Bitsandbytes
bitsandbytes-foundation
Accessible large language models via k-bit quantization for PyTorch.
Ml AutomationReview before use
8.3KGitHub
OPENAGENTSKILL / DIRECTORY
AI Agent Skills
Find a skill for your next task. Explore tools for Codex, Claude Code, Cursor and more.
Results · “unified-multimodal-models”
17–32 / 36
More filters · 1
Results: 36
H2o 3
h2oai
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeli…
Ml AutomationReview before use
7.5KGitHub
Interpret
interpretml
Fit interpretable models. Explain blackbox machine learning.
Ml AutomationReview before use
6.9KGitHub
Lance
lance-format
Open Lakehouse Format for Multimodal AI. Convert from Parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas…
Ml AutomationReview before use
6.7KGitHub
Serving
tensorflow
A flexible, high-performance serving system for machine learning models
Ml AutomationReview before use
6.4KGitHub
Daft
Eventual-Inc
High-performance data engine for AI and multimodal workloads. Process images, audio, video, and structured data at any scale
Ml AutomationReview before use
5.6KGitHub
Speech To Speech
huggingface
Build local voice agents with open-source models
Ml AutomationReview before use
4.9KGitHub
Statsforecast
Nixtla
Lightning ⚡️ fast forecasting with statistical and econometric models.
Ml AutomationReview before use
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 AutomationReview before use
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 AutomationReview before use
3.4KGitHub
Shapash
MAIF
🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
Ml AutomationReview before use
3.2KGitHub
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 AutomationReview before use
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 AutomationReview before use
2.8KGitHub
Aimet
qualcomm
AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
Ml AutomationReview before use
2.6KGitHub
Evaluate
huggingface
🤗 Evaluate: A library for easily evaluating machine learning models and datasets.
Ml AutomationReview before use
2.5KGitHub
2.3KGitHub
External platform skills
Browse external directory →Owner-curated external sources. Not filtered by the scores or compatibility controls above; excluded from GitHub rankings and automatic installation.
No external entries match this query.