Bitsandbytes
bitsandbytes-foundation
Accessible large language models via k-bit quantization for PyTorch.
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bitsandbytes-foundation
Accessible large language models via k-bit quantization for PyTorch.
h2oai
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeli…
interpretml
Fit interpretable models. Explain blackbox machine learning.
tensorflow
A flexible, high-performance serving system for machine learning models
huggingface
Build local voice agents with open-source models
Nixtla
Lightning ⚡️ fast forecasting with statistical and econometric models.
PAIR-code
The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.
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…
SeldonIO
An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
MAIF
🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
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…
NVIDIA
Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
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.
qualcomm
AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
huggingface
🤗 Evaluate: A library for easily evaluating machine learning models and datasets.