Explore Artificial Intelligence Open Source Repositories - Most Downloaded Starting with D

dots.tts is a 2B-parameter fully continuous, end-to-end autoregressive (AR) text-to-speech system. The backbone pairs a semantic encoder, an LLM, and an autoregressive flow-matching acoustic head over a 48 kHz AudioVAE, with no discrete tokens anywhere in the pipeline.

Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learn...

An LLM Based Diagnosis System (https://arxiv.org/pdf/2312.01454.pdf)

DeepTutor: Lifelong Personalized Tutoring. https://deeptutor.info/.

Apache Doris is a real-time analytics and hybrid search database for AI agents.

TypeScript implementation of the DXOS protocols, SDK, toolchain and Composer.

This is a repository to demonstrate my details, skills, projects and to keep track of my progression in Data Analytics and Data Science topics.

A repository that contains models, datasets, and fine-tuning techniques for DB-GPT, with the purpose of enhancing model performance in Text-to-SQL

dsh-routing-suite — injector + router-standard kit: install the runtime injector first, then the task-aware reasoning-mode router preset (measured P1-P23).

Data Science algorithms and topics that you must know. (Newly Designed) Recommender Systems, Decision Trees, K-Means, LDA, RFM-Segmentation, XGBoost in Python, R, and Scala.

:cake: doddle-model: machine learning in Scala.

Chrome extension to extract styles from any website and generate DESIGN.md files and design skills for AI based on TypeUI