Julian Risch
julian-risch
Engineering Team Lead @deepset-ai working on Haystack, the production-ready open source AI framework
Languages
Repos
29
Stars
124
Forks
21
Top Language
Jupyter Notebook
Loading contributions...
Top Repositories
Code for our WOAH@ACL 2021 Paper on Data Integration for Toxic Comment Classification: Making More Than 40 Datasets Easily Accessible in One Unified Format
Code for our TRAC@LREC 2020 Paper/ JLCL 2020 Article on Explanation Methods for Offensive Language Classifiers
Code and Data for our JCDL 2020 Paper on Hierarchical Document Classification
Code for our GermEval@KONVENS 2019 and TRAC@LREC 2020 papers on Offensive Language Identification using BERT
Repositories
29A conda-smithy repository for haystack-ai.
No description provided.
Code for our WOAH@ACL 2021 Paper on Data Integration for Toxic Comment Classification: Making More Than 40 Datasets Easily Accessible in One Unified Format
No description provided.
Code and Data for our JCDL 2020 Paper on Hierarchical Document Classification
๐งช Experimental features for Haystack
๐ฉ๐ปโ๐ณ A collection of example notebooks using Haystack
No description provided.
๐ค Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
No description provided.
Notebooks for RAG optimization workshop
Code and Data for our ICWSM 2020 Paper on User Engagement in Online Discussions
Code for our TRAC@LREC 2020 Paper/ JLCL 2020 Article on Explanation Methods for Offensive Language Classifiers
Code for our JCDL 2018 Paper on Entropy-Based Topic Modeling
Code and Data for our CIKM 2020 Paper on Journalists' Interactions with Their Readership
Code for our GermEval@KONVENS 2019 and TRAC@LREC 2020 papers on Offensive Language Identification using BERT
No description provided.
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
A curated list of awesome Deep Learning tutorials, projects and communities.
No description provided.
๐ค The largest hub of ready-to-use NLP datasets for ML models with fast, easy-to-use and efficient data manipulation tools
Code for our ESIDA 2021 Paper on Comment Exploration
Code for our NAACL 2018 Paper on Predicting User Comments on News Items
A short introduction to Deep Learning in Python with Keras
No description provided.
Code for our ICADL 2018 Paper on Book Recommendation with Document Embeddings
No description provided.
Code for our Datenbank-Spektrum Journal Article on Data Repeatability in Web Science
Code and Data for our TRAC@COLING 2018 Paper on Aggression Identification Using Deep Learning and Data Augmentation