Search Results for "tasks" - Page 67
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Showing 3767 open source projects for "tasks"
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Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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Arthur Bench
Bench is a tool for evaluating LLMs for production use cases
Bench is a tool for evaluating LLMs for production use cases. Whether you are comparing different LLMs, considering different prompts, or testing generation hyperparameters like temperature and # tokens, Bench provides one touch point for all your LLM performance evaluation. -
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Deep Learning Models
A collection of various deep learning architectures, models, and tips
...The code favors readability and pedagogy: components are organized so you can trace data flow through layers, losses, optimizers, and evaluation. Examples span fundamental architectures—MLPs, CNNs, RNN/Transformers—and practical tasks like image classification or text modeling. Reproducible training scripts and configuration files make it straightforward to rerun experiments or adapt them to your own datasets. The repo often pairs implementations with notes on design choices and trade-offs, turning it into both a toolbox and a learning resource. It’s suitable for students, researchers prototyping ideas, and practitioners who want clean baselines before adding complexity. -
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Ailice
AIlice is a fully autonomous, general-purpose AI agent
AIlice is an open-source autonomous AI agent framework built to function as a general-purpose assistant that can plan, decompose, and execute complex tasks through a structured multi-agent architecture. The project presents itself as a standalone assistant powered by open-source language models, with an internal design that treats user requests almost like executable programs rather than simple chat prompts. Its core IACT architecture allows the system to break large goals into smaller sub-tasks, assign them to dynamically created agents, and combine the results with a focus on resilience and fault tolerance. ... -
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AI Employe
Create browser automation as if you were teaching a human using GPT-4
...There are several techniques for this, ranging from sending a shortened form of HTML to GPT-3, creating a bounding box with IDs and sending it to GPT-4-vision to take actions, or directly asking GPT-4-vision to obtain the X and Y coordinates of the element. However, none of these methods were reliable; they all led to hallucinations. To prevent GPT from derailing from tasks, we use a technique that is akin to retrieval-augmented generation, but we kind of call it Actions Augmented Generation. Essentially, when a user creates a workflow, we don't record the screen, microphone, or camera, but we do record the DOM element changes for every action (clicking, typing, etc.) the user takes. -
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Streamline Analyst
AI agent that streamlines the entire process of data analysis
Streamline Analyst is a cutting-edge, open-source application powered by Large Language Models (LLMs) designed to revolutionize data analysis. This Data Analysis Agent effortlessly automates all the tasks such as data cleaning, preprocessing, and even complex operations like identifying target objects, partitioning test sets, and selecting the best-fit models based on your data. With Streamline Analyst, results visualization and evaluation become seamless. -
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HDcube
This is an ESRGAN model trained specifically for upscaling GameCube
...It can be used for all image formats supported by Gamecube and Wii hardware and can remove its typical artifacts like CMPR Block Compression (DXT1 algorithm, also known as BC1), color palette errors, color reduction up to 8bit color depth and 1bit alpha depth. I recommend chaiNNer, which offers a graphical user interface and is based on a node system that can be used to solve very simple as well as very complex tasks effectively by "chaining" nodes together. You get the best quality if you upscale the alpha channel separately. -
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go-dork
Fast Go-based CLI scanner for running automated search engine dorks
go-dork is an open source command-line tool designed to automate search engine dorking and reconnaissance tasks. Written in the Go programming language, it focuses on speed and efficiency when executing advanced search queries across multiple search engines. It allows users to run specialized queries, often referred to as “dorks,” to discover publicly exposed data, misconfigurations, or potentially vulnerable resources. It supports several major search engines and enables users to switch between them depending on the target or query requirements. go-dork can retrieve results from multiple pages of search results and process them sequentially for broader coverage during scans. go-dork also supports custom HTTP headers and proxy configuration, which can help users work around restrictions such as captchas or filtering mechanisms. ... -
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TensorFlow Hub
A library for transfer learning by reusing parts of TensorFlow models
...Through TensorFlow Hub, researchers and practitioners can share reusable model components such as image classifiers, text embedding models, and object detection networks. These models can be loaded directly into TensorFlow pipelines and fine-tuned for new tasks using transfer learning techniques. The repository supports contributions from the community, allowing developers to submit models that become available for use by other machine learning practitioners. By enabling reusable model modules, TensorFlow Hub significantly reduces development time and computational cost when building machine learning systems. -
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YAYI
Repo for YaYi Chinese LLMs based on LlaMA2 & BLOOM
YAYI is an open-source large language model project developed to provide a multilingual conversational AI system capable of performing a wide variety of natural language processing tasks. The model is trained on diverse datasets covering multiple languages and domains so that it can support applications ranging from dialogue systems to text analysis and knowledge retrieval. The architecture is based on transformer-style language models optimized for conversational understanding and generation. In addition to producing coherent responses, the system is designed to handle tasks such as summarization, translation, question answering, and text classification. ... -
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DeepSeek LLM
DeepSeek LLM: Let there be answers
...The architecture mirrors established decoder-only transformer families: pre-norm structure, rotational embeddings (RoPE), grouped query attention (GQA), and mixing in languages and tasks. It supports both “Base” (foundation model) and “Chat” (instruction / conversation tuned) variants. -
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Weak-to-Strong
Implements weak-to-strong learning for training stronger ML models
...The project provides tools for training larger “strong” models using labels or guidance generated by smaller “weak” models. Its core functionality focuses on binary classification tasks, with support for fine-tuning pretrained language models and experimenting with different loss functions, including confidence-based auxiliary losses. The repository also includes a dedicated vision module for applying weak-to-strong training setups in computer vision, demonstrated with models such as AlexNet and DINO on ImageNet. ... -
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vimwiki
Personal Wiki for Vim
...Three markup syntaxes supported, Vimwiki's own syntax, Markdown, MediaWiki. Export everything to HTML, link to other wiki pages and external files, search through all wiki pages. Outline notes and tasks in indented lists, quickly manipulate numbered and bulleted lists, tag wiki pages or arbitrary places and quickly jump to tags, abd auto-formatted tables. A VimWiki link can be constructed from more than one word. Just visually select the words to be linked and press Enter. -
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H5P Music Notation
A collection of packages to support music related tasks in H5P.
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pdf combiner merger converter splitter
PDF Combiner is a user-friendly, GUI-based tool built in
PDF Combiner is a user-friendly open source free to use, GUI-based tool for combining, pdf to excel, pdf to word, image to pdf, zip, unzip annotate and splitting PDF files. It is easy to use, supports multiple file insert and delete and process, and allows you to adjust the order of files before combining. -
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socialscan
Scan platforms to check username and email account usage
...It allows users to quickly determine if a specific username or email address is already in use across multiple services, making it useful for security research, digital investigations, and account enumeration tasks. It focuses on accuracy by querying platform endpoints in a way that reliably detects whether a credential exists without producing misleading results. Socialscan can be used both as a Python library and as a command-line utility, making it flexible for developers and analysts alike. It uses asynchronous networking to perform multiple queries efficiently, enabling fast scans across different services. ... -
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CAMPARI
Software for molecular simulations and trajectory analysis
We are proud to introduce version 5 of CAMPARI. We have added a number of new features, most notably a Python interface for interpreting user-supplied code (with the help of ForPy), a novel trajectory storage standard (with the help of libpqxx/PostgreSQL), and a module for performing transition path theory. Naturally, CAMPARI continues to provide the reference implementation of the ABSINTH force field paradigm and implicit solvation model. CAMPARI is a joint package for performing and... -
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Wikipedia2Vec
A tool for learning vector representations of words and entities
Wikipedia2Vec is an embedding learning tool that creates word and entity vector representations from Wikipedia, enabling NLP models to leverage structured and contextual knowledge. -
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vocal-separate
An extremely simple tool for separating vocals and background music
vocal-separate is a simple but effective audio processing application that isolates vocals and instrumental tracks from music and video files using stem-based source separation models, enabling tasks such as karaoke creation, remixing, and music analysis. Built as a localized web-based tool, it runs entirely on the user’s machine without requiring an internet connection, emphasizing privacy and convenience for creative work. Users can drag and drop an audio or video file onto the interface to begin separation, choosing between two, four, or five stems, which allows isolating specific components like vocals, bass, drums, or piano depending on the chosen model. ... -
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Code Crusader
Integrated Development Environment (IDE)
Code Crusader is a graphical Integrated Development Environment (IDE) designed to smoothly integrate the tasks of working with source files, compiling, and debugging, in short everything involved in developing code. FAQ: https://github.com/jafl/jx-ide/blob/main/code_crusader/README.md ChangeLog: http://codecrusader.sourceforge.net/ChangeLog.html -
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sketch
AI code-writing assistant that understands data content
...The tool integrates directly into pandas dataframes through an extension, making it easy to use within existing Python workflows without requiring additional IDE plugins. Sketch supports a variety of tasks including data cleaning, feature engineering, visualization, and exploratory analysis, all driven by simple natural language prompts. It also includes advanced capabilities for generating structured outputs and applying transformations directly to datasets, reducing the need for manual coding. -
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Path-Creator
Path creation asset for Unity game development
Path Creator is a Unity tool that allows developers to design and manipulate smooth paths using Bezier curves for use in games and simulations. It provides an intuitive editor interface where users can create paths visually and adjust control points to shape curves precisely. The tool is widely used for tasks such as character movement, camera paths, and object animation along predefined routes. It supports features like automatic path smoothing, looped paths, and adjustable resolution for fine control over movement precision. The system also includes runtime functionality, enabling objects to follow paths dynamically during gameplay. ... -
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Instrument Monitor
Instrument Monitor - System Monitoring and Log Tracking Tool
...It provides real-time log tailing, service monitoring, system reboot capabilities, and customizable alerts. With support for log filtering, search, and cross-platform compatibility, Instrument Monitor simplifies system administration tasks. Developed using Lazarus and Free Pascal, it welcomes community contributions. Download now and take control of your systems! For more information, visit https://vonwallace.com -
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HardenLinux
Shell Script to Harden Default Values in Linux Distributions
HardenLinux is a shell script designed to harden default values in Linux distributions and assist with malware removal. With root permissions, it can perform many tasks listed in a menu. As a script, HardenLinux is highly documented and easy to comprehend. -
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Firefly LLM
A large model training tool that supports training large models
Firefly is an open-source framework designed to simplify the training and fine-tuning of large language models through a unified and configurable workflow. The project provides a comprehensive environment where developers can perform tasks such as model pre-training, instruction tuning, and preference optimization using widely adopted machine learning techniques. Its architecture supports both full-parameter training and parameter-efficient strategies like LoRA and QLoRA, making it suitable for environments with limited computational resources. Firefly is compatible with a wide range of popular open-source models including LLaMA, Qwen, Baichuan, InternLM, and Mistral, enabling developers to experiment with different architectures using a consistent training pipeline. ... -
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Punica
Serving multiple LoRA finetuned LLM as one
Punica is a system designed to efficiently serve multiple LoRA-fine-tuned large language models within a shared GPU environment. LoRA is a parameter-efficient fine-tuning method that allows developers to adapt large pretrained models to specific tasks by adding lightweight adapter layers rather than retraining the entire model. Punica introduces a serving architecture that allows multiple LoRA adapters to share the same base model during inference, significantly reducing memory consumption and computational overhead. The system includes specialized CUDA kernels that enable batched GPU operations across different LoRA models simultaneously. ...
