chschroeder

active-learning-with-rubrix

ALiPy

ALiPy: Active Learning in Python is an active learning python toolbox, which allows users to conveniently evaluate, compare and analyze the performance of active learning methods.

argilla

✨ Open-source tool for data-centric NLP. Argilla helps domain experts and data teams to build better NLP datasets in less time.

awesome-german-open-source-ml

A list of awesome open source projects in the machine learning field, who's developers are mainly based in Germany

best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

chschroeder

ml-road

Machine Learning Resources, Practice and Research

self-training-for-sample-efficient-active-learning

Self-Training for Sample-Efficient Active Learning for Text Classification with Pre-Trained Language Models (EMNLP 2024)

acl22-revisiting-uncertainty-based-query-strategies-for-active-learning-with-transformers

Revisiting Uncertainty-based Query Strategies for Active Learning with Transformers

small-text

Active Learning for Text Classification in Python

chschroeder/active-learning-with-rubrix

chschroeder/self-training-for-sample-efficient-active-learning

Self-Training for Sample-Efficient Active Learning for Text Classification with Pre-Trained Language Models (EMNLP 2024)

chschroeder/ml-road

Machine Learning Resources, Practice and Research

chschroeder/ALiPy

ALiPy: Active Learning in Python is an active learning python toolbox, which allows users to conveniently evaluate, compare and analyze the performance of active learning methods.

chschroeder/argilla

✨ Open-source tool for data-centric NLP. Argilla helps domain experts and data teams to build better NLP datasets in less time.

chschroeder/awesome-german-open-source-ml

A list of awesome open source projects in the machine learning field, who's developers are mainly based in Germany

chschroeder/best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

chschroeder/chschroeder

chschroeder/dco-check

Simple DCO check script to be used in any CI

chschroeder/github-issue-templates

:symbols: A collection of GitHub issue and pull request templates

chschroeder/environments

Determined AI public environments

chschroeder/llm.c

LLM training in simple, raw C/CUDA

chschroeder/Megatron-LM

Ongoing research training transformer models at scale

chschroeder/mistral-src

Reference implementation of Mistral AI 7B v0.1 model.

chschroeder/ml-engineering

Machine Learning Engineering Guides and Tools

chschroeder/pdf-extraction

chschroeder/pdoc-sphinx-theme

chschroeder/scikit-optimize

Sequential model-based optimization with a `scipy.optimize` interface

chschroeder/sentence-transformers

Multilingual Sentence & Image Embeddings with BERT

chschroeder/setfit

Efficient few-shot learning with Sentence Transformers

chschroeder/small-text

Active Learning for Text Classification in Python

chschroeder/small-text-feedstock

A conda-smithy repository for small-text.

chschroeder/staged-recipes

A place to submit conda recipes before they become fully fledged conda-forge feedstocks

chschroeder/SuperGLEBer

German Language Understanding Evaluation Benchmark @NAACL24

chschroeder/text-classification-docker

An opinionated composition of python tools for text classification.

chschroeder/vi-data-filtering

chschroeder/vlstm_cuda

An repository for learning CUDA. Implements the mLSTM (previously called vLSTM in CUDA (with no tensor cores)).

chschroeder/warc

:gear: A Rust library for reading and writing WARC files

chschroeder/welford

python (numpy) implementation of welford algorithm

chschroeder/xgb-svm-docker