Search Results for "frameworks" - Page 46
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Showing 1157 open source projects for "frameworks"
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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Maiden-core is a Linux kernel robotics API module, extensible in Erc. The Maiden Project also documents and develops the Maiden architecture for mobile robots, a set of (optional) designs and standards for robots using the Maiden-core API.
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RL-POMDP is a Reinforcement Learning (RL) based algorithm to find approximate and satisfactory solution to POMDP problems. RL-POMDP is orders of magnitude faster than exact POMDP solver.
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Experiments, etc. tools, frameworks for version control, business rules, persistence, code generation, etc. not an active project these days.
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Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
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ransomware-detection-with-deep-learning
Srihari Humbarwadi
Srihari Humbarwadi -
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A chatbot framework currently implementing the ErkiTalk and irc protocol. By specifying parsers for the server's input one can easily create custom bots (if one can program in java of course ;).
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DLCISNN
Cerebellum-inspired spiking neural network(DLCISNN), a hybrid of Spiking Neural Network and Deep learning networks with the architecture and firing behaviour inspired from cerebellar microcircuitry.
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A Python translation of Piqle with Traits for simplified simulation with reinforcement learning agents.
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OpenKS is a knowledge system framework written in java. It is an open and highly plugable framework aimed at teaching students the fundamentals of knowledge systems.
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Build Securely on AWS with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
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JOptical is a free library for generic computer vision applications. It will include most well known algorithms around this subject and expand on that.
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OmniDJ
OmniDJ base project repository
OmniDJ main public repository This repository contains the following main items: The SotA face recognition engine including facial feature analysis based on : FaceNet - the actual SotA analysis from Deep Face Recognition: A Survey The neural style augmentation of video streams based on Neural Style Transfer: A Review The image augmentation appraoch based on Deep Dream The provided source code is published open-source under Creative Commons. OmniDJ project is financed based on... -
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A .Net Library that lets you make full use of multi-core and multiprocessor computers. It is very efficient, and easily integrated into existing applications. It is modeled after the Parallel FX usage model, and is faster than the PFX too.
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Provides a voice interface for applications via a plug in system. Allows the inclusion of voice recognition in an application with a minimum of effort.
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Smart eye is a C++ API for computer vision that aim to provide real-time ET technology communicating with computer HCI systems.
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text_summurization_abstractive_methods
Multiple implementations for abstractive text summurization
This repo is built to collect multiple implementations for abstractive approaches to address text summarization it is built to simply run on google colab , in one notebook so you would only need an internet connection to run these examples without the need to have a powerful machine , so all the code examples would be in a jupyter format , and you don't have to download data to your device as we connect these jupyter notebooks to google drive -
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LiNNS is not just a Neural Network Simulator, but a Neural Network System - a framework which covers the full lifecycle of a neural network, from design and research till usage in an external application.
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Procedural content generation of deterministic and complex entities, with properties and other entities inside, defined by an editable XML file, along with a framework to simulate actions, compositions, and interactions of entities.
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ArtificialIntelligenceHomeSecurity
Deeplearning based model for home security.. attach a webcam run this
Home Security software designed based on Deep Learning architecture using widely used opensource tensorflow platform. It has been tested on ubuntu 15.04/16.04 OS on AMD64 and ARM architecture. The software is distributed under APACHE licence (see licence). The standalone binary executable requires minimal external dependencies as the libraries such as tensorflow, openCV, pygame and others are linked within the software. The software works by capturing the image using inbuilt/USB powered... -
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Top Engine the Semantic Web Engine for the Enterprise. Top Engine is a Business Rule Engine that utilize OWL DL ontologies for vocabulary primitive to write rules on top of ontology. Top Engine support forward and backward chaining with truth maintenance
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JavaGO is an Open Source Java library for the Game of GO (weiqi, baduk) analysis. Implements: base game classes, montecarlo simulations, SGF reader/writer, game variants, GTP, etc. Elegant interfaces/class design. Speed efficient w/small footprint. TDD.
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Monk Computer Vision
A low code unified framework for computer vision and deep learning
Monk is an open source low code programming environment to reduce the cognitive load faced by entry level programmers while catering to the needs of Expert Deep Learning engineers. There are three libraries in this opensource set. - Monk Classiciation- https://monkai.org. A Unified wrapper over major deep learning frameworks. Our core focus area is at the intersection of Computer Vision and Deep Learning algorithms. - Monk Object Detection - https://github.com/Tessellate-Imaging/Monk_Object_Detection. Monk object detection is our take on assembling state of the art object detection, image segmentation, pose estimation algorithms at one place, making them low code and easily configurable on any machine... -
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Devstral 2
Agentic 123B coding model optimized for large-scale engineering
...Devstral 2 supports a 256k context window, enabling deep understanding of large repositories, long diffs, and extended technical discussions. It integrates seamlessly with agent frameworks and developer tools, including the Mistral Vibe CLI, enabling terminal-based automation and interactive development workflows. -
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Krea 2 Turbo
Fast 12B image model for high-quality text-to-image generation
...Unlike the Raw checkpoint, which is intended for fine-tuning and LoRA training, Turbo is optimized for direct inference, delivering native resolutions up to 2K with excellent prompt adherence and broad aesthetic diversity. The model integrates with Diffusers, SGLang, ComfyUI, and other modern inference frameworks, and supports LoRAs trained on the Raw model. -
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Hy3 preview
Efficient MoE model for reasoning, coding, and AI agent workflows
...Hy3-preview is optimized for efficient deployment while maintaining strong benchmark performance across reasoning, coding, and agent evaluations. It supports function calling, integration with popular agent frameworks such as OpenClaw and OpenCode, and deployment through Transformers. -
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Qwen3.6-35B-A3B
Open multimodal model for coding, agents, and long-context tasks
Qwen3.6-35B-A3B is an open-weight multimodal model built for real-world coding, agent workflows, and long-context reasoning. It combines a causal language model with a vision encoder, supports text, image, and video inputs, and is optimized for frameworks such as Transformers, vLLM, SGLang, and KTransformers. The model emphasizes stability, responsiveness, and practical developer productivity, with major improvements in agentic coding, frontend generation, and repository-level reasoning. A notable addition is thinking preservation, which allows the model to retain reasoning context from earlier messages, improving iterative work and reducing redundant computation. ...
