11 projects for "novel" with 2 filters applied:

  • Gen AI apps are built with MongoDB Atlas Icon
    Gen AI apps are built with MongoDB Atlas

    Build gen AI apps with an all-in-one modern database: MongoDB Atlas

    MongoDB Atlas provides built-in vector search and a flexible document model so developers can build, scale, and run gen AI apps without stitching together multiple databases. From LLM integration to semantic search, Atlas simplifies your AI architecture—and it’s free to get started.
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  • Our Free Plans just got better! | Auth0 Icon
    Our Free Plans just got better! | Auth0

    With up to 25k MAUs and unlimited Okta connections, our Free Plan lets you focus on what you do best—building great apps.

    You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
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  • 1
    The Hypersim Dataset

    The Hypersim Dataset

    Photorealistic Synthetic Dataset for Holistic Indoor Scene

    ... allow researchers to reproduce sequences, generate novel views, or extract task-specific supervision. Because the data are perfectly labeled and controllable, Hypersim is well suited for pretraining and for studying domain transfer to real imagery. The repository acts as both a dataset index and a set of scripts for downloading, managing, and evaluating on standardized splits.
    Downloads: 3 This Week
    Last Update:
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  • 2
    Detic

    Detic

    Code release for "Detecting Twenty-thousand Classes

    ... without exhaustive box annotations. The system supports zero- or few-shot extension to novel categories via semantic embeddings and class name supervision, making “open-world” detection practical. Built on Detectron2, the repo includes configs, pretrained weights, and conversion tools to mix fully and weakly supervised sources. Detic is especially useful for applications where label space is vast and long-tailed, but dense bounding-box annotation is infeasible.
    Downloads: 2 This Week
    Last Update:
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  • 3
    GPT-NeoX

    GPT-NeoX

    Implementation of model parallel autoregressive transformers on GPUs

    This repository records EleutherAI's library for training large-scale language models on GPUs. Our current framework is based on NVIDIA's Megatron Language Model and has been augmented with techniques from DeepSpeed as well as some novel optimizations. We aim to make this repo a centralized and accessible place to gather techniques for training large-scale autoregressive language models, and accelerate research into large-scale training. For those looking for a TPU-centric codebase, we...
    Downloads: 4 This Week
    Last Update:
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  • 4
    ReinventCommunity

    ReinventCommunity

    Jupyter Notebook tutorials for REINVENT 3.2

    This repository is a collection of useful jupyter notebooks, code snippets and example JSON files illustrating the use of Reinvent 3.2.
    Downloads: 0 This Week
    Last Update:
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  • Build Securely on AWS with Proven Frameworks Icon
    Build Securely on AWS with Proven Frameworks

    Lay a foundation for success with Tested Reference Architectures developed by Fortinet’s experts. Learn more in this white paper.

    Moving 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.
    Download Now
  • 5
    The BioNLP UIMA Component Repository provides UIMA wrappers for novel and well-known 3rd-party NLP tools used in biomedical text prosessing, such as tokenizers, parsers, named entity taggers, and tools for evaluation.
    Downloads: 0 This Week
    Last Update:
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  • 6
    A novel database and a webtop based on a new theory of objects.
    Downloads: 6 This Week
    Last Update:
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  • 7
    Vademecum is a Data Mining suite with a novel help function, semi-automated protocol, consequently modular construction that is also equipped with the most elaborated Data Mining methods.
    Downloads: 0 This Week
    Last Update:
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  • 8
    The evocomp software models complex systems via novel mathematical and computational models informed by biological metaphors, with the aim of designing and controlling complex systems.
    Downloads: 0 This Week
    Last Update:
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  • 9
    MetaCLIP

    MetaCLIP

    ICLR2024 Spotlight: curation/training code, metadata, distribution

    MetaCLIP is a research codebase that extends the CLIP framework into a meta-learning / continual learning regime, aiming to adapt CLIP-style models to new tasks or domains efficiently. The goal is to preserve CLIP’s strong zero-shot transfer capability while enabling fast adaptation to domain shifts or novel class sets with minimal data and without catastrophic forgetting. The repository provides training logic, adaptation strategies (e.g. prompt tuning, adapter modules), and evaluation across...
    Downloads: 0 This Week
    Last Update:
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  • Photo and Video Editing APIs and SDKs Icon
    Photo and Video Editing APIs and SDKs

    Trusted by 150 million+ creators and businesses globally

    Unlock Picsart's full editing suite by embedding our Editor SDK directly into your platform. Offer your users the power of a full design suite without leaving your site.
    Learn More
  • 10
    Qwen-Image-Edit

    Qwen-Image-Edit

    An advanced bilingual image editing with semantic control

    Qwen-Image-Edit is the image editing extension of Qwen-Image, a 20B parameter model that combines advanced visual and text-rendering capabilities for creative and precise editing. It leverages both Qwen2.5-VL for semantic control and a VAE Encoder for appearance control, enabling users to edit at both the content and detail level. The model excels at semantic edits like style transfer, object rotation, and novel view synthesis, while also handling precise appearance edits such as adding...
    Downloads: 0 This Week
    Last Update:
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  • 11
    Kimi K2

    Kimi K2

    1T MoE model with 32B active params, optimized for agentic reasoning

    Kimi K2 Instruct is a high-performance Mixture-of-Experts (MoE) language model developed by Moonshot AI, activating 32B parameters per forward pass from a total 1 trillion. Designed for agentic reasoning, tool use, and advanced coding tasks, it achieves SOTA-level performance on multiple benchmarks such as SWE-Bench, AIME, and MMLU. Trained on 15.5T tokens using the Muon optimizer, it incorporates novel techniques for scaling stability. Kimi K2 supports a 128K context window, enabling detailed...
    Downloads: 0 This Week
    Last Update:
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