Interpret
interpretml
Fit interpretable models. Explain blackbox machine learning.
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49–64 / 365
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Results: 365
interpretml
Fit interpretable models. Explain blackbox machine learning.
drivendataorg
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
Angel-ML
A Flexible and Powerful Parameter Server for large-scale machine learning
clearml
ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps so…
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…
yzhao062
Anomaly detection related books, papers, videos, and toolboxes. Last update late 2025 for LLM and VLM works!
argilla-io
Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets
tensorflow
A flexible, high-performance serving system for machine learning models
aleju
Image augmentation for machine learning experiments.
NVIDIA
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference appl…
grobidOrg
A machine learning software for extracting information from scholarly documents
pytorch
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
py-why
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic de…
tensorflow
TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...
Vedenin
A list of useful Java frameworks, libraries, software and hello worlds examples