Showing 15058 open source projects for "research"

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    Paessler - Monitor Your Whole Network in Minutes

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  • 1
    dxy-covid-19-crawler

    dxy-covid-19-crawler

    Realtime crawler for COVID-19 outbreak statistics from DXY data

    DXY-COVID-19-Crawler is a Python-based project designed to collect real-time COVID-19 infection data from the public dataset provided by Ding Xiang Yuan (DXY). The crawler periodically retrieves pandemic statistics and stores them in a database so that historical changes in the outbreak can be preserved and analyzed later. It was created to make up-to-date infection data more accessible for developers, researchers, and analysts who wanted to build visualizations or conduct data analysis...
    Downloads: 2 This Week
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  • 2
    second-brain-ai-assistant-course

    second-brain-ai-assistant-course

    Learn to build your Second Brain AI assistant with LLMs

    ...The course provides a structured curriculum that walks learners through the architecture and implementation of a production-ready AI system powered by large language models. The concept of a “second brain” refers to a personal knowledge repository containing notes, research, and documents that can be queried and analyzed using AI. Through a series of modules, the project explains how to design data pipelines, build retrieval-augmented generation systems, and implement agent-based reasoning workflows. The course also introduces practical techniques such as dataset generation, model fine-tuning, and deployment strategies for AI applications. ...
    Downloads: 2 This Week
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  • 3
    AutoAgent

    AutoAgent

    AutoAgent: Fully-Automated and Zero-Code LLM Agent Framework

    AutoAgent is a fully automated, zero-code LLM agent framework that lets users create agents and workflows using natural language instead of manual coding and configuration. It is structured around modes that cover both “use” and “build” scenarios: a user mode for running a ready-made multi-agent research assistant, plus editors for creating individual agents or multi-agent workflows from conversational requirements. The framework emphasizes self-managing workflow generation, where it can infer steps, refine them, and adapt plans even when users cannot fully specify implementation details up front. It also describes resource orchestration and iterative self-improvement behaviors, including controlled code generation for building tools and agent capabilities when needed. ...
    Downloads: 2 This Week
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  • 4
    MegaTTS 3

    MegaTTS 3

    Official PyTorch Implementation

    MegaTTS3 is an open-source text-to-speech (TTS) and voice-cloning system from ByteDance that aims to deliver high-quality, expressive speech synthesis, including zero-shot voice cloning of previously unseen speakers. Its backbone is a lightweight diffusion-transformer (on the order of ~0.45 B parameters), which enables efficient inference while still producing high-fidelity audio. Given a reference audio sample (and corresponding latent representation), MegaTTS3 can generate speech in the...
    Downloads: 2 This Week
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  • 5
    Gemma

    Gemma

    Gemma open-weight LLM library, from Google DeepMind

    Gemma, developed by Google DeepMind, is a family of open-weights large language models (LLMs) built upon the research and technology behind Gemini. This repository provides the official implementation of the Gemma PyPI package, a JAX-based library that enables users to load, interact with, and fine-tune Gemma models. The framework supports both text and multi-modal input, allowing natural language conversations that incorporate visual content such as images.
    Downloads: 2 This Week
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  • 6
    Modlishka

    Modlishka

    Powerful and flexible HTTP reverse proxy

    ...Modlishka was written as an attempt to overcome standard reverse proxy limitations and as a personal challenge to see what is possible with sufficient motivation and a bit of extra research time. The achieved results appeared to be very interesting and the tool was initially released and later updated.
    Downloads: 2 This Week
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  • 7
    NeuralPDE.jl

    NeuralPDE.jl

    Physics-Informed Neural Networks (PINN) Solvers

    ...Built on top of the SciML ecosystem, it provides a flexible and composable interface for defining PDEs and training neural networks to approximate their solutions. NeuralPDE.jl enables hybrid modeling, data-driven discovery, and fast PDE solvers in high dimensions, making it suitable for scientific research and engineering applications.
    Downloads: 0 This Week
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  • 8
    TapeAgents

    TapeAgents

    A framework that facilitates all stages of LLM development

    TapeAgents is a framework that facilitates all stages of the Large Language Model (LLM) agent development lifecycle, providing tools for building, testing, and deploying AI agents.
    Downloads: 0 This Week
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  • 9
    Agent S

    Agent S

    Agent S: an open agentic framework that uses computers like a human

    ...It supports flexible deployment via CLI, SDK, or cloud, and integrates with multiple model providers including OpenAI, Anthropic, Gemini, Azure, and Hugging Face endpoints. With optional local code execution, reflection mechanisms, and compositional planning, Agent S provides a scalable and research-driven framework for building advanced computer-use agents.
    Downloads: 4 This Week
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  • 10
    ThuThesis

    ThuThesis

    LaTeX Thesis Template for Tsinghua University

    ThuThesis is an abbreviation of Tsinghua University Thesis LaTeX Template. This package establishes a simple and easy-to-use LaTeX template for Tsinghua dissertations, including general undergraduate research papers, masters theses, doctoral dissertations, and postdoctoral reports. This template is subject to frequent changes. Please make sure you have read the usage documentation and example code completely and carefully before using and asking questions.
    Downloads: 0 This Week
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  • 11
    MIRT.jl

    MIRT.jl

    MIRT: Michigan Image Reconstruction Toolbox (Julia version)

    MIRT.jl is a collection of Julia functions for performing image reconstruction and solving related inverse problems. It is very much still under construction, although there are already enough tools to solve useful problems like compressed sensing MRI reconstruction. Trying the demos is a good way to get started. The documentation is even more still under construction.
    Downloads: 0 This Week
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  • 12
    A website template for academics

    A website template for academics

    Jekyll website template for personal academic or research group page

    This is a statically-generated Jekyll/Liquid/Bootstrap-based website template for academics. I started with the Allan lab webpage and modified it into a personal academic webpage that met my requirements. I worked in a unique set of the features that I desired and could not find in publicly available templates elsewhere.
    Downloads: 0 This Week
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  • 13
    AutoHedge

    AutoHedge

    Build your autonomous hedge fund in minutes

    ...It also emphasizes modularity, enabling developers to customize strategies, risk parameters, and decision logic. AutoHedge is particularly useful for experimentation and research in algorithmic trading and financial automation. Overall, it represents an attempt to bring agent-based intelligence into portfolio management and risk mitigation workflows.
    Downloads: 1 This Week
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  • 14
    OP Vault

    OP Vault

    Give ChatGPT long-term memory using the OP Stack

    ...Users can query the system in natural language and receive answers that include references to specific files and sections, improving transparency and trust in the responses. The project is designed to handle large volumes of data, making it suitable for personal knowledge management, research archives, or enterprise documentation systems.
    Downloads: 1 This Week
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  • 15
    TradingAgents

    TradingAgents

    Chinese Financial Trading Framework Based on Multi-Agent LLM

    TradingAgents-CN is a Chinese-enhanced, multi-agent LLM framework aimed at building financial analysis and trading-oriented workflows, with an emphasis on collaboration between specialized agents rather than a single monolithic prompt. It organizes market-related tasks into roles and stages so different agents can contribute research, reasoning, aggregation, and decision support in a structured pipeline. The project is oriented toward practical usage, including a stack that can be run in a modern development environment and commonly paired with containerized backends, configuration files, and service components. It also pays attention to distribution and misuse risks, clearly warning users about unauthorized commercial repackaging and stating that commercial use requires explicit authorization while personal use is open.
    Downloads: 1 This Week
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  • 16
    ESPectre

    ESPectre

    Motion detection system based on Wi-Fi spectre analysis (CSI)

    ESPectre is an open-source motion detection system that transforms ordinary Wi-Fi signals into an ambient sensor capable of detecting movement without using cameras, microphones, or additional radio hardware, making it a privacy-preserving and cost-effective alternative for presence sensing and smart home automation. At its core, it analyzes Wi-Fi Channel State Information (CSI) — detailed measurements of how Wi-Fi waves change as they propagate — to mathematically detect disturbances caused...
    Downloads: 1 This Week
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  • 17
    DFlash

    DFlash

    Block Diffusion for Ultra-Fast Speculative Decoding

    DFlash is an open-source framework for ultra-fast speculative decoding using a lightweight block diffusion model to draft text in parallel with a target large language model, dramatically improving inference speed without sacrificing generation quality. It acts as a “drafter” that proposes likely continuations which the main model then verifies, enabling significant throughput gains compared to traditional autoregressive decoding methods that generate token by token. This approach has been...
    Downloads: 1 This Week
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  • 18
    DeepEval
    DeepEval is a simple-to-use, open-source LLM evaluation framework, for evaluating and testing large-language model systems. It is similar to Pytest but specialized for unit testing LLM outputs. DeepEval incorporates the latest research to evaluate LLM outputs based on metrics such as G-Eval, hallucination, answer relevancy, RAGAS, etc., which uses LLMs and various other NLP models that run locally on your machine for evaluation. Whether your application is implemented via RAG or fine-tuning, LangChain, or LlamaIndex, DeepEval has you covered. With it, you can easily determine the optimal hyperparameters to improve your RAG pipeline, prevent prompt drifting, or even transition from OpenAI to hosting your own Llama2 with confidence.
    Downloads: 1 This Week
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  • 19
    PaperQA2

    PaperQA2

    High accuracy RAG for answering questions from scientific documents

    ...See our recent 2024 paper to see examples of PaperQA2's superhuman performance in scientific tasks like question answering, summarization, and contradiction detection. In this example we take a folder of research paper PDFs, magically get their metadata - including citation counts and a retraction check, then parse and cache PDFs into a full-text search index, and finally answer the user question with an LLM agent.
    Downloads: 1 This Week
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  • 20
    BypassAntiVirus

    BypassAntiVirus

    The remote control no-kill series of articles and supporting tools

    ...Numerous security tools and research examples are collected alongside the written material. Results were historically compared against multiple antivirus engines to illustrate differences in detection behavior. Because the repository concerns defensive bypass techniques that can be misused, it is most appropriate for authorized red-team research, malware analysis, and defensive detection engineering.
    Downloads: 0 This Week
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  • 21
    LatentSync

    LatentSync

    Taming Stable Diffusion for Lip Sync

    LatentSync is an open-source framework from ByteDance that produces high-quality lip-synchronization for video by using an audio-conditioned latent diffusion model, bypassing traditional intermediate motion representations. In effect, given a source video (with masked or reference frames) and an audio track, LatentSync directly generates frames whose lip motions and expressions align with the audio, producing convincing talking-head or animated lip-sync output. The system leverages a U-Net...
    Downloads: 2 This Week
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  • 22
    FairChem

    FairChem

    FAIR Chemistry's library of machine learning methods for chemistry

    ...Version 2 modernizes the stack with a cleaner core package and breaking changes relative to V1, focusing on simpler installs and a stable API surface for production and research. The centerpiece models (e.g., UMA variants) plug directly into the ASE ecosystem via a FAIRChem calculator, so users can run relaxations, molecular dynamics, spin-state energetics, and surface catalysis workflows with the same pretrained network by switching a task flag. Tasks span heterogeneous domains—catalysis (OC20-style), inorganic materials (OMat), molecules (OMol), MOFs (ODAC), and molecular crystals (OMC)—allowing one model family to serve many simulations. ...
    Downloads: 2 This Week
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  • 23
    PyTorch Image Models

    PyTorch Image Models

    The largest collection of PyTorch image encoders / backbones

    ...Created by Ross Wightman and now maintained by Hugging Face, it includes pretrained weights, data loaders, augmentations, optimizers, schedulers, and reference scripts for training, evaluation, inference, and model export. It's an essential toolkit for vision research and production workflows.
    Downloads: 0 This Week
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  • 24
    firo

    firo

    The privacy-focused cryptocurrency

    ...Formerly known as Zcoin, Firo pioneered several innovations in privacy tech including the Lelantus protocol, which enables unlinkable and untraceable transactions without the need for trusted setup. It combines cutting-edge cryptographic research with user-friendly features, making it accessible to both everyday users and privacy advocates. Firo’s commitment to privacy extends beyond transactions into governance and community funding.
    Downloads: 0 This Week
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  • 25
    SLM Lab

    SLM Lab

    Modular Deep Reinforcement Learning framework in PyTorch

    SLM Lab is a modular and extensible deep reinforcement learning framework designed for research and practical applications. It provides implementations of various state-of-the-art RL algorithms and emphasizes reproducibility, scalability, and detailed experiment tracking. SLM Lab is structured around a flexible experiment management system, allowing users to define, run, and analyze RL experiments efficiently.
    Downloads: 0 This Week
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