645 projects for "python ai" with 2 filters applied:

  • Build Agents and Models on One Platform Icon
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  • 1
    Chinese-LLaMA-Alpaca 2

    Chinese-LLaMA-Alpaca 2

    Chinese LLaMA-2 & Alpaca-2 Large Model Phase II Project

    This project is developed based on the commercially available large model Llama-2 released by Meta. It is the second phase of the Chinese LLaMA&Alpaca large model project. The Chinese LLaMA-2 base model and the Alpaca-2 instruction fine-tuning large model are open-sourced. These models expand and optimize the Chinese vocabulary on the basis of the original Llama-2, use large-scale Chinese data for incremental pre-training, and further improve the basic semantics and command understanding of...
    Downloads: 0 This Week
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  • 2
    DeepSeek MoE

    DeepSeek MoE

    Towards Ultimate Expert Specialization in Mixture-of-Experts Language

    DeepSeek-MoE (“DeepSeek MoE”) is the DeepSeek open implementation of a Mixture-of-Experts (MoE) model architecture meant to increase parameter efficiency by activating only a subset of “expert” submodules per input. The repository introduces fine-grained expert segmentation and shared expert isolation to improve specialization while controlling compute cost. For example, their MoE variant with 16.4B parameters claims comparable or better performance to standard dense models like DeepSeek 7B...
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  • 3
    Resemble Enhance

    Resemble Enhance

    AI powered speech denoising and enhancement

    Resemble Enhance is an AI-powered speech enhancement tool focused on improving the quality of recorded or generated voice audio. It combines denoising and enhancement so speech can sound cleaner, clearer, and more polished. The denoising module separates speech from unwanted background noise, while the enhancement module improves perceptual quality by restoring distortions and extending audio bandwidth. It is useful for voice datasets, podcasts, narration, generated speech, and other...
    Downloads: 6 This Week
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  • 4
    Extended Dreambooth How-To Guides

    Extended Dreambooth How-To Guides

    Implementation of Dreambooth

    Extended Dreambooth How-To Guides is an implementation and extended toolkit for fine-tuning Stable Diffusion models using the DreamBooth technique, enabling users to train AI image generators to reproduce specific subjects, styles, or identities from a small set of reference images. The project adapts and expands upon earlier DreamBooth research by providing practical scripts, notebooks, and workflows that allow users to train personalized models on local machines, cloud environments, or...
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    Custom VMs From 1 to 96 vCPUs With 99.95% Uptime

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  • 5
    GPT-2 Output Dataset

    GPT-2 Output Dataset

    Dataset of GPT-2 outputs for research in detection, biases, and more

    The GPT-2 Output Dataset is a large collection of model-generated text, released by OpenAI alongside the GPT-2 research paper to study the behaviors and limitations of large language models. It contains 250,000 samples of GPT-2 outputs, generated with different sampling strategies such as top-k truncation, to highlight the diversity and quality of model completions. The dataset also includes corresponding human-written text for comparison, enabling researchers to explore methods for...
    Downloads: 2 This Week
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  • 6
    Style Aligned

    Style Aligned

    Official code for Style Aligned Image Generation via Shared Attention

    StyleAligned is a diffusion-model editing technique and codebase that preserves the visual “style” of an original image while applying new semantic edits driven by text. Instead of fully re-generating an image—and risking changes to lighting, texture, or rendering choices—the method aligns internal features across denoising steps so the target edit inherits the source style. This alignment acts like a constraint on the model’s evolution, steering composition, palette, and brushwork even as...
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  • 7
    State of Open Source AI

    State of Open Source AI

    Clarity in the current fast-paced mess of Open Source innovation

    This repository is the source for a book (or large written work) titled “The State of Open Source AI”. The goal of the project is to bring clarity to the rapidly evolving open-source AI ecosystem by documenting trends, models, tools, standards, deployment practices, and challenges. It acts as both a snapshot and a guide: readers can see what’s “hot now” in open AI infrastructure, what open licensing or governance issues are emerging, how deployment options compare, and what gaps remain....
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  • 8
    RAGs

    RAGs

    Build ChatGPT over your data, all with natural language

    RAGs is an open-source application designed to simplify the creation of retrieval-augmented generation pipelines through an interactive interface. Built with Streamlit and powered by the LlamaIndex ecosystem, the tool allows users to construct AI assistants that answer questions using their own data sources. Instead of requiring extensive programming knowledge, the application allows users to configure and build a RAG system using natural language instructions. The system automatically...
    Downloads: 2 This Week
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  • 9
    DPM-Solver

    DPM-Solver

    Fast ODE Solver for Diffusion Probabilistic Model Sampling

    DPM-Solver is a machine learning research implementation focused on accelerating the sampling process in diffusion probabilistic models used for generative AI tasks. Diffusion models are powerful generative systems capable of producing high-quality images and other data, but traditional sampling methods often require hundreds or thousands of computational steps. The project introduces a specialized numerical solver designed to approximate the diffusion process using a small number of...
    Downloads: 0 This Week
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  • 10
    Shap-E

    Shap-E

    Generate 3D objects conditioned on text or images

    The shap-e repository provides the official code and model release for Shap-E, a conditional generative model designed to produce 3D assets (implicit functions, meshes, neural radiance fields) from text or image prompts. The model is built with a two-stage architecture: first an encoder that maps existing 3D assets into parameterizations of implicit functions, and then a conditional diffusion model trained on those parameterizations to generate new assets. Because it works at the level of...
    Downloads: 0 This Week
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  • 11
    Chinese Llama 2 7B

    Chinese Llama 2 7B

    The first Chinese LLaMA2 model in the open source community

    Chinese Llama 2 7B is an open-source large language model adapted from the LLaMA-2 architecture and optimized for Chinese and bilingual Chinese-English applications. The project provides a version of LLaMA-2 that has been further trained on Chinese data so it can better understand and generate text in Chinese while maintaining compatibility with the original model ecosystem. In addition to the model weights, the repository also includes supervised fine-tuning datasets and training resources...
    Downloads: 0 This Week
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  • 12
    MusicLM - Pytorch

    MusicLM - Pytorch

    Implementation of MusicLM music generation model in Pytorch

    Implementation of MusicLM, Google's new SOTA model for music generation using attention networks, in Pytorch. They are basically using text-conditioned AudioLM, but surprisingly with the embeddings from a text-audio contrastive learned model named MuLan. MuLan is what will be built out in this repository, with AudioLM modified from the other repository to support the music generation needs here.
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  • 13
    ControlNet

    ControlNet

    Let us control diffusion models

    ControlNet is a neural network architecture designed to add conditional control to text-to-image diffusion models. Rather than training from scratch, ControlNet “locks” the weights of a pre-trained diffusion model and introduces a parallel trainable branch that learns additional conditions—like edges, depth maps, segmentation, human pose, scribbles, or other guidance signals. This allows the system to control where and how the model should focus during generation, enabling users to steer...
    Downloads: 2 This Week
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  • 14
    Complete Machine Learning Package

    Complete Machine Learning Package

    A comprehensive machine learning repository containing 30+ notebooks

    Complete Machine Learning Package repository is a comprehensive educational collection of machine learning notebooks designed to teach core data science and AI concepts through practical coding examples. The project includes more than thirty notebooks that cover a wide range of topics including data analysis, statistical modeling, neural networks, and deep learning. Each notebook introduces theoretical ideas and then demonstrates how to implement them using Python libraries commonly used in data science, such as NumPy, pandas, scikit-learn, and TensorFlow. ...
    Downloads: 0 This Week
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  • 15
    FastViT

    FastViT

    This repository contains the official implementation of research

    FastViT is an efficient vision backbone family that blends convolutional inductive biases with transformer capacity to deliver strong accuracy at mobile and real-time inference budgets. Its design pursues a favorable latency-accuracy Pareto curve, targeting edge devices and server scenarios where throughput and tail latency matter. The models use lightweight attention and carefully engineered blocks to minimize token mixing costs while preserving representation power. Training and inference...
    Downloads: 0 This Week
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  • 16
    LLM Cookbook

    LLM Cookbook

    LLM Introduction Tutorial for Developers, Chinese version

    LLM Cookbook is an open-source learning repository designed to help developers understand how to build applications powered by large language models through practical examples and translated course material. The project adapts and reproduces content from widely known LLM developer courses and reorganizes it into a structured learning path tailored for developers who want to build real AI applications. It covers the essential topics required to start working with LLM APIs and frameworks,...
    Downloads: 1 This Week
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  • 17
    revChatGPT

    revChatGPT

    Reverse engineered ChatGPT API

    Reverse Engineered ChatGPT API by OpenAI. Extensible for chatbots etc. This is not an official OpenAI product.
    Downloads: 1 This Week
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  • 18
    Consistency Models

    Consistency Models

    Official repo for consistency models

    consistency_models is the repository for Consistency Models, a new family of generative models introduced by OpenAI that aim to generate high-quality samples by mapping noise directly into data — circumventing the need for lengthy diffusion chains. It builds on and extends diffusion model frameworks (e.g. based on the guided-diffusion codebase), adding techniques like consistency distillation and consistency training to enable fast, often one-step, sample generation. The repo is implemented...
    Downloads: 0 This Week
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  • 19
    GPT-Code UI

    GPT-Code UI

    An open source implementation of OpenAI's ChatGPT Code interpreter

    An open source implementation of OpenAI's ChatGPT Code interpreter. Simply ask the OpenAI model to do something and it will generate & execute the code for you. You can put a .env in the working directory to load the OPENAI_API_KEY environment variable. For Azure OpenAI Services, there are also other configurable variables like deployment name. See .env.azure-example for more information. Note that model selection on the UI is currently not supported for Azure OpenAI Services.
    Downloads: 0 This Week
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  • 20
    Edge GPT

    Edge GPT

    Reverse engineered API of Microsoft's Bing Chat

    EdgeGPT is a reverse-engineered client project that exposed a programmatic interface to Microsoft’s Bing Chat experience (often associated with “Edge” due to access patterns and requirements at the time). It was built to let developers run prompts and retrieve responses through scripts and applications, effectively turning the chat experience into something that could be automated and integrated into tools. The repository gained popularity because it provided a practical way to experiment...
    Downloads: 0 This Week
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  • 21
    Bard

    Bard

    Python SDK/API for reverse engineered Google Bard

    ...The repository typically includes authentication handling, session management, and request/response serialization so that developers don’t have to deal with low-level HTTP details. Users can integrate Bard into Python scripts, chatbots, or local testing environments where conversational AI is useful but an official API isn’t yet available.
    Downloads: 0 This Week
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  • 22
    AI-powered enterprise search engine

    AI-powered enterprise search engine

    AI-powered enterprise search engine

    AI-powered enterprise search engine is an open-source, AI-powered enterprise search engine designed to help organizations quickly locate and retrieve information scattered across multiple internal tools, documents, and communication platforms. It enables users to search across sources such as Slack, Confluence, Jira, Google Drive, and other enterprise systems, consolidating fragmented knowledge into a single, unified search experience. By leveraging natural language processing, Gerev allows...
    Downloads: 0 This Week
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  • 23
    Promptify

    Promptify

    se GPT or other prompt based models to get structured output

    Promptify is an open-source Python library designed to simplify prompt engineering and the development of natural language processing pipelines using large language models. The project provides tools that help developers generate structured prompts for different NLP tasks and apply them across multiple generative AI systems. Instead of manually crafting prompts for each task, Promptify introduces a unified architecture that combines prompt templates, language model interfaces, and processing pipelines into a single framework. ...
    Downloads: 0 This Week
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  • 24
    Free-Auto-GPT

    Free-Auto-GPT

    Free AutoGPT enables autonomous AI tasks without paid APIs

    Free Auto GPT is an open source project that delivers a simplified version of an autonomous AI agent capable of completing tasks independently. It allows users to run an AutoGPT-style system without relying on paid OpenAI APIs, making it more accessible for experimentation and personal use. Free Auto GPT can take a goal, break it into smaller steps, and execute actions in a loop to achieve results with minimal human input. Designed for ease of use, the project focuses on removing cost...
    Downloads: 6 This Week
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  • 25
    GLM-130B

    GLM-130B

    GLM-130B: An Open Bilingual Pre-Trained Model (ICLR 2023)

    GLM-130B is an open bilingual (English and Chinese) dense language model with 130 billion parameters, released by the Tsinghua KEG Lab and collaborators as part of the General Language Model (GLM) series. It is designed for large-scale inference and supports both left-to-right generation and blank filling, making it versatile across NLP tasks. Trained on over 400 billion tokens (200B English, 200B Chinese), it achieves performance surpassing GPT-3 175B, OPT-175B, and BLOOM-176B on multiple...
    Downloads: 0 This Week
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