/cloud-guardian

  Modeling and analysis of IAM security policies

  Language:Python1120

• pierg/cloud-guardian-docs

  110

• pierg/cogomo-ltl

  Language:Python120

• pierg/cogomo_Z3

  Language:Python120

• pierg/crome

  Contract-Based Robotic Mission Specification

  Language:Python130

• pierg/rl_monitor

  Combining Reinforcement Learning with Runtime Monitoring

  1422

• pierg/wiseml

  Language:Python130