Search Results for "work" - Page 2
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2637 projects for "work" with 1 filter applied:
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Go From AI Idea to AI App FastAccess Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
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Enterprise-grade ITSM, for every businessFreshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
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MLJ
A Julia machine learning framework
MLJ (Machine Learning in Julia) is a toolbox written in Julia providing a common interface and meta-algorithms for selecting, tuning, evaluating, composing and comparing about 200 machine learning models written in Julia and other languages. The functionality of MLJ is distributed over several repositories illustrated in the dependency chart below. These repositories live at the JuliaAI umbrella organization. -
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RoaringBitmap
A better compressed bitset in Java
Bitsets, also called bitmaps, are commonly used as fast data structures. Unfortunately, they can use too much memory. To compensate, we often use compressed bitmaps. Roaring bitmaps are compressed bitmaps which tend to outperform conventional compressed bitmaps such as WAH, EWAH or Concise. In some instances, roaring bitmaps can be hundreds of times faster and they often offer significantly better compression. They can even be faster than uncompressed bitmaps. -
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Phoenix Code Editor
Phoenix is a modern open-source Code Editor for the web
Phoenix is a modern open-source and free software code editor for the web, built for the browser. -
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Karpathy-Inspired Claude Code Guidelines
A single CLAUDE.md file to improve Claude Code behavior
Karpathy-Inspired Claude Code Guidelines is a curated learning and experimentation repository inspired by the work and teaching philosophy of Andrej Karpathy, designed to help learners build practical competence in deep learning, neural networks, and AI infrastructure. The project organizes a progressive path through exercises, notebooks, code examples, and practical mini-projects that echo Karpathy’s approach to “learning by doing,” where students build core concepts from first principles rather than consuming superficial abstractions. ... -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Simple Binary Encoding (SBE)
Simple Binary Encoding (SBE) - High Performance Message Codec
...Please address questions about the specification to the SBE FIX community. For the latest version information and changes see the Change Log with downloads at Maven Central. The Java and C++ SBE implementations work very efficiently with the Aeron messaging system for low-latency and high-throughput communications. The Java SBE implementation has a dependency on Agrona for its buffer implementations. -
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Otter-Grader
A Python and R autograding solution
Otter Grader is a light-weight, modular open-source autograder developed by the Data Science Education Program at UC Berkeley. It is designed to work with classes at any scale by abstracting away the autograding internals in a way that is compatible with any instructor's assignment distribution and collection pipeline. Otter supports local grading through parallel Docker containers, grading using the autograder platforms of 3rd party learning management systems (LMSs), the deployment of an Otter-managed grading virtual machine, and a client package that allows students to run public checks on their own machines. ... -
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PSI Probe
Advanced manager and monitor for Apache Tomcat
Advanced manager and monitor for Apache Tomcat, forked from Lambda Probe. Generally supported versions for third-party tomcat providers align with their support but earlier versions may still work. It is advisable in every case to use only supported tomcat releases per specific vendor. Our support will only be against non-CVE releases. -
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CVPR 2026
Collection of CVPR 2026 Papers and Open Source Projects
...The repository acts as a continuously updated catalog of cutting-edge research across a wide range of topics including computer vision, multimodal AI, generative models, diffusion systems, autonomous driving, medical imaging, and remote sensing. Each entry typically links to the research paper as well as the public code repository associated with the work, allowing researchers and developers to quickly access reproducible implementations. The project serves as a centralized index that makes it easier for practitioners to explore the latest advances presented at major computer vision conferences. In addition to the current CVPR cycle, the repository also references related lists covering earlier conferences such as ECCV and ICCV, creating a broader archive of vision research. -
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Django
The Web framework for perfectionists with deadlines
Django is a high-level, free and open-source Python web framework founded on the Model–Template–View (MTV) pattern, designed to facilitate rapid development of secure, maintainable, and scalable database-driven websites. First, read docs/intro/install.txt for instructions on installing Django. Next, work through the tutorials in order (docs/intro/tutorial01.txt, docs/intro/tutorial02.txt, etc.). If you want to set up an actual deployment server, read docs/howto/deployment/index.txt for instructions. You'll probably want to read through the topical guides (in docs/topics) next; from there you can jump to the HOWTOs (in docs/howto) for specific problems, and check out the reference (docs/ref) for gory details. -
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Manifolds.jl
Manifolds.jl provides a library of manifolds
Package Manifolds.jl aims to provide both a unified interface to define and use manifolds as well as a library of manifolds to use for your projects. This package is mostly stable, see #438 for planned upcoming changes. The implemented manifolds are accompanied by their mathematical formulae. The manifolds are implemented using the interface for manifolds given in ManifoldsBase.jl. You can use that interface to implement your own software on manifolds, such that all manifolds based on that... -
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genact
A nonsense activity generator
Pretend to be busy or waiting for your computer when you should actually be doing real work! Impress people with your insane multitasking skills. Just open a few instances of genact and watch the show. genact has multiple scenes that pretend to be doing something exciting or useful when in reality nothing is happening at all. You don't have to install anything! For your convenience, prebuilt binaries for Linux, OSX and Windows are provided here that should run without any dependencies. ... -
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InkOS
Autonomous novel writing CLI AI Agent
...This design makes it particularly suited for complex storytelling tasks that require consistency, tone management, and structural planning across long outputs. The platform likely incorporates feedback loops where agents critique and revise each other’s work, simulating editorial processes found in traditional publishing. It emphasizes scalability, enabling users to generate large volumes of narrative content with minimal manual intervention. -
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baoyu-skills
Skills shared by Baoyu for improving daily work efficiency with Claude
baoyu-skills is a comprehensive plugin-based toolkit designed to enhance productivity within AI-assisted development environments, particularly Claude Code, by providing a wide range of modular “skills” for content generation, automation, and data processing. The project organizes its functionality into categories such as content creation, AI generation, and utility tools, enabling users to extend their workflows through reusable components. Each skill is implemented as a structured module... -
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Qwen3.5
Qwen3.5 is the large language model series developed by Qwen team
...Qwen3.5 builds on earlier Qwen generations by improving multilingual understanding, reasoning ability, and efficiency, while also introducing native multimodal capabilities that allow the model to work with both language and visual inputs. Architecturally, the system leverages modern large-scale training techniques and mixture-of-experts style efficiency so that very large parameter counts can be used while keeping inference practical. -
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LTX-Video
Official repository for LTX-Video
...The toolkit is built with both real-time and offline workflows in mind, enabling applications from consumer editing to professional content creation and batch processing. Internally optimized for multi-core processors and hardware acceleration where available, LTX-Video makes it feasible to work with high-resolution content and complex timelines without sacrificing responsiveness. -
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Perfetto
Production-grade client-side tracing, profiling, and analysis
...It’s designed around a low-overhead producer/consumer model: instrumented components (“producers”) write binary events into shared memory buffers and a collector (“service”) reliably streams them to storage. The data model spans kernel and userspace, so you can stitch together CPU scheduling, app lifecycles, binder/IPC hops, GPU work, power and thermal signals, file I/O, heap samples, and more into a single coherent timeline. Perfetto’s ecosystem includes a web-based UI that can load multi-GB traces directly in the browser and an offline “trace processor” that exposes the trace as a queryable SQL-like table schema for deep analysis and automation. It integrates natively with Android (replacing older atrace/Systrace paths) and can sit alongside custom instrumentation in apps or services through its SDKs. -
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The Algorithms Python
All Algorithms implemented in Python
The Algorithms-Python project is a comprehensive collection of Python implementations for a wide range of algorithms and data structures. It serves primarily as an educational resource for learners and developers who want to understand how algorithms work under the hood. Each implementation is designed with clarity in mind, favoring readability and comprehension over performance optimization. The project covers various domains including mathematics, cryptography, machine learning, sorting, graph theory, and more. With contributions from a large global community, it continually grows and improves through collaboration and peer review. ... -
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Three.js Skills for Claude Code
Collection of Three.js skill files
Three.js Skills for Claude Code repository is a curated collection of modular skills and educational code aimed at helping developers learn and apply Three.js, the popular JavaScript library for 3D graphics on the web. It groups foundational lessons, examples, and utilities that make it easier to set up 3D scenes, work with cameras, lighting, materials, shaders, and animation loops, and handle user interactions in a browser context. The project functions as a toolbox of practical snippets and guided examples that bridge the gap between reading documentation and building interactive 3D elements such as animated objects, interactive visualizations, and immersive web experiences. ... -
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AudioLM - Pytorch
Implementation of AudioLM audio generation model in Pytorch
Implementation of AudioLM, a Language Modeling Approach to Audio Generation out of Google Research, in Pytorch It also extends the work for conditioning with classifier free guidance with T5. This allows for one to do text-to-audio or TTS, not offered in the paper. Yes, this means VALL-E can be trained from this repository. It is essentially the same. This repository now also contains a MIT licensed version of SoundStream. It is also compatible with EnCodec, however, be aware that it has a more restrictive non-commercial license, if you choose to use it. -
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Open-LLM-VTuber
Open source AI VTuber platform with voice chat and Live2D avatars
...It can run locally and supports both offline and online AI services, giving users flexibility in how models and resources are used. Open-LLM-VTuber was originally inspired by the goal of recreating an AI VTuber experience using open source tools that work across multiple operating systems. -
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Magic Portfolio
Build your timeless portfolio with Once UI's Magic Portfolio
...The template emphasizes SEO with auto-generated Open Graph/X images, schemas, and metadata derived from the content configuration, making it more discoverable out of the box. It offers flexible feature toggles to enable or disable sections such as blog, work, gallery, and about, as well as options for automatic social link generation and password-protected URLs. -
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SemTools
Semantic search and document parsing tools for the command line
...SemTools can parse documents, build semantic embeddings, and perform similarity searches across datasets, making it useful for research, knowledge management, and AI-assisted coding workflows. The toolkit is designed to work well with modern AI pipelines, particularly those involving large language models that require structured knowledge retrieval. -
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Trellis AI
All-in-one AI framework & toolkit for Claude Code & Cursor
...Trellis also includes tooling for monitoring, scheduling, and tracing the execution of complex multi-step jobs, helping teams maintain visibility into how work progresses and where bottlenecks emerge. The platform can integrate with external services, databases, and model endpoints, making it suitable for automation, ETL pipelines, AI-driven processes, and business logic orchestration. -
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Deep Learning Essay Reading
Read classic and new deep learning papers paragraph by paragraph
Deep Learning Essay Reading repository is a comprehensive collection of machine learning and deep learning research summaries designed to make cutting-edge academic work more accessible. Instead of reading entire dense academic papers, contributors provide structured breakdowns and insights into the most influential research from the past decade, often including explanation highlights and key takeaways. The content spans foundational models, architectures, and training methodologies across computer vision, natural language processing, generative models, and other machine learning domains. ... -
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Anthropic's Original Performance
Anthropic's original performance take-home, now open for you to try
Anthropic's Original Performance repository contains the publicly released version of a performance challenge originally used by Anthropic as part of their technical interview process, offering developers the opportunity to optimize and benchmark low-level code against simulated models. The project sets up a baseline performance problem where participants work to reduce simulated “clock cycles” required to run a given workload, effectively challenging them to engineer faster code under constraints. This take-home includes starter code, tests, and tools to debug performance, aiming to measure how effectively one can apply algorithmic improvements and optimizations. Because it’s framed around beating baseline scores — and even outperforming previous automated systems — it encourages both deep knowledge of Python and creative problem-solving.
