Showing 560 open source projects for "python programming language"

View related business solutions
  • Our Free Plans just got better! | Auth0 Icon
    Our Free Plans just got better! | Auth0

    With up to 25k MAUs and unlimited Okta connections, our Free Plan lets you focus on what you do best—building great apps.

    You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
    Try free now
  • Gen AI apps are built with MongoDB Atlas Icon
    Gen AI apps are built with MongoDB Atlas

    Build gen AI apps with an all-in-one modern database: MongoDB Atlas

    MongoDB Atlas provides built-in vector search and a flexible document model so developers can build, scale, and run gen AI apps without stitching together multiple databases. From LLM integration to semantic search, Atlas simplifies your AI architecture—and it’s free to get started.
    Start Free
  • 1
    Autolabel

    Autolabel

    Label, clean and enrich text datasets with LLMs

    Autolabel is a Python library to label, clean and enrich datasets with Large Language Models (LLMs). Autolabel data for NLP tasks such as classification, question-answering and named entity recognition, entity matching and more. Seamlessly use commercial and open-source LLMs from providers such as OpenAI, Anthropic, HuggingFace, Google and more.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 2
    Kor

    Kor

    LLM

    This is a half-baked prototype that “helps” you extract structured data from text using LLMs. Specify the schema of what should be extracted and provide some examples. Kor will generate a prompt, send it to the specified LLM and parse out the output. You might even get results back.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 3
    Nextpy

    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:
    See Project
  • 4
    MCP Neo4j

    MCP Neo4j

    Model Context Protocol with Neo4j

    An implementation of the Model Context Protocol with Neo4j, enabling natural language interactions with Neo4j databases and facilitating operations such as schema retrieval and Cypher query execution. ​
    Downloads: 0 This Week
    Last Update:
    See Project
  • Enterprise-grade ITSM, for every business Icon
    Enterprise-grade ITSM, for every business

    Give your IT, operations, and business teams the ability to deliver exceptional services—without the complexity.

    Freshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
    Try it Free
  • 5
    MCP Timeplus

    MCP Timeplus

    Execute SQL queries and manage databases seamlessly with Timeplus

    An MCP server designed for integration with Timeplus, enabling real-time data streaming and analytics through natural language interactions. ​
    Downloads: 0 This Week
    Last Update:
    See Project
  • 6
    DataDreamer

    DataDreamer

    DataDreamer: Prompt. Generate Synthetic Data. Train & Align Models

    DataDreamer is a tool designed to assist in the generation and manipulation of synthetic data for various applications, including testing and machine learning.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 7
    LightAutoML

    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:
    See Project
  • 8
    FastRAG

    FastRAG

    Efficient Retrieval Augmentation and Generation Framework

    fastRAG is a research framework for efficient and optimized retrieval augmented generative pipelines, incorporating state-of-the-art LLMs and Information Retrieval. fastRAG is designed to empower researchers and developers with a comprehensive tool set for advancing retrieval augmented generation.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 9
    BEIR

    BEIR

    A Heterogeneous Benchmark for Information Retrieval

    BEIR is a benchmark framework for evaluating information retrieval models across various datasets and tasks, including document ranking and question answering.
    Downloads: 0 This Week
    Last Update:
    See Project
  • Secure User Management, Made Simple | Frontegg Icon
    Secure User Management, Made Simple | Frontegg

    Get 7,500 MAUs, 50 tenants, and 5 SSOs free – integrated into your app with just a few lines of code.

    Frontegg powers modern businesses with a user management platform that’s fast to deploy and built to scale. Embed SSO, multi-tenancy, and a customer-facing admin portal using robust SDKs and APIs – no complex setup required. Designed for the Product-Led Growth era, it simplifies setup, secures your users, and frees your team to innovate. From startups to enterprises, Frontegg delivers enterprise-grade tools at zero cost to start. Kick off today.
    Start for Free
  • 10
    bert4torch

    bert4torch

    An elegent pytorch implement of transformers

    An elegant PyTorch implement of transformers.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 11
    GeneralAI

    GeneralAI

    Large-scale Self-supervised Pre-training Across Tasks, Languages, etc.

    Fundamental research to develop new architectures for foundation models and AI, focusing on modeling generality and capability, as well as training stability and efficiency.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 12
    TPOT

    TPOT

    A Python Automated Machine Learning tool that optimizes ML

    Consider TPOT your Data Science Assistant. TPOT is a Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming. TPOT stands for Tree-based Pipeline Optimization Tool. Consider TPOT your Data Science Assistant. TPOT is a Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 13
    PandasAI

    PandasAI

    PandasAI is a Python library that integrates generative AI

    PandasAI is a Python library that adds Generative AI capabilities to pandas, the popular data analysis and manipulation tool. It is designed to be used in conjunction with pandas, and is not a replacement for it. PandasAI makes pandas (and all the most used data analyst libraries) conversational, allowing you to ask questions to your data in natural language. For example, you can ask PandasAI to find all the rows in a DataFrame where the value of a column is greater than 5, and it will return...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 14
    DataProfiler

    DataProfiler

    Extract schema, statistics and entities from datasets

    DataProfiler is an AI-powered tool for automatic data analysis and profiling, designed to detect patterns, anomalies, and schema inconsistencies in structured and unstructured datasets. The DataProfiler is a Python library designed to make data analysis, monitoring, and sensitive data detection easy. Loading Data with a single command, the library automatically formats & loads files into a DataFrame. Profiling the Data, the library identifies the schema, statistics, entities (PII / NPI...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 15
    MiniMind

    MiniMind

    Train a 26M-parameter GPT from scratch in just 2h

    minimind is a framework that enables users to train a 26-million-parameter GPT (Generative Pre-trained Transformer) model from scratch in approximately two hours. It provides a streamlined process for data preparation, model training, and evaluation, making it accessible for individuals and organizations to develop their own language models without extensive computational resources.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 16
    R1-V

    R1-V

    Witness the aha moment of VLM with less than $3

    R1-V is an initiative aimed at enhancing the generalization capabilities of Vision-Language Models (VLMs) through Reinforcement Learning in Visual Reasoning (RLVR). The project focuses on building a comprehensive framework that emphasizes algorithm enhancement, efficiency optimization, and task diversity to achieve general vision-language intelligence and visual/GUI agents. The team's long-term goal is to contribute impactful open-source research in this domain.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 17
    Dataherald

    Dataherald

    Interact with your SQL database, Natural Language to SQL using LLMs

    Dataherald is a platform that allows users to query structured databases using natural language, automatically converting plain English into SQL. It is designed to enable real-time, self-service analytics without needing technical knowledge of databases, making business data easily accessible to non-technical users. Dataherald focuses on speed, accuracy, and scalability for enterprise settings.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 18
    Tianji

    Tianji

    Evaluation suite designed to assess the performance of LLMs

    Tianji is a comprehensive evaluation suite designed to assess the performance of large language models (LLMs) across multiple dimensions. It focuses on measuring general capabilities such as reasoning, knowledge, commonsense, and language understanding. Tianji provides a curated set of benchmarks and a unified framework for systematically comparing LLMs, making it useful for research and model selection.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 19
    MegaParse

    MegaParse

    File Parser optimised for LLM Ingestion with no loss

    MegaParse is a file parser optimized for Large Language Model (LLM) ingestion, ensuring no loss of information. It efficiently parses various document formats, such as PDFs, DOCX, and PPTX, converting them into formats ideal for processing by LLMs. This tool is essential for applications that require accurate and comprehensive data extraction from diverse document types.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 20
    NeMo Curator

    NeMo Curator

    Scalable data pre processing and curation toolkit for LLMs

    NeMo Curator is a Python library specifically designed for fast and scalable dataset preparation and curation for large language model (LLM) use-cases such as foundation model pretraining, domain-adaptive pretraining (DAPT), supervised fine-tuning (SFT) and paramter-efficient fine-tuning (PEFT). It greatly accelerates data curation by leveraging GPUs with Dask and RAPIDS, resulting in significant time savings. The library provides a customizable and modular interface, simplifying pipeline...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 21
    Chronos Forecasting

    Chronos Forecasting

    Pretrained (Language) Models for Probabilistic Time Series Forecasting

    Chronos is a family of pretrained time series forecasting models based on language model architectures. A time series is transformed into a sequence of tokens via scaling and quantization, and a language model is trained on these tokens using the cross-entropy loss. Once trained, probabilistic forecasts are obtained by sampling multiple future trajectories given the historical context. Chronos models have been trained on a large corpus of publicly available time series data, as well...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 22
    Kaleidoscope-SDK

    Kaleidoscope-SDK

    User toolkit for analyzing and interfacing with Large Language Models

    kaleidoscope-sdk is a Python module used to interact with large language models hosted via the Kaleidoscope service available at: https://github.com/VectorInstitute/kaleidoscope. It provides a simple interface to launch LLMs on an HPC cluster, asking them to perform basic features like text generation, but also retrieve intermediate information from inside the model, such as log probabilities and activations. Users must authenticate using their Vector Institute cluster credentials. This can...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 23
    Codeflash

    Codeflash

    Optimize your code automatically with AI

    Codeflash is a general-purpose optimizer for Python that uses advanced large language models (LLMs) to automatically generate, test, and benchmark multiple optimization ideas, then creates merge-ready pull requests with the best improvements for your code.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 24
    TorchDistill

    TorchDistill

    A coding-free framework built on PyTorch

    torchdistill (formerly kdkit) offers various state-of-the-art knowledge distillation methods and enables you to design (new) experiments simply by editing a declarative yaml config file instead of Python code. Even when you need to extract intermediate representations in teacher/student models, you will NOT need to reimplement the models, which often change the interface of the forward, but instead specify the module path(s) in the yaml file. In addition to knowledge distillation...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 25
    deepdoctection

    deepdoctection

    A Repo For Document AI

    DeepDoctection is a document AI framework that applies deep learning techniques to analyze and extract structured data from scanned documents, PDFs, and images. deepdoctection is a Python library that orchestrates document extraction and document layout analysis tasks using deep learning models. It does not implement models but enables you to build pipelines using highly acknowledged libraries for object detection, OCR and selected NLP tasks and provides an integrated frameworks for fine-tuning...
    Downloads: 0 This Week
    Last Update:
    See Project
Want the latest updates on software, tech news, and AI?
Get latest updates about software, tech news, and AI from SourceForge directly in your inbox once a month.