Search Results for "/storage/emulated/0/android/data/net.sourceforge.uiq3.fx603p/files" - Page 89
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Showing 2243 open source projects for "/storage/emulated/0/android/data/net.sourceforge.uiq3.fx603p/files"
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Contractor Foreman is the most affordable all-in-one construction management software for contractors and is trusted by contractors in more than 75 countries.Starting at $49/m for the WHOLE company, Contractor Foreman is the most affordable all-in-one construction management system for contractors. Our customers in 75+ countries and industry awards back it up. And it's all backed by a 100 day guarantee.
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The purpose of SNX is to have a modular series of components that report back to a central repository and 'AI' for pattern recognition and anomoly detection. This is to help with IDS systems, and to move to the next generation of security.
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Pattern recognition software package. It includes several classification and clustering algorithms. It can read data from a set of images, an ASCII file or a JDBC connection. A small TCP data server with its corresponding JDBC driver is included.
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Anna is a set of AIML files designed to create a chat bot that will win the 2002 Loebner Prize. Anna is a fundamental departure from other bots in that she identifies herself as human and has her personality built up from there.
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Enterprise Job Scheduling SoftwareManaging your sprawling data center and cloud with disparate native schedulers creates chaos. Achieve unparalleled control and efficiency over your entire IT environment with JAMS job orchestration tools. JAMS provides the singular, centralized platform required to overcome the complexities of disparate native schedulers. Automate, secure, and govern all your workloads, eliminating fragmented control, compliance risks, and operational bottlenecks. JAMS streamlines operations and ensures audit-ready history, transforming your enterprise automation with confidence and precision.
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*** This page is no longer used by the Dasher project - please see http://www.inference.phy.cam.ac.uk/dasher/ *** Dasher is a data entry interface incorporating language modelling and driven by continuous two-dimensional gestures, e.g. a mouse, a stylus
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UMDS is small, strong and expansible project. The model offers a uniform method of conceptual view of the diverse data as a sequence of bits and a uniform method of keeping and processing this sequence on the external storage.
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If you are looking for a way to get WordNetŽ 's data into your relational DBMS, wordnet2sql is what you need!
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Fungus is a framework for distributed simulation by multi-agents. It uses a very modular architecture. A GUI is provided. In our model, everything is Agent. Even the environnement. You have an access to the communication's 'canals'.
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LFReD. One of the most powerful conversational AI projects and the closest thing to a fully functioning HAL 9000 anywhere. Additional files will be released shortly. Plans to port to C++ and Python in the works.
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Manage and optimise Google, Facebook and Microsoft Ads faster and gain a competitive advantage with our digital advertising platform.Slash the time it takes to manage and optimize your Google, Microsoft Advertising or Facebook Ads campaigns to just minutes a day. Adzooma's AI and machine learning based PPC platform offers stress free campaign management, state of the art 24/7 optimization and advanced automation, all in a simple to use interface. Scan for 50+ improvement 'opportunities', many of which can be actioned with a single click, track PPC performance and highlight over/under spending to improve your quality score, conversions and ROI. These trying times are tough for all. So we're giving away our whole award-winning platform for free until June 1st 2020. That's automated PPC ads, one-click optimisations, and world-class reporting - at zero cost. No strings attached. No credit card required.
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Development of a snazzy Java program to simulate the growth and competition of entities in a limited environment.
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pySPACE
Signal Processing and Classification Environment in Python using YAML
pySPACE is a modular software for processing of large data streams that has been specifically designed to enable distributed execution and empirical evaluation of signal processing chains. Various signal processing algorithms (so called nodes) are available within the software, from finite impulse response filters over data-dependent spatial filters (e.g. CSP, xDAWN) to established classifiers (e.g. -
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C++ library that implements basic data structures and algorithms for computer vision and image processing applications
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The ROSETTA C++ library is a collection of C++ classes and routines that enable discernibility-based empirical modelling and data mining. Comprises useful routines for machine learning in general and for rough set theory in particular.
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pyBoids is a free/open-source project that implements (in Python/TKinter) Craig Reynold's famous boids algorithm. This algorithm intelligently simulates flocking, herding, swarming, and schooling behavior as found in nature.
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The Data Fusion Peer is a multitier computer vision internet application. The system provides image processing, motion tracking, and visualization information. Application will convert data into 3-Deminsional and other digital environments.
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CLIP-ViT-bigG-14-laion2B-39B-b160k
CLIP ViT-bigG/14: Zero-shot image-text model trained on LAION-2B
...Developed by LAION and trained by Mitchell Wortsman on Stability AI’s compute infrastructure, it pairs a ViT-bigG/14 vision transformer with a text encoder to perform contrastive learning on image-text pairs. This model excels at zero-shot image classification, image-to-text and text-to-image retrieval, and can be adapted for tasks such as image captioning or generation guidance. It achieves an impressive 80.1% top-1 accuracy on ImageNet-1k without any fine-tuning, showcasing its robustness in open-domain settings. Its training dataset is uncurated and web-sourced, meaning it reflects the biases and risks of large-scale internet data. ... -
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Ztooly
Ztooly is a comprehensive collection of 50+ free online tools designed
Ztooly is a comprehensive collection of 50+ free online tools designed to boost productivity and simplify everyday tasks. From AI-powered generators to image editing, data conversion, PDF handling, social tools, and more — Ztooly is your all-in-one web toolkit. -
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Interlogy - next generation knowledge storage and prezentation system. Gives wide functionality for knwoledge evaluation. Interlogy is the same as forum, wiki, chat, socialnetwork, but all together.
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OpenVLA 7B
Vision-language-action model for robot control via images and text
...It takes camera images and natural language instructions as input and outputs normalized 7-DoF robot actions, enabling control of multiple robot types across various domains. Built on top of LLaMA-2 and DINOv2/SigLIP visual backbones, it allows both zero-shot inference for known robot setups and parameter-efficient fine-tuning for new domains. The model supports real-world robotics tasks, with robust generalization to environments seen in pretraining. Its actions include delta values for position, orientation, and gripper status, and can be un-normalized based on robot-specific statistics. ... -
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granite-timeseries-ttm-r2
Tiny pre-trained IBM model for multivariate time series forecasting
...Unlike massive foundation models, TTM models are designed to be lightweight yet powerful, with only ~805K parameters, enabling high performance even on CPU or single-GPU machines. The r2 version is pre-trained on ~700M samples (r2.1 expands to ~1B), delivering up to 15% better accuracy than the r1 version. TTM supports both zero-shot and fine-tuned forecasting, handling minutely, hourly, daily, and weekly resolutions. It can integrate exogenous variables, static categorical features, and perform channel-mixing for richer multivariate forecasting. The get_model() utility makes it easy to auto-select the best TTM model for specific context and prediction lengths. ... -
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unidepth-v2-vitl14
Metric monocular depth estimation (vision model)
Estimates absolute (metric) depth from single RGB images, along with camera intrinsics and uncertainty. Designed to generalize across domains (zero-shot) using a self‑prompting camera module and pseudo-spherical prediction space. -
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fashion-clip
CLIP model fine-tuned for zero-shot fashion product classification
FashionCLIP is a domain-adapted CLIP model fine-tuned specifically for the fashion industry, enabling zero-shot classification and retrieval of fashion products. Developed by Patrick John Chia and collaborators, it builds on the CLIP ViT-B/32 architecture and was trained on over 800K image-text pairs from the Farfetch dataset. The model learns to align product images and descriptive text using contrastive learning, enabling it to perform well across various fashion-related tasks without additional supervision. ... -
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eagle-i is an ontology-driven, RDF-based distributed platform for creating, storing and searching semantically rich data. eagle-i is built around semantic web technologies and adheres to linked open data principles.
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VaultGemma
VaultGemma: 1B DP-trained Gemma variant for private NLP tasks
...Training ran on TPU v6e using JAX and Pathways with privacy-preserving algorithms (DP-SGD, truncated Poisson subsampling) and DP scaling laws to balance compute and privacy budgets. Benchmarks on the 1B pre-trained checkpoint show expected utility trade-offs (e.g., HellaSwag 10-shot 39.09, BoolQ 0-shot 62.04, PIQA 0-shot 68.00), reflecting its privacy-first design. -
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The aim of this project is to develop a software to assist speech recognition systems users by displaying outputs of their systems.
