jotoy

jotoy's Stars

• microsoft/Cream

  This is a collection of our NAS and Vision Transformer work.

  Language:Python1.7k236

• HqWu-HITCS/Awesome-Chinese-LLM

  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。

  19.2k1.8k

• OFA-Sys/Chinese-CLIP

  Chinese version of CLIP which achieves Chinese cross-modal retrieval and representation generation.

  Language:Python5k489

• QwenLM/Qwen-VL

  The official repo of Qwen-VL (通义千问-VL) chat & pretrained large vision language model proposed by Alibaba Cloud.

  Language:Python5.7k432

• abpframework/abp

  Open-source web application framework for ASP.NET Core! Offers an opinionated architecture to build enterprise software solutions with best practices on top of the .NET. Provides the fundamental infrastructure, cross-cutting-concern implementations, startup templates, application modules, UI themes, tooling and documentation.

  Language:C#13.3k3.5k

• Vision-CAIR/ChatCaptioner

  Official Repository of ChatCaptioner

  Language:Jupyter Notebook46330

• Vision-CAIR/MiniGPT-4

  Open-sourced codes for MiniGPT-4 and MiniGPT-v2 (https://minigpt-4.github.io, https://minigpt-v2.github.io/)

  Language:Python25.6k2.9k

• mlfoundations/datacomp

  DataComp: In search of the next generation of multimodal datasets

  Language:Python68959

• kvablack/ddpo-pytorch

  DDPO for finetuning diffusion models, implemented in PyTorch with LoRA support

  Language:Python51950

• tmabraham/ddpo-pytorch

  Reproduction of DDPO paper (RLHF for diffusion)

  Language:Jupyter Notebook832

• THUDM/ImageReward

  [NeurIPS 2023] ImageReward: Learning and Evaluating Human Preferences for Text-to-image Generation

  Language:Python1.4k71

• Stability-AI/stablediffusion

  High-Resolution Image Synthesis with Latent Diffusion Models

  Language:Python40.6k5.2k

• 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:Python59.5k6k

• huggingface/diffusers

  🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch and FLAX.

  Language:Python28.3k5.8k

• deep-floyd/IF

  Language:Python7.8k511

• vllm-project/vllm

  A high-throughput and memory-efficient inference and serving engine for LLMs

  Language:Python42.7k6.5k

• hojonathanho/diffusion

  Denoising Diffusion Probabilistic Models

  Language:Python4.2k406

• openai/improved-diffusion

  Release for Improved Denoising Diffusion Probabilistic Models

  Language:Python3.5k506

• Nota-NetsPresso/BK-SDM

  A Compressed Stable Diffusion for Efficient Text-to-Image Generation [ECCV'24]

  Language:Python28420

• segmind/distill-sd

  Segmind Distilled diffusion

  Language:Python59538

• lucidrains/imagen-pytorch

  Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch

  Language:Python8.2k779

• CompVis/latent-diffusion

  High-Resolution Image Synthesis with Latent Diffusion Models

  Language:Jupyter Notebook12.6k1.6k

• NVlabs/stylegan3

  Official PyTorch implementation of StyleGAN3

  Language:Python6.6k1.2k

• mli/paper-reading

  深度学习经典、新论文逐段精读

  29.6k2.6k

• facebookresearch/ImageBind

  ImageBind One Embedding Space to Bind Them All

  Language:Python8.6k801

• XingangPan/DragGAN

  Official Code for DragGAN (SIGGRAPH 2023)

  Language:Python35.9k3.4k

• AUTOMATIC1111/stable-diffusion-webui

  Stable Diffusion web UI

  Language:Python150k28k

• kjerk/instructblip-pipeline

  A multimodal inference pipeline that integrates InstructBLIP with textgen-webui for Vicuna and related models.

  Language:Python302

• BDBC-KG-NLP/QA-Survey-CN

  北京航空航天大学大数据高精尖中心自然语言处理研究团队开展了智能问答的研究与应用总结。包括基于知识图谱的问答（KBQA），基于文本的问答系统（TextQA），基于表格的问答系统（TableQA）、基于视觉的问答系统（VisualQA）和机器阅读理解（MRC）等，每类任务分别对学术界和工业界进行了相关总结。

  1.8k263

• google-research/google-research

  Google Research

  Language:Jupyter Notebook35.2k8k