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Showing 353 open source projects for "framework python"

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1

Meta Agents Research Environments (ARE)

Meta Agents Research Environments is a comprehensive platform

Meta Agents Research Environments (ARE) is a simulation and benchmarking platform. It is designed to evaluate AI agents in dynamic, evolving, multi-step tasks. Unlike static benchmarks, ARE supports environments where agents must adapt to changes over time and reason over sequences of actions. It interacts with applications and faces uncertainty. The included Gaia2 benchmark offers 800 scenarios across multiple “universes”. It can test reasoning, memory, tool use, and adaptability....

Downloads: 1 This Week

Last Update: 2025-09-26
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2

LLaMA-Factory

Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)

LLaMA-Factory is a fine-tuning and training framework for Meta's LLaMA language models. It enables researchers and developers to train and customize LLaMA models efficiently using advanced optimization techniques.

Downloads: 1 This Week

Last Update: 2025-06-16
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3

TFX

TFX is an end-to-end platform for deploying production ML pipelines

TensorFlow Extended (TFX) is a Google-production-scale machine learning platform based on TensorFlow. It provides a configuration framework to express ML pipelines consisting of TFX components. TFX pipelines can be orchestrated using Apache Airflow and Kubeflow Pipelines. Both the components themselves and the integrations with orchestration systems can be extended. TFX components interact with an ML Metadata backend that keeps a record of component runs, input and output artifacts, and runtime...

Downloads: 1 This Week

Last Update: 2024-12-11
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4

Core ML Tools

Core ML tools contain supporting tools for Core ML model conversion

Use Core ML Tools (coremltools) to convert machine learning models from third-party libraries to the Core ML format. This Python package contains the supporting tools for converting models from training libraries. Core ML is an Apple framework to integrate machine learning models into your app. Core ML provides a unified representation for all models. Your app uses Core ML APIs and user data to make predictions, and to fine-tune models, all on the user’s device. Core ML optimizes on-device...

Downloads: 1 This Week

Last Update: 2025-04-29
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5

HunyuanVideo-I2V

A Customizable Image-to-Video Model based on HunyuanVideo

HunyuanVideo-I2V is a customizable image-to-video generation framework from Tencent Hunyuan, built on their HunyuanVideo foundation. It extends video generation so that given a static reference image plus an optional prompt, it generates a video sequence that preserves the reference image’s identity (especially in the first frame) and allows stylized effects via LoRA adapters. The repository includes pretrained weights, inference and sampling scripts, training code for LoRA effects, and support...

Downloads: 1 This Week

Last Update: 2025-09-23
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6

Argilla

The open-source data curation platform for LLMs

Argilla is a production-ready framework for building and improving datasets for NLP projects. Deploy your own Argilla Server on Spaces with a few clicks. Use embeddings to find the most similar records with the UI. This feature uses vector search combined with traditional search (keyword and filter based). Argilla is free, open-source, and 100% compatible with major NLP libraries (Hugging Face transformers, spaCy, Stanford Stanza, Flair, etc.). In fact, you can use and combine your preferred...

Downloads: 1 This Week

Last Update: 2025-03-10
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7

Superlinked

Superlinked is a Python framework for AI Engineers

Superlinked is a Python framework designed for AI engineers to build high-performance search and recommendation applications that combine structured and unstructured data.

Downloads: 0 This Week

Last Update: 2025-09-18
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8

Nextpy

Self-Modifying Framework from the Future

NextPy is a Python-based framework for building AI-powered automation agents, allowing developers to create intelligent, rule-based workflows.

Downloads: 0 This Week

Last Update: 2025-01-29
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9

LangChain MCP

Model Context Protocol tool support for LangChain

langchain-mcp provides Model Context Protocol (MCP) tool support for LangChain, a framework for developing applications powered by language models. It allows developers to create an MCPToolkit with a client.

Downloads: 0 This Week

Last Update: 2025-04-08
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10

TextAttack

Python framework for adversarial attacks, and data augmentation

Generating adversarial examples for NLP models. TextAttack is a Python framework for adversarial attacks, data augmentation, and model training in NLP.

Downloads: 0 This Week

Last Update: 2024-08-07
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11

PyTensor

Python library for defining and optimizing mathematical expressions

PyTensor is a fork of Aesara, a Python library for defining, optimizing, and efficiently evaluating mathematical expressions involving multi-dimensional arrays. PyTensor is based on Theano, which has been powering large-scale computationally intensive scientific investigations since 2007. A hackable, pure-Python codebase. Extensible graph framework is suitable for rapid development of custom operators and symbolic optimizations. Implements an extensible graph transpilation framework...

Downloads: 0 This Week

Last Update: 12 hours ago
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12

Appfl

Advanced Privacy-Preserving Federated Learning framework

APPFL (Advanced Privacy-Preserving Federated Learning) is a Python framework enabling researchers to easily build and benchmark privacy-aware federated learning solutions. It supports flexible algorithm development, differential privacy, secure communications, and runs efficiently on HPC and multi-GPU setups.

Downloads: 0 This Week

Last Update: 2025-09-19
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13

Pfl Research

Simulation framework for accelerating research

A fast, modular Python framework released by Apple for privacy-preserving federated learning (PFL) simulation. Integrates with TensorFlow, PyTorch, and classical ML, and offers high-speed distributed simulation (7–72× faster than alternatives).

Downloads: 0 This Week

Last Update: 2025-09-03
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14

LLaMA Efficient Tuning

Easy-to-use LLM fine-tuning framework (LLaMA-2, BLOOM, Falcon

Easy-to-use LLM fine-tuning framework (LLaMA-2, BLOOM, Falcon, Baichuan, Qwen, ChatGLM2)

Downloads: 0 This Week

Last Update: 2025-06-16
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15

flair

A very simple framework for state-of-the-art NLP

A very simple framework for state-of-the-art NLP. Developed by Humboldt University of Berlin and friends. A powerful NLP library. Flair allows you to apply our state-of-the-art natural language processing (NLP) models to your text, such as named entity recognition (NER), sentiment analysis, part-of-speech tagging (PoS), special support for biomedical texts, sense disambiguation and classification, with support for a rapidly growing number of languages. A text embedding library. Flair has simple...

Downloads: 0 This Week

Last Update: 2025-02-05
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16

DSPy

DSPy: The framework for programming—not prompting—language models

Developed by the Stanford NLP Group, DSPy (Declarative Self-improving Python) is a framework that enables developers to program language models through compositional Python code rather than relying solely on prompt engineering. It facilitates the construction of modular AI systems and provides algorithms for optimizing prompts and weights, enhancing the quality and reliability of language model outputs.

Downloads: 0 This Week

Last Update: 2025-08-31
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17

Ray

A unified framework for scalable computing

... model and reduce training costs by using the latest optimization algorithms. Deploy your machine learning models at scale with Ray Serve, a Python-first and framework agnostic model serving framework. Scale reinforcement learning (RL) with RLlib, a framework-agnostic RL library that ships with 30+ cutting-edge RL algorithms including A3C, DQN, and PPO. Easily build out scalable, distributed systems in Python with simple and composable primitives in Ray Core.

Downloads: 0 This Week

Last Update: 2025-09-13
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18

FLEXible

Federated Learning (FL) experiment simulation in Python

FLEXible (Federated Learning Experiments) is a Python framework offering tools to simulate FL with deep learning. It includes built-in datasets (MNIST, CIFAR10, Shakespeare), supports TensorFlow/PyTorch, and has extensions for adversarial attacks, anomaly detection, and decision trees.

Downloads: 0 This Week

Last Update: 2025-07-15
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19

npcpy

The AI toolkit for the AI developer

npcpy is a Python-based agent framework and command-line toolkit (the NPC Shell) for developers to build, test, and integrate AI agents into their workflows, including both command-line and GUI interfaces via NPC Studio. Welcome to npcpy, the core library of the NPC Toolkit that supercharges natural language processing pipelines and agent tooling. npcpy is a flexible framework for building state-of-the-art applications and conducting novel research with LLMs. The structure of npcpy also allows...

Downloads: 0 This Week

Last Update: 15 hours ago
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20

Atomic Agents

Building AI agents, atomically

The Atomic Agents framework is designed around the concept of atomicity to be an extremely lightweight and modular framework for building Agentic AI pipelines and applications without sacrificing developer experience and maintainability. The framework provides a set of tools and agents that can be combined to create powerful applications. It is built on top of Instructor and leverages the power of Pydantic for data and schema validation and serialization. All logic and control flows are written...

Downloads: 0 This Week

Last Update: 2025-09-20
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21

Xfl

An Efficient and Easy-to-use Federated Learning Framework

XFL is a lightweight, high-performance federated learning framework supporting both horizontal and vertical FL. It integrates homomorphic encryption, DP, secure MPC, and optimizes network resilience. Compatible with major ML libraries and deployable via Docker or Conda.

Downloads: 0 This Week

Last Update: 2025-07-15
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22

Chroma MCP

A Model Context Protocol (MCP) server implementation

Chroma MCP Server is an implementation of the Model Context Protocol (MCP) designed to integrate large language model (LLM) applications with external data sources or tools. It offers a standardized framework to seamlessly provide LLMs with the context they require for effective operation.

Downloads: 0 This Week

Last Update: 2025-08-14
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23

BioNeMo

BioNeMo Framework: For building and adapting AI models

BioNeMo is an AI-powered framework developed by NVIDIA for protein and molecular generation using deep learning models. It provides researchers and developers with tools to design, analyze, and optimize biological molecules, aiding in drug discovery and synthetic biology applications.

Downloads: 0 This Week

Last Update: 6 days ago
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24

MindNLP

Easy-to-use and high-performance NLP and LLM framework

MindNLP is a natural language processing library built on the MindSpore framework, providing tools and models for various NLP tasks.

Downloads: 0 This Week

Last Update: 2025-04-10
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25

LightAutoML

Fast and customizable framework for automatic ML model creation

LightAutoML is an automated machine learning (AutoML) framework optimized for efficient model training and hyperparameter tuning, focusing on both tabular and text data.

Downloads: 0 This Week

Last Update: 2025-02-28
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