Bitsandbytes
bitsandbytes-foundation
Accessible large language models via k-bit quantization for PyTorch.
Ml AutomationSkill source unconfirmed
8.3KGitHub
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Results · “generalized-linear-models”
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Results: 37
Interpret
interpretml
Fit interpretable models. Explain blackbox machine learning.
Ml AutomationSkill source unconfirmed
6.9KGitHub
Serving
tensorflow
A flexible, high-performance serving system for machine learning models
Ml AutomationSkill source unconfirmed
6.4KGitHub
Speech To Speech
huggingface
Build local voice agents with open-source models
Ml AutomationSkill source unconfirmed
4.9KGitHub
Statsforecast
Nixtla
Lightning ⚡️ fast forecasting with statistical and econometric models.
Ml AutomationSkill source unconfirmed
4.8KGitHub
Lit
PAIR-code
The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.
Ml AutomationSkill source unconfirmed
3.7KGitHub
TransformerEngine
NVIDIA
A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit and 4-bit floating point (FP8 and FP4) precision on Hopper, Ada and Blackwell GPUs, t…
Ml AutomationSkill source unconfirmed
3.4KGitHub
Seldon Core
SeldonIO
An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
Ml AutomationSkill source unconfirmed
4.8KGitHub
Shapash
MAIF
🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
Ml AutomationSkill source unconfirmed
3.2KGitHub
Promptify
promptslab
Prompt Engineering | Prompt Versioning | Use GPT or other prompt based models to get structured output. Join our discord for Prompt-Engineering, LLMs and other latest re…
4.6KGitHub
Physicsnemo
NVIDIA
Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
Ml AutomationSkill source unconfirmed
3KGitHub
AIF360
Trusted-AI
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
Ml AutomationSkill source unconfirmed
2.8KGitHub
Aimet
qualcomm
AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
Ml AutomationSkill source unconfirmed
2.6KGitHub
Evaluate
huggingface
🤗 Evaluate: A library for easily evaluating machine learning models and datasets.
Ml AutomationSkill source unconfirmed
2.5KGitHub
2.3KGitHub
Fairlearn
fairlearn
A Python package to assess and improve fairness of machine learning models.
Ml AutomationSkill source unconfirmed
2.3KGitHub