Awesome Data Analysis
Section: Tools · Tool for creating and sharing machine learning applications.
FreshScore 80
Entry
Gradio
Appears in 11 awesome lists
Build and share delightful machine learning apps, all in Python. The de facto standard for creating interactive ML demos with automatic UI generation from function signatures. Powers thousands of Hugging Face Spaces.
Open github.comgradio-app/gradio
Found in these lists
AWESOME DATA SCIENCE
Section: Miscellaneous Tools · Create customizable UI components around machine learning models
FreshScore 92
Awesome Machine Learning
Section: Python · A Python library for quickly creating and sharing demos of models. Debug models interactively in your browser, get feedback from collaborators, and generate public links without deploying anything.
FreshScore 93
Awesome MLOps
Section: Model Serving · Create customizable UI components around your models.
FreshScore 80
Awesome Open Source AI
Section: 1. Core Frameworks & Libraries · Build and share delightful machine learning apps, all in Python. The de facto standard for creating interactive ML demos with automatic UI generation from function signatures. Powers thousands of Hugging Face Spaces.
FreshScore 89
Awesome Production Machine Learning
Section: Industry Strength Visualisation · Quickly create and share demos of models - by only writing Python. Debug models interactively in your browser, get feedback from collaborators, and generate public links without deploying anything.
FreshScore 92
awesome-python
Section: Data Science and Analytics · Build and share delightful machine learning apps, all in Python. Star to support our work!
FreshScore 81
Awesome Python Data Science
Section: Deployment · Create UIs for your machine learning model in Python in 3 minutes.
ActiveScore 71
Awesome Data Science with Python
Section: General · Create UIs for your machine learning model.
FreshScore 82
Awesome Python
Section: Data Visualization · Build and share machine learning apps, all in Python.
FreshScore 94
Awesome Systematic Trading
Section: Visualization · | Python | - Build and share delightful machine learning apps, all in Python.
FreshScore 89
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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.
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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.
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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
Apache Airflow
"Use airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command line utilities make performing complex surgeries on DAGs a snap. The rich user interface makes it…
In 13 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