-
Process Engineer @ Siemens AG
- Nuremberg, GER
-
16:51
(UTC +01:00) - in/marvin-herchenbach
- @marv5her
- https://www.researchgate.net/profile/Marvin_Herchenbach
Lists (30)
Sort Name ascending (A-Z)
π§ AGI
π€ AIoT
π± Apps
π BPM
π Causal ML
ποΈ Computer Vision
πΉ Control System
π Data Analytics
π§Ή Data-centric
π¨ Design
π³ Docker
π₯ Federated Learning
π· GNN
β»οΈ Interpretable AI
GAMsπ Knowledge Graphs
π Latex
π LLM
π» Machine Learning (General)
π MLOps
π’ Multimodal
π Neuro-Symbolic
π NLP
𧬠Optimization
βοΈ Process Mining
π Recommendation
πΊοΈ Segmentation
π― Six Sigma
βοΈ Synth Data
π TimeSeries
π XAI
Starred repositories
Data-driven Unsupervised Semantic Segmentation with Pre-trained Self-supervised Vision Transformer
FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs oβ¦
Interactively explore unstructured datasets from your dataframe.
A machine learning toolkit for log parsing [ICSE'19, DSN'16]
A comprehensive collection of mathematical tools and utilities designed to support Lean Six Sigma practitioners in their process improvement journey
Six Sigma based analysis of manufacturing data for trends, Cpk/Ppk.
DyEdgeGAT: Dynamic Edge via Graph Attention for Early Fault Detection in IIoT Systems
Tools for merging pretrained large language models.
[NeurIPS 2024] Official implementation of the paper "Interfacing Foundation Models' Embeddings"
Streamlit text input that returns value on keyup
π A ranked gallery of awesome streamlit apps built by the community
Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Created by Ram Seshadri. Collaborators welcome.
A curated collection of research papers exploring the utilization of LLMs for graph-related tasks.
Build ChatGPT over your data, all with natural language
Die wichtigsten APIs Deutschlands in einem Python Paket.
TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's β¦
π The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
A python library for user-friendly forecasting and anomaly detection on time series.
Automatic extraction of relevant features from time series:
A Natural Language Interface to Explainable Boosting Machines
An Open-source Toolkit for LLM Development
β uplift modeling in scikit-learn style in python π