Popular GitHub Repositories for Kind

[CVPR 2024 ?] Grounding Large Multimodal Model (GLaMM), the first-of-its-kind model capable of generating natural language responses that are seamlessly integrated with object segmentation masks.

Magick is a cutting-edge toolkit for a new kind of AI builder. Make Magick with us!

AIxplora is a open-source tool which let's you query all kind of files not limited to any length or format.

The library contains a number of interconnected Java packages that implement machine learning and artificial intelligence algorithms. These are artificial intelligence algorithms implemented for the kind of people that like to implement algorithms themselves.

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让 AI 设计 AI，让大模型帮助小模型进化，用魔法创造魔法！ Empower Artificial Intelligence to sculpt its own kind, where colossal models gracefully usher the petite ones into evolution, weaving magic to conjure further enchantment!

[Paperlist] Awesome paper list of controllable text generation via latent auto-encoders. Contributions of any kind are welcome.

First-of-its-kind AI benchmark for evaluating the protection capabilities of large language model (LLM) guard systems (guardrails and safeguards)

Let's turn ChatGPT in to VoiceGPT (Vue JS, Vite, Open AI, AWS Polly) ChatGPT Clone (kind of lol)

TSDE is a novel SSL framework for TSRL, the first of its kind, effectively harnessing a diffusion process, conditioned on an innovative dual-orthogonal Transformer encoder architecture with a crossover mechanism, and employing a unique IIF mask strategy (KDD 2024, main research track).

In this work I investigate the speech command task developing and analyzing deep learning models. The state of the art technology uses convolutional neural networks (CNN) because of their intrinsic nature of learning correlated represen- tations as is the speech. In particular I develop different CNNs trained on the Google Speech Command Dataset and tested on different scenarios. A main problem on speech recognition consists in the differences on pronunciations of words among different people: one way of building an invariant model to variability is to augment the dataset perturbing the input. In this work I study two kind of augmentations: the Vocal Tract Length Perturbation (VTLP) and the Synchronous Overlap and Add (SOLA) that locally perturb the input in frequency and time respectively. The models trained on augmented data outperforms

Statistics, signal processing, finance, econometrics, manufacturing, networking[disambiguation needed] and data mining, anomaly detection (also outlier detection) is the identification of rare items, events or observations which raise suspicions by differing significantly from the majority of the data. Typically the anomalous items will translate to some kind of problem such as bank fraud, a structural defect, medical problems or errors in a text. Anomalies are also referred to as outliers, novelties, noise, deviations and exceptions.

Improve user′s average time on page of your Gridsome site by automatically finding related posts or products. Uses machine learning to determine recommendations of all kind, be it other posts, context-related ads, related products in your shop, affiliate products and more.

Deployi is your all-in-one platform to deploy, manage, and scale any kind of application effortlessly. Whether you're deploying a simple web app or a complex microservices architecture, Deployi handles it all with speed, security, and flexibility

DANTE (Dimensional ANnotation Tool for Emotions) is an emotional annotation tool to annotate any kind of video in terms of valence and arousal continuous dimensions.

The GenCode library is a first-of-its-kind powerful ORM for LLM like GPT4 for helping LLM understand your application model. Perform NLP based model manipulaton and decision making fast for your .NET apps. With fast integration, package harness power of language tasks, including text generation, sentiment analysis, & more. See docs & examples.

Implementation of online multiplayer game - splix.io, enriched by two kind of bots using AI. Bots using heuristic algorithm and bots using NEAT algorithm.

A Computer Vision Based Navigation System which uses Differentiable Feature Clustering to Segment the road. And uses different ROI based methods to figure out road, and detect obstacles in it and provides any kind of self driving system to either go ahead or stop.

Pure C++ library for evolving neural networks with a modified NEAT that is able to access any previous data, allowing any kind of data