Search Results for "/storage/emulated/0/android/data/net.sourceforge.uiq3.fx603p/files" - Page 60
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Teradata VantageCloud Enterprise is a data analytics platform for performing advanced analytics on AWS, Azure, and Google Cloud.VantageCloud is the complete cloud analytics and data platform, delivering harmonized data and Trusted AI for all. Built for performance, flexibility, and openness, VantageCloud enables organizations to unify diverse data sources, run complex analytics, and deploy AI models—all within a single, scalable platform.
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Create and manage the email signature you needWith WiseStamp it’s easy to unify your brand and turn your emails into a powerful marketing tool. Get the most out of your emails with a professionally designed custom email signature.
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1
Langdesk
Windows application to search multiple pdfs and chat with them
Langdesk is desktop application for windows that allows the user to assemble a knowledge base consisting of multiple pdf documents, retrieve information from them and chat with the retrieved content. Currently in BETA mode. Feel free to reach us for any request at info@tecnoesis.gr . We are currently seeking user scenarios, also open to customizations / additions / cooperation. -
2
MyFun for CLIPS
DB-Library functions which provides a MySQL interface for CLIPS
We have developed some DB-Library functions which provides a MySQL interface for CLIPS Rule Based Programming Language. See https://sourceforge.net/p/myfun-for-clips/code/HEAD/tree/63x-MyFun/Readme.md for more details. The latest snapshot is downloadable from https://sourceforge.net/p/myfun-for-clips/code/HEAD/tree/63x-MyFun/. -
3
MLP Network Configurator
interactive tool designed to help users understand how neural network
...It provides real-time training feedback, intuitive architecture visualization, and even camera-based dataset collection — ideal for students, teachers, hobbyists, and curious minds. 💡 Key Features - Data Handling: Load, normalize, and validate datasets (JSON format). - Model Configuration: Define hidden layers, activation functions, loss and optimizer types. - Training: Visualize loss curves, predictions, PCA-based class separation. - Testing: Accuracy calculation, error graphs, confusion matrix, misclassified sample montage. - Camera Dataset Builder: Capture and label images live via webcam... -
4
Universal Sentence Encoder
Encoder of greater-than-word length text trained on a variety of data
The Universal Sentence Encoder (USE) is a pre-trained deep learning model designed to encode sentences into fixed-length embeddings for use in various natural language processing (NLP) tasks. It leverages Transformer and Deep Averaging Network (DAN) architectures to generate embeddings that capture the semantic meaning of sentences. The model is designed for tasks like sentiment analysis, semantic textual similarity, and clustering, and provides high-quality sentence representations in a... -
Optimize every aspect of hiring with Greenhouse RecruitingWhat’s next for many of us is changing. Your company’s ability to hire great talent is as important as ever – so you’ll be ready for whatever’s ahead. Whether you need to scale your team quickly or improve your hiring process, Greenhouse gives you the right technology, know-how and support to take on what’s next.
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5
tic tac toe AI
simplest AI programme of tic-tac-toe game
...My future visions about this program is: v 1.0.1 --> bug fixes v 1.1 --> (added) click interaction _______________________________________________________________________________________________________________________________________________ v 1.2 --> addition of reinforcement learning (cache data different for each computer unlike v1.3). v 1.3 --> addition of cloud reinforcement learning (optional; chosen from settings). ... & more -
6
stkpp
C++ Statistical ToolKit
...At a convenience, we propose the source packages on sourceforge. The library offers a dense set of (mostly) template classes in C++ and is suitable for projects ranging from small one-off projects to complete data mining application suites. -
7
Astrape
Optical-packet node transceiver frequency allocation
...Then, configuration of the local transceiver laser frequencies of the controlled pluggable devices takes place, for facilitating the connectivity in-between the ROADM network. Also, the agent records and reports back telemetry data (feedback) which is used by the PacketCTL's resource-allocating mechanism to improve efficiency within the network topology. -
8
Knowledge + Chat
Knowledge is a tool for saving, searching, accessing, and chatting
Knowledge is an open-source desktop application designed for organizing, exploring, and interacting with information gathered from websites, documents, and other digital sources. The platform allows users to collect knowledge from multiple formats including web pages, PDF files, videos, and other documents and organize them into structured projects and subprojects. These sources can then be visualized and explored using several views such as graph, grid, table, and calendar interfaces, making it easier to understand relationships between pieces of information. The application also includes a conversational chat interface that allows users to ask questions about stored sources and receive AI-generated explanations or summaries. ... -
9
Weather Cast
A desktop weather app powered by AI
Weather app is a desktop weather app for Windows OS that shows detailed weather information for the searched city. The dashboard shows the current temperature of the city, description of temperature, pressure, wind, humidity, dew point, uv index, local time, air pollution index. -
White Labeled Fintech Software Solutions | CentrexThe Centrex products include: CRM, loan origination, loan and advance servicing software, syndication management, white labeled mobile app, money manager, underwriting, Esign, and website smart app builder. The Centrex services include: fintech software consulting, admin retainer services, and managed data cloud.
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10
HasMCP
Convert API into MCP Server in seconds
HasMCP empowers AI development by seamlessly connecting your existing APIs to Large Language Models. Its Automated OpenAPI Mapping instantly translates API documentation into LLM-usable tools, eliminating manual coding. Security is paramount, with Native MCP Elicitation Auth managing complex authentication flows like OAuth2, ensuring user credentials are never exposed. To enhance efficiency, Context Window Optimization intelligently prunes API responses using JMESPath and Goja (JS) logic,... -
11
Chinese-LLaMA-Alpaca 2
Chinese LLaMA-2 & Alpaca-2 Large Model Phase II 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 Chinese. Performance improvements. The related model supports FlashAttention-2 training, supports 4K context and can be extended up to 18K+ through the NTK method. -
12
Obsei
Obsei is a low code AI powered automation tool
Obsei is an automated no-code/low-code AI-powered text observation and analysis framework, designed for extracting insights from unstructured text data such as social media, reviews, and logs. -
13
Ubix Linux
The Pocket Datalab
Ubix stands for Universal Business Intelligence Computing System. Ubix Linux is an open-source, Debian-based Linux distribution geared towards data acquisition, transformation, analysis and presentation. Ubix Linux purpose is to offer a tiny but versatile datalab. Ubix Linux is easily accessible, resource-efficient and completely portable on a simple USB key. Ubix Linux is a perfect toolset for learning data analysis and artificial intelligence basics on small to medium datasets. ... -
14
ADAMS
ADAMS is a workflow engine for building complex knowledge workflows.
ADAMS is a flexible workflow engine aimed at quickly building and maintaining data-driven, reactive workflows, easily integrated into business processes. Instead of placing operators on a canvas and manually connecting them, a tree structure and flow control operators determine how data is processed (sequentially/parallel). This allows rapid development and easy maintenance of large workflows, with hundreds or thousands of operators. -
15
SuperAGI
A dev-first open source autonomous AI agent framework
...Control token usage to manage costs effectively. Enable your agents to learn and adapt by storing their memory. Get notified when agents get stuck in the loop, and provide proactive resolution. Read and store files generated by Agents. -
16
EmotiVoice
Multi-Voice and Prompt-Controlled TTS Engine
...EmotiVoice provides multiple ways to interact with it, including a web interface, a Docker image, an HTTP API (including an OpenAI-compatible TTS API), and Python scripts for batch synthesis. It also supports voice cloning with your own data, backed by recipes for popular datasets like DataBaker and LJSpeech, so you can train or adapt voices to custom personas. -
17
axflow
The TypeScript framework for AI development
...Its core SDK enables developers to integrate language model capabilities into web applications while maintaining strong modular design principles. Additional components support data ingestion, evaluation, and model interaction workflows that are commonly required when building production AI systems. For example, the framework includes modules for connecting application data to language models, evaluating the quality of model outputs, and building streaming user interfaces. Because each component can be used independently, developers can adopt Axflow incrementally rather than committing to a monolithic framework. ... -
18
VALL-E X
Open source implementation of Microsoft's VALL-E X zero-shot TTS model
VALL-E-X is an open-source implementation of Microsoft’s VALL-E X zero-shot text-to-speech model, focused on multilingual, cross-lingual voice cloning. It is capable of synthesizing speech in English, Chinese, and Japanese from text while mimicking the voice characteristics of a speaker given only a short 3–10 second prompt. The model attempts to match not just timbre, but also tone, pitch, emotion, and prosody of the reference audio, resulting in highly personalized output. -
19
towhee
Framework that is dedicated to making neural data processing
Towhee is an open-source machine-learning pipeline that helps you encode your unstructured data into embeddings. You can use our Python API to build a prototype of your pipeline and use Towhee to automatically optimize it for production-ready environments. From images to text to 3D molecular structures, Towhee supports data transformation for nearly 20 different unstructured data modalities. We provide end-to-end pipeline optimizations, covering everything from data decoding/encoding, to model inference, making your pipeline execution 10x faster. ... -
20
LLaMA-MoE
Building Mixture-of-Experts from LLaMA with Continual Pre-training
LLaMA-MoE is an open-source project that builds mixture-of-experts language models from LLaMA through expert partitioning and continual pre-training. The repository is centered on making MoE research more accessible by offering smaller and more affordable models with only about 3.0 to 3.5 billion activated parameters, which helps reduce deployment and experimentation costs. Its architecture works by splitting LLaMA feed-forward networks into sparse experts and adding gating mechanisms so... -
21
DB-GPT-Hub
A repository that contains models, datasets, and fine-tuning
...The project serves as a specialized extension of the broader DB-GPT ecosystem, focusing on the preparation and evaluation of models capable of translating natural language questions into structured database queries. It offers a modular framework that supports data preparation, model fine-tuning, benchmarking, and inference for Text-to-SQL systems. The repository includes datasets and experiment configurations that allow researchers to train models on real database schemas and evaluate them using standardized benchmarks. Its design encourages experimentation with different large language models and fine-tuning techniques, including parameter-efficient training approaches. -
22
TensorFlow.NET
.NET Standard bindings for Google's TensorFlow for developing models
...It aims to implement the complete Tensorflow API in C# which allows .NET developers to develop, train and deploy Machine Learning models with the cross-platform .NET Standard framework. TensorFlow.NET has built-in Keras high-level interface and is released as an independent package TensorFlow.Keras. SciSharp STACK's mission is to bring popular data science technology into the .NET world and to provide .NET developers with a powerful Machine Learning tool set without reinventing the wheel. Since the APIs are kept as similar as possible you can immediately adapt any existing TensorFlow code in C# or F# with a zero learning curve. Take a look at a comparison picture and see how comfortably a TensorFlow/Python script translates into a C# program with TensorFlow.NET. -
23
Alpaca-CoT
We unified the interfaces of instruction-tuning data
...The repository includes datasets, training scripts, and examples demonstrating how chain-of-thought data can be used to fine-tune language models. It also explores how reasoning traces generated by larger models can be distilled into smaller models. -
24
Adala
Adala: Autonomous DAta (Labeling) Agent framework
Adala is a data-centric AI framework focused on dataset curation, annotation, and validation. It helps AI teams manage high-quality training datasets by providing tools for data auditing, error detection, and quality assessment. -
25
pipeless
A computer vision framework to create and deploy apps in minutes
Pipeless is an open-source computer vision framework to create and deploy applications without the complexity of building and maintaining multimedia pipelines. It ships everything you need to create and deploy efficient computer vision applications that work in real-time in just minutes. Pipeless is inspired by modern serverless technologies. It provides the development experience of serverless frameworks applied to computer vision. You provide some functions that are executed for new...
