HappyPiepie

HappyPiepie's Stars

• Philharmy-Wang/M4SFWD

  Language:Python30

• HappyPiepie/RV2M

  RV2M-page

  1

• MooreThreads/Moore-AnimateAnyone

  Character Animation (AnimateAnyone, Face Reenactment)

  Language:Python3.2k247

• magic-research/magic-animate

  [CVPR 2024] MagicAnimate: Temporally Consistent Human Image Animation using Diffusion Model

  Language:Python10.5k1.1k

• guoqincode/Open-AnimateAnyone

  Unofficial Implementation of Animate Anyone

  Language:Python2.9k237

• Kuingsmile/clash-core

  backup of clash core

  Language:Go896906

• Shreyz-max/Video-Captioning

  Video Captioning is an encoder decoder mode based on sequence to sequence learning

  Language:Python12035

• EricGuo5513/TM2T

  Official implementation of "TM2T: Stochastic and Tokenized Modeling for the Reciprocal Generation of 3D Human Motions and Texts (ECCV2022)"

  Language:Python10614

• Soulter/hugging-chat-api

  HuggingChat Python API🤗

  Language:Python849122

• binary-husky/gpt_academic

  为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。

  Language:Python65.4k8k

• Garfield-kh/TM2D

  [ICCV 2023] TM2D: Bimodality Driven 3D Dance Generation via Music-Text Integration

  Language:Python773

• haofanwang/awesome-conditional-content-generation

  Update-to-data resources for conditional content generation, including human motion generation, image or video generation and editing.

  25227

• GuyTevet/motion-diffusion-model

  The official PyTorch implementation of the paper "Human Motion Diffusion Model"

  Language:Python3.1k339

• Mathux/ACTOR

  Official Pytorch implementation of the paper "Action-Conditioned 3D Human Motion Synthesis with Transformer VAE", ICCV 2021

  Language:Python38352

• labmlai/annotated_deep_learning_paper_implementations

  🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

  Language:Python55.9k5.7k

• google-research/tuning_playbook

  A playbook for systematically maximizing the performance of deep learning models.

  27k2.2k

• nghorbani/amass

  Data preparation and loader for AMASS

  Language:Jupyter Notebook65087

• vchoutas/smplx

  SMPL-X

  Language:Python1.8k308

• CompVis/latent-diffusion

  High-Resolution Image Synthesis with Latent Diffusion Models

  Language:Jupyter Notebook11.8k1.5k

• yinruiqing/clean-code-python

  :bathtub: Clean Code concepts adapted for Python

  Language:Python303

• atnikos/teach

  Official PyTorch implementation of the paper "TEACH: Temporal Action Compositions for 3D Humans" [3DV 2022]

  Language:Python38641