Popular GitHub Repositories for Autoregressive Moving Average

[NeurIPS 2024 Best Paper][GPT beats diffusion?] [scaling laws in visual generation?] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An *ultra-simple, user-friendly yet state-of-the-art* codebase for autoregressive image generation!

An implementation of model parallel autoregressive transformers on GPUs, based on the Megatron and DeepSpeed libraries

XLNet: Generalized Autoregressive Pretraining for Language Understanding

mean Average Precision - This code evaluates the performance of your neural net for object recognition.

AI Search & RAG Without Moving Your Data. Get instant answers from your company's knowledge across 100+ apps while keeping data secure. Deploy in minutes, not months.

[ICLR 2025] From anything to mesh like human artists. Official impl. of "MeshAnything: Artist-Created Mesh Generation with Autoregressive Transformers"

Find big moving stocks before they move using machine learning and anomaly detection

Autoregressive Model Beats Diffusion: ? Llama for Scalable Image Generation

Awesome resources on normalizing flows.

Infinity ∞ : Scaling Bitwise AutoRegressive Modeling for High-Resolution Image Synthesis

"Deep Generative Modeling": Introductory Examples

?? Transformer TTS: Implementation of a non-autoregressive Transformer based neural network for text to speech.

Object Detection Metrics. 14 object detection metrics: mean Average Precision (mAP), Average Recall (AR), Spatio-Temporal Tube Average Precision (STT-AP). This project supports different bounding box formats as in COCO, PASCAL, Imagenet, etc.

StreamSpeech is an “All in One” seamless model for offline and simultaneous speech recognition, speech translation and speech synthesis.

[ICASSP 2024] ? Matcha-TTS: A fast TTS architecture with conditional flow matching

A Non-Autoregressive Text-to-Speech (NAR-TTS) framework, including official PyTorch implementation of PortaSpeech (NeurIPS 2021) and DiffSpeech (AAAI 2022)

PDEBench: An Extensive Benchmark for Scientific Machine Learning

Simple and Efficient Tensorflow implementations of NER models with tf.estimator and tf.data

Pix2Seq codebase: multi-tasks with generative modeling (autoregressive and diffusion)

Scene Text Recognition with Permuted Autoregressive Sequence Models (ECCV 2022)