Betasman

Betasman's Stars

• comfyanonymous/ComfyUI

  The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.

  Language:Python88.7k5916.5k9.9k

• 2noise/ChatTTS

  A generative speech model for daily dialogue.

  Language:Python37.8k2116564.1k

• stanfordnlp/dspy

  DSPy: The framework for programming—not prompting—language models

  Language:Python28.3k1801.3k2.2k

• VikParuchuri/marker

  Convert PDF to markdown + JSON quickly with high accuracy

  Language:Python24k964381.5k

• VikParuchuri/surya

  OCR, layout analysis, reading order, table recognition in 90+ languages

  Language:Python17.1k1152071.1k

• KwaiVGI/LivePortrait

  Bring portraits to life!

  Language:Python17.1k1424451.8k

• OpenGVLab/InternVL

  [CVPR 2024 Oral] InternVL Family: A Pioneering Open-Source Alternative to GPT-4o. 接近GPT-4o表现的开源多模态对话模型

  Language:Python9.2k691k708

• huggingface/parler-tts

  Inference and training library for high-quality TTS models.

  Language:Python5.4k58153573

• awslabs/gluonts

  Probabilistic time series modeling in Python

  Language:Python5k77974796

• rlabbe/filterpy

  Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.

  Language:Python3.7k81233661

• PeterH0323/Streamer-Sales

  Streamer-Sales 销冠 —— 卖货主播 LLM 大模型🛒🎁，一个能够根据给定的商品特点从激发用户购买意愿角度出发进行商品解说的卖货主播大模型。🚀⭐内含详细的数据生成流程❗ 📦另外还集成了 LMDeploy 加速推理🚀、RAG检索增强生成 📚、TTS文字转语音🔊、数字人生成 🦸、 Agent 使用网络查询实时信息🌐、ASR 语音转文字🎙️、Vue 生态搭建前端🍍、FastAPI 搭建后端🗝️、Docker-compose 打包部署🐋

  Language:Python3.5k4531531

• ddz16/TSFpaper

  This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the type of model.

  2.8k8237243

• KimMeen/Time-LLM

  [ICLR 2024] Official implementation of " 🦙 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"

  Language:Python2.3k21175385

• kwuking/TimeMixer

  [ICLR 2024] Official implementation of "TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting"

  Language:Python1.8k85107205

• Zheng-Chong/CatVTON

  [ICLR 2025] CatVTON is a simple and efficient virtual try-on diffusion model with 1) Lightweight Network (899.06M parameters totally), 2) Parameter-Efficient Training (49.57M parameters trainable) and 3) Simplified Inference (< 8G VRAM for 1024X768 resolution).

  Language:Python1.5k15108185

• time-series-foundation-models/lag-llama

  Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting

  Language:Python1.5k35118186

• SalesforceAIResearch/uni2ts

  Unified Training of Universal Time Series Forecasting Transformers

  Language:Jupyter Notebook1.3k8100148

• test-time-training/ttt-lm-pytorch

  Official PyTorch implementation of Learning to (Learn at Test Time): RNNs with Expressive Hidden States

  Language:Python1.3k92881

• Text-to-Audio/AudioLCM

  PyTorch Implementation of AudioLCM (ACM-MM'24): a efficient and high-quality text-to-audio generation with latent consistency model.

  Language:Python1.1k11015158

• qingsongedu/Awesome-TimeSeries-SpatioTemporal-LM-LLM

  A professional list on Large (Language) Models and Foundation Models (LLM, LM, FM) for Time Series, Spatiotemporal, and Event Data.

  1.1k32386

• IDEA-Research/Grounding-DINO-1.5-API

  Grounding DINO 1.5: IDEA Research's Most Capable Open-World Object Detection Model Series

  Language:Python1k145041

• thuml/Large-Time-Series-Model

  Official code, datasets and checkpoints for "Timer: Generative Pre-trained Transformers Are Large Time Series Models" (ICML 2024) and subsequent works

  Language:Python778116977

• USNavalResearchLaboratory/TrackerComponentLibrary

  This is a collection of Matlab functions that are useful in the development of target tracking algorithms.

  Language:MATLAB4234419136

• KalmanNet/KalmanNet_TSP

  code for KalmanNet

  Language:Python35884594

• CIA-Oceanix/TrAISformer

  Pytorch implementation of TrAISformer---A generative transformer for AIS trajectory prediction (https://arxiv.org/abs/2109.03958).

  Language:Python15913446

• Agarciafernandez/MTT

  Implementation of several Bayesian multi-target tracking algorithms, including Poisson multi-Bernoulli mixture filters for sets of targets and sets of trajectories. The repository also includes the GOSPA metric and a metric for sets of trajectories to evaluate performance.

  Language:MATLAB1293033

• ludvigls/IMM-PDA

  Python implementation of the Interacting Multiple Models Probabalistic data association filter (IMM-PDA). Tracking targets from noisy RADAR data. This filter deals with multiple motion models in the Extended Kalman filter (EKF). Tuned and tested on simulated and real datasets.

  Language:Python36207

• avstack-lab/lib-avstack-core

  Simplifying the autonomous vehicle development process.

  Language:Python161180

• ShlezingerLab/AI_Aided_KFs

  Language:Python14104

• antonmil/jpda-m

  Language:MATLAB4101