Results for “open-weight-models”
14 skillsopenclip-an-open-source-implementation-of-clip-arxiv-2212-07
OpenCLIP: An Open Source Implementation of CLIP
6
openrlhf-training
Train large language models (7B-70B+) with RLHF using PPO, GRPO, DPO, and other algorithms, accelerated by Ray and vLLM for distributed multi-GPU setups.
10.4k · bundle
open-vocabulary-object-detection-using-captions-arxiv-2011-1
Open-Vocabulary Object Detection Using Captions
6
cobrapy
Constraint-based metabolic modeling (COBRA). FBA, FVA, gene knockouts, flux sampling, SBML models, for systems biology and metabolic engineering analysis.
3 · bundle
cobrapy
Constraint-based metabolic modeling (COBRA). FBA, FVA, gene knockouts, flux sampling, SBML models, for systems biology and metabolic engineering analysis.
5 · bundle
scaling-laws-for-neural-language-models-arxiv-2001-08361v1
Scaling Laws for Neural Language Models
6
end-size-fs
Provides a general step-by-step procedure for handling requests related to end, size, and fs, with placeholders for specifics.
559
opentelemetry
OpenTelemetry observability patterns: traces, metrics, logs, context propagation, OTLP export, Collector pipelines, and troubleshooting
71 · bundle
pyopenms
Python interface to OpenMS for mass spectrometry data analysis. Use for LC-MS/MS proteomics and metabolomics workflows including file handling (mzML, mzXML, mzTab, FASTA, pepXML, protXML, mzIdentML), signal processing, feature detection, peptide identification, and quantitative analysis. Apply when working with mass spectrometry data, analyzing proteomics experiments, or processing metabolomics datasets.
5 · bundle
towards-open-world-segmentation-of-parts-arxiv-2305-06914v3
Towards Open-World Segmentation of Parts
6
cobrapy
Constraint-based metabolic modeling (COBRA). FBA, FVA, gene knockouts, flux sampling, SBML models, for systems biology and metabolic engineering analysis.
0 · bundle
og-image-design
Design Open Graph and social sharing images with platform-specific specs, text placement, and branding guidelines. Generate images via HTML-to-image or AI, and configure OG meta tags for Facebook, Twitter, LinkedIn, and more.
584
training-compute-optimal-large-language-models-arxiv-2203-15
Training Compute-Optimal Large Language Models
6
alterlab-pyopenms
Build complete mass-spectrometry workflows with pyOpenMS — feature detection, peptide identification, protein quantification, and full LC-MS/MS pipelines across many MS file formats (mzML, mzXML) and algorithms. Use for comprehensive proteomics and MS data processing — for simple spectral comparison and metabolite identification use matchms. Part of the AlterLab Academic Skills suite.
60 · bundle