Search Results for "insight" - Page 3
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Showing 147 open source projects for "insight"
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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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TTRL
Test-Time Reinforcement Learning
TTRL is an open-source framework for test-time reinforcement learning in large language models, with a particular focus on reasoning tasks where ground-truth labels are not available during inference. The project addresses the problem of how to generate useful reward signals from unlabeled test-time data, and its central insight is that common test-time scaling practices such as majority voting can be repurposed into reward estimates for online reinforcement learning. This makes the framework especially interesting for scenarios where models must keep adapting during evaluation or deployment instead of relying only on fixed pretraining and static fine-tuning. ... -
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DATAGEN
AI-driven multi-agent research assistant automating hypothesis
DATAGEN is an AI-driven multi-agent research and data analysis platform designed to automate complex analytical workflows. The system coordinates multiple specialized AI agents that collaborate to perform tasks such as hypothesis generation, data collection, analysis, visualization, and report creation. Instead of requiring users to manually orchestrate each stage of a research process, the platform allows these agents to coordinate automatically and handle the workflow end-to-end. The... -
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Flower
Real-time monitor and web admin for Celery distributed task queue
...The tool communicates with Celery using event streams, allowing near real-time updates on asynchronous workloads. Because Celery is widely used in Python microservices and background job systems, Flower has become a standard companion utility for teams that need operational insight and control over distributed task processing. -
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whoami.filippo.io
A ssh server that knows who you are. $ ssh whoami.filippo.io
whoami.filippo.io powers a diagnostic service that reports what your client and connection look like from the other side, making it a handy mirror for network and TLS debugging. It surfaces details such as your IP address, protocol versions, cipher suites, SNI, and other attributes that are otherwise tedious to confirm across layers. The tool emphasizes clarity and minimalism, helping engineers quickly verify configuration changes in browsers, proxies, VPNs, or CLI tools. It is especially... -
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zvt
Modular quant framework
For practical trading, a complex algorithm is fragile, a complex algorithm building on a complex facility is more fragile, complex algorithm building on a complex facility by a complex team is more and more fragile. zvt wants to provide a simple facility for building a straightforward algorithm. Technologies come and technologies go, but market insight is forever. Your world is built by core concepts inside you, so it’s you. zvt world is built by core concepts inside the market, so it’s zvt. The core concept of the system is visual, and the name of the interface corresponds to it one-to-one, so it is also uniform and extensible. You can write and run the strategy in your favorite ide, and then view its related targets, factor, signal and performance on the UI. ... -
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Claude Code Usage Monitor
Real-time Claude Code usage monitor with predictions and warnings
...Its architecture emphasizes modularity and extensibility, supporting multiple Claude plan configurations and customizable monitoring behavior. Overall, the tool fills an important observability gap for heavy Claude Code users who need precise, local insight into AI usage economics and session management. -
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Apache Druid
A high performance real-time analytics database
Druid is designed for workflows where fast ad-hoc analytics, instant data visibility, or supporting high concurrency is important. As such, Druid is often used to power UIs where an interactive, consistent user experience is desired. Druid streams data from message buses such as Kafka, and Amazon Kinesis, and batch load files from data lakes such as HDFS, and Amazon S3. Druid supports most popular file formats for structured and semi-structured data. Druid has been benchmarked to greatly... -
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System Prompts and Models of AI Tools
Full System Prompts, Internal Tools & AI Models
System Prompts and Models of AI Tools is a large open-source repository that collects and documents system prompts, internal tools, and model configurations used by popular AI platforms. It aggregates prompts from tools like Claude, Cursor, Devin AI, Perplexity, and many others to provide insight into how modern AI agents are structured and guided. The repository serves as a valuable resource for developers, researchers, and AI enthusiasts interested in understanding prompt engineering and agent behavior. By exposing these system-level instructions, it highlights how AI tools are designed to reason, act, and interact with users. ... -
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VarDumper Component
Provides mechanisms for walking through any arbitrary PHP variable
...The VarDumper component creates a global dump() function that you can use instead of e.g. var_dump. By using it, you’ll gain per object and resource types specialized view to e.g. filter out Doctrine internals while dumping a single proxy entity, or get more insight on opened files with stream_get_meta_data. Configurable output formats, HTML or colored command line output. Ability to dump internal references, either soft ones (objects or resources) or hard ones (=& on arrays or objects properties). Repeated occurrences of the same object/array/resource won’t appear again and again anymore. ... -
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Micrometer
App observability facade for the most popular observability tools
...Micrometer provides vendor-neutral interfaces for timers, gauges, counters, distribution summaries, and long task timers with a dimensional data model that, when paired with a dimensional monitoring system, allows for efficient access to a particular named metric with the ability to drill down across its dimensions. Out-of-the-box instrumentation of caches, the class loader, garbage collection, processor utilization, thread pools, and more tailored to actionable insight. Micrometer is the instrumentation library powering the delivery of application observability from Spring Boot applications. -
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Diskraptor
Diskraptor: Fast cross‑platform disk analyzer for clear storage view
Diskraptor is a fast, cross‑platform disk analyzer built for users who need clear insight into their storage usage. Powered by a high‑performance Rust engine, it scans millions of files in seconds and presents results in an intuitive, responsive interface. Diskraptor helps you quickly identify large folders, heavy files, duplicates, and hidden space hogs across Windows, macOS, and Linux. The app includes interactive charts, a virtual tree view for smooth navigation, multi‑language support, dark mode, and full privacy with no telemetry or cloud processing. ... -
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SMILI
Scientific Visualisation Made Easy
...The applications are all built out of a uniform user-interface framework that provides a very high level (Qt) interface to powerful image processing and scientific visualisation algorithms from the Insight Toolkit (ITK) and Visualisation Toolkit (VTK). The framework allows one to build stand-alone medical imaging applications quickly and easily. -
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Transformer Explainer
Learn How LLM Transformer Models Work with Interactive Visualization
...Through visual diagrams and interactive interfaces, the tool reveals how tokens are processed through layers such as embeddings, attention mechanisms, and feed-forward networks. Users can observe how attention weights change as the model predicts the next token, offering insight into how transformer architectures capture relationships between words. The design of the platform emphasizes educational accessibility, allowing students, researchers, and developers to explore complex machine learning concepts without requiring specialized hardware or installations. -
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Computer Vision in Action
A computer vision closed-loop learning platform
...The repository includes structured code examples, scripts, and notebooks that cover pipeline construction, preprocessing, model inference, and visual output rendering, making it easy for newcomers or intermediate practitioners to adapt patterns to their own projects. It also explores how to combine classical computer vision techniques with modern neural network-based models, offering insight into when each approach is most effective. -
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applied-ml
Papers & tech blogs by companies sharing their work on data science
...Instead of focusing solely on theoretical ML research, this repo highlights industry-scale challenges: data collection, quality, infrastructure, feature stores, model serving, monitoring, scalability, and how ML is embedded in product workflows. It acts as a living library for practitioners who want to learn from real-world successes and failures — giving insight into how large organizations structure their data pipelines, how they manage ML lifecycle at scale, and what architectural or operational tradeoffs they made. For someone designing—or planning to build—a production ML system, this repo provides patterns, precedents, and lessons learned from firms that operate at big scale. -
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Clockwork
PHP dev tools in your browser - server-side component
Clockwork is a development tool for PHP available right in your browser. Clockwork gives you an insight into your application runtime - including request data, performance metrics, log entries, database queries, cache queries, redis commands, dispatched events, queued jobs, rendered views, and more - for HTTP requests, commands, queue jobs, and tests. -
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architecture.of.internet-product
Internet company technical architecture
...The repository organizes materials into categories that include system architecture diagrams, engineering papers, technical presentations, and case studies from major technology conferences. By studying these examples, developers can gain insight into distributed systems design, scalability strategies, and the infrastructure patterns used by high-traffic platforms. -
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Recurrent Interface Network (RIN)
Implementation of Recurrent Interface Network (RIN)
...Will need to verify this on my own machine. Additionally, we will try adding an extra linear attention on the main branch as well as self-conditioning in the pixel space. The insight of being able to self-condition on any hidden state of the network as well as the newly proposed sigmoid noise schedule are the two main findings. -
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Crane
Crane is a FinOps Platform for Cloud Resource Analytics and Economics
Crane is a FinOps Platform for Cloud Resource Analytics and Economics in Kubernetes clusters. The goal is not only to help users to manage cloud cost easily but also to ensure the quality of applications. -
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Ganache Ethereum
A tool for creating a local blockchain for fast Ethereum development
...See the log output of Ganache’s internal blockchain, including responses and other vital debugging information. Configure advanced mining with a single click, setting block times to best suit your development needs. Examine all blocks and transactions to gain insight into what’s happening under the hood. Byzantium comes standard, giving you the latest Ethereum features needed for modern dapp development. -
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Ganache
Personal blockchain for Ethereum development
...See the log output of Ganache’s internal blockchain, including responses and other vital debugging information. Configure advanced mining with a single click, setting block times to best suit your development needs. Examine all blocks and transactions to gain insight about what’s happening under the hood. Byzantium comes standard, giving you the latest Ethereum features needed for modern app development. Each platform has an associated npm run configuration to help you build on each platform more easily. Because each platform has different (but similar) build processes, they require different configurations. -
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CrackMapExec
A swiss army knife for pentesting networks
...It supports credential spraying, command execution, file transfers, and module-based extensions across SMB, RDP, LDAP, and other protocols. CME provides automation and insight into Windows networks and is commonly used during lateral movement and domain enumeration phases. -
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Tagbar
Vim plugin that displays tags in a window
...It opens a sidebar window that shows the tags of the current file, organised by scope—so functions, methods, classes and other symbols are grouped logically (for example, methods under their containing class). This gives you at-a-glance insight into the layout of large source files, which is especially useful for navigating unfamiliar codebases or when working on complex modules. The Tagbar sidebar also allows direct navigation: you can click on or jump to specific tags from the list, which makes it much faster to move between definitions than manually searching. Because it uses an external tags generation tool, the plugin can support many languages (C++, Java, Python, etc) with varying degrees of induction based on the tags file. ... -
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space-shooter.c
A cross-platform, top-down 2D space shooter written in C
...It supports rendering through OpenGL and handles audio and input using platform-specific solutions, providing a comprehensive example of system-level game architecture. The codebase is structured into clear layers, including platform, game logic, and rendering, offering educational insight into how these components interact in a real-time application. It is designed to compile and run across multiple environments, including desktop and web browsers via WebAssembly. -
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Guided Diffusion
Codebase for Diffusion Models Beat GANS on Image Synthesis
...It is derived from OpenAI’s improved-diffusion work, enhanced to include guided generation where a classifier (or other guidance mechanism) can steer sampling toward desired classes or attributes. The code provides model definitions (UNet, diffusion schedules), sampling and training scripts, and utilities for guidance and evaluation. A key insight is that combining diffusion sampling with classifier gradients allows fine control over the generated images, trading off diversity vs fidelity. The repository includes scripts such as image_train.py, image_sample.py, and classifier_train.py to train diffusion models, generate samples, and train guiding classifiers. It also ships with precomputed evaluation batches and baseline comparisons to support reproducible benchmarking of new models.
