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DiffuseStyleGesture: Stylized Audio-Driven Co-Speech Gesture Generation with Diffusion Models (IJCAI 2023) | The DiffuseStyleGesture+ entry to the GENEA Challenge 2023 (ICMI 2023, Reproducibility A…
FinGLM: 致力于构建一个开放的、公益的、持久的金融大模型项目，利用开源开放来促进「AI+金融」。
Official implementation for SIGGRAPH 2023 paper "Learning Physically Simulated Tennis Skills from Broadcast Videos"
HuggingLLM, Hugging Future.
✨ Light and Fast AI Assistant. Support: Web | iOS | MacOS | Android | Linux | Windows
整理开源的中文大语言模型，以规模较小、可私有化部署、训练成本较低的模型为主，包括底座模型，垂直领域微调及应用，数据集与教程等。
ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型
Awesome-LLM: a curated list of Large Language Model
Diffusers pipeline for inpainting with any available finetune
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
Official implementation for "Generating Diverse and Natural 3D Human Motions from Texts (CVPR2022)."
A Collection of Variational Autoencoders (VAE) in PyTorch.
ReMoDiffuse: Retrieval-Augmented Motion Diffusion Model
The official PyTorch implementation of the paper "MotionGPT: Finetuned LLMs are General-Purpose Motion Generators"
(CVPR 2023) Pytorch implementation of “T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete Representations”
Bringing Characters to Life with Computer Brains in Unity
Motion imitation with deep reinforcement learning.
Data preparation and loader for AMASS
[CVPR 2023] Executing your Commands via Motion Diffusion in Latent Space, a fast and high-quality motion diffusion model
The official implementation of the paper "Human Motion Diffusion as a Generative Prior"
Conditional diffusion model to generate MNIST. Minimal script. Based on 'Classifier-Free Diffusion Guidance'.
Official PyTorch implementation of the paper "TEMOS: Generating diverse human motions from textual descriptions", ECCV 2022 (Oral)
[SIGGRAPH 2023] Composite Motion Learning with Task Control
The official PyTorch implementation of the paper "Human Motion Diffusion Model"
🕹️ Official Implementation of Conditional Motion In-betweening (CMIB) 🏃
Convolutional Autoencoders for Human Motion Infilling (3DV 2020)