1073521013

1073521013's Stars

• pytorch/pytorch

  Tensors and Dynamic neural networks in Python with strong GPU acceleration

  Language:Python82.1k1.7k45k22.1k

• facebookresearch/segment-anything

  The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

  Language:Jupyter Notebook46.7k3066595.5k

• Stability-AI/generative-models

  Generative Models by Stability AI

  Language:Python24k2543012.7k

• black-forest-labs/flux

  Official inference repo for FLUX.1 models

  Language:Python13.5k121117952

• mlfoundations/open_clip

  An open source implementation of CLIP.

  Language:Python9.8k77466951

• deep-floyd/IF

  Language:Python7.6k84100497

• openai/consistency_models

  Official repo for consistency models.

  Language:Python6.1k5951409

• aiwaves-cn/agents

  An Open-source Framework for Data-centric, Self-evolving Autonomous Language Agents

  Language:Python5.2k6172408

• luosiallen/latent-consistency-model

  Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference

  Language:Python4.3k6394222

• opendilab/awesome-RLHF

  A curated list of reinforcement learning with human feedback resources (continually updated)

  3.2k613200

• Yutong-Zhou-cv/Awesome-Text-to-Image

  (ෆ`꒳´ෆ) A Survey on Text-to-Image Generation/Synthesis.

  2.1k727186

• eric-mitchell/direct-preference-optimization

  Reference implementation for DPO (Direct Preference Optimization)

  Language:Python2k1980164

• gligen/GLIGEN

  Open-Set Grounded Text-to-Image Generation

  Language:Python2k3783147

• THUDM/ImageReward

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

  Language:Python1.1k148460

• PRIV-Creation/Awesome-Controllable-T2I-Diffusion-Models

  A collection of resources on controllable generation with text-to-image diffusion models.

  845471325

• OPPO-Mente-Lab/Subject-Diffusion

  Subject-Diffusion:Open Domain Personalized Text-to-Image Generation without Test-time Fine-tuning

  Language:Python27481011

• ZGCTroy/LayoutDiffusion

  Language:Python25862419

• silent-chen/layout-guidance

  [WACV 2024] Training-Free Layout Control with Cross-Attention Guidance

  Language:Python22942112

• lucidrains/CALM-pytorch

  Implementation of CALM from the paper "LLM Augmented LLMs: Expanding Capabilities through Composition", out of Google Deepmind

  Language:Python157939

• yk7333/d3po

  [CVPR 2024] Code for the paper "Using Human Feedback to Fine-tune Diffusion Models without Any Reward Model"

  Language:Python15771414

• OPPO-Mente-Lab/GlyphDraw

  Text-To-Image Generation with Chinese Characters

  Language:Python11551313

• OPPO-Mente-Lab/Edit_Everything

  Language:Jupyter Notebook93305

• MaxHalford/pytorch-resample

  🎲 Iterable dataset resampling in PyTorch

  Language:Python90635

• 52CV/WACV-2024-Papers

  81305

• qqingzheng/AI-Self-Training-DPO-SDXL

  Unofficial implementation. Stable diffusion model trained by AI Feedback-Based Self-Training Direct Preference Optimization.

  Language:Python58345

• OPPO-Mente-Lab/GlyphDraw2

  GlyphDraw2: Automatic Generation of Complex Glyph Posters with Diffusion Models and Large Language Models

  Language:Python393

• OPPO-Mente-Lab/attention-mask-control

  code for paper "Compositional Text-to-Image Synthesis with Attention Map Control of Diffusion Models"

  Language:Python36244

• OPPO-Mente-Lab/PEA-Diffusion

  PEA-Diffusion: Parameter-Efficient Adapter with Knowledge Distillation in non-English Text-to-Image Generation

  Language:Python18210

• 1073521013/glyph-draw.github.io

  Language:HTML2100

• 1073521013/protein-subcellular-localization-prediction

  Compare methods (SVM, RF and Deep forest) to predict subcellular location of proteins.

  Language:Jupyter Notebook1001