Skip to content

Entry

Shapash

Appears in 4 awesome lists

User-friendly explainability library for transparent ML models. Beautiful visualizations with explicit labels that everyone can understand. Generates web reports and integrates with SHAP/LIME. Apache 2.0 licensed.

Open github.commaif/shapash

Found in these lists

Awesome Machine Learning

Section: Python · Shapash is a Python library that provides several types of visualization that display explicit labels that everyone can understand.

FreshScore 93

Awesome Open Source AI

Section: 10. AI Safety, Alignment & Interpretability · User-friendly explainability library for transparent ML models. Beautiful visualizations with explicit labels that everyone can understand. Generates web reports and integrates with SHAP/LIME. Apache 2.0 licensed.

FreshScore 89

Awesome Production Machine Learning

Section: Explainability and Fairness · Shapash is a Python library that provides several types of visualization that display explicit labels that everyone can understand.

FreshScore 92

Awesome XAI

Section: Repositories · SHAP and LIME-based front-end explainer.

StaleScore 44

TensorFlow

How to use the Hexagon Delegate to speed up model inference on mobile and edge devices. Also see blog post Accelerating TensorFlow Lite on Qualcomm Hexagon DSPs.

In 23 listsDetails

PyTorch

(label: good first issue) PyTorch is an open source machine learning library based on the Torch library, used for applications such as computer vision and natural language processing.

In 16 listsDetails

Opik

Comet's open-source AI observability and evaluation platform: deep tracing of LLM calls, conversation logging, and agent activity, plus built-in eval metrics, prompt versioning, guardrails, and the Opik Agent Optimizer. Worth including because it unifies observability, verification, and…

In 16 listsDetails

transformers

(formerly known as pytorch-transformers and pytorch-pretrained-bert) provides state-of-the-art general-purpose architectures (BERT, GPT-2, RoBERTa, XLM, DistilBert, XLNet, CTRL...) for Natural Language Understanding (NLU) and Natural Language Generation (NLG) with over 32+ pretrained models in…

In 14 listsDetails

Colossal-AI

(from Hpcaitech) - A Unified Deep Learning System for Large-Scale Parallel Training (1D, 2D, 2.5D, 3D and sequence parallelism, and ZeRO protocol).

In 14 listsDetails

Ray

A fast and simple framework for building and running distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library. ray.io

In 13 listsDetails

Haystack

Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search,…

In 13 listsDetails

XGBoost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow. [Apache2]

In 11 listsDetails