Stars
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Stable Diffusion web UI
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.
《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
High-Resolution Image Synthesis with Latent Diffusion Models
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch and FLAX.
Generative Models by Stability AI
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
Official inference repo for FLUX.1 models
Open standard for machine learning interoperability
MiniCPM-o 2.6: A GPT-4o Level MLLM for Vision, Speech and Multimodal Live Streaming on Your Phone
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
PyTorch implementations of Generative Adversarial Networks.
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
tiktoken is a fast BPE tokeniser for use with OpenAI's models.
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐