AlexMaOLS

AlexMaOLS's Stars

• huggingface/diffusers

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

  Language:Python27.3k2144.5k5.6k

• Stability-AI/generative-models

  Generative Models by Stability AI

  Language:Python25.1k2633142.8k

• hpcaitech/Open-Sora

  Open-Sora: Democratizing Efficient Video Production for All

  Language:Python23.2k1915332.3k

• naklecha/llama3-from-scratch

  llama3 implementation one matrix multiplication at a time

  Language:Jupyter Notebook14.1k99191.1k

• state-spaces/mamba

  Mamba SSM architecture

  Language:Python13.8k1025961.2k

• CompVis/latent-diffusion

  High-Resolution Image Synthesis with Latent Diffusion Models

  Language:Jupyter Notebook12.2k983491.6k

• facebookresearch/DiT

  Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"

  Language:Python6.8k4683601

• FoundationVision/VAR

  [NeurIPS 2024 Best Paper][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An *ultra-simple, user-friendly yet state-of-the-art* codebase for autoregressive image generation!

  Language:Jupyter Notebook6.5k99120422

• PixArt-alpha/PixArt-alpha

  PixArt-α: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis

  Language:Python2.9k480184

• facebookresearch/ijepa

  Official codebase for I-JEPA, the Image-based Joint-Embedding Predictive Architecture. First outlined in the CVPR paper, "Self-supervised learning from images with a joint-embedding predictive architecture."

  Language:Python2.9k6058367

• facebookresearch/jepa

  PyTorch code and models for V-JEPA self-supervised learning from video.

  Language:Python2.7k3858260

• Farama-Foundation/HighwayEnv

  A minimalist environment for decision-making in autonomous driving

  Language:Python2.7k29476773

• archinetai/audio-diffusion-pytorch

  Audio generation using diffusion models, in PyTorch.

  Language:Python2k4043168

• real-stanford/diffusion_policy

  [RSS 2023] Diffusion Policy Visuomotor Policy Learning via Action Diffusion

  Language:Python1.9k18117367

• LAION-AI/CLAP

  Contrastive Language-Audio Pretraining

  Language:Python1.5k2994149

• google-research/deduplicate-text-datasets

  Language:Rust1.2k1343114

• thu-ml/RoboticsDiffusionTransformer

  RDT-1B: a Diffusion Foundation Model for Bimanual Manipulation

  Language:Python812106477

• GFNOrg/gflownet

  Generative Flow Networks

  Language:Python619141877

• autonomousvision/tuplan_garage

  [CoRL'23] Parting with Misconceptions about Learning-based Vehicle Motion Planning

  Language:Python561215161

• yizt/numpy_neural_network

  仅使用numpy从头开始实现神经网络,包括反向传播公式推导过程; numpy构建全连接层、卷积层、池化层、Flatten层；以及图像分类案例及精调网络案例等,持续更新中... ...

  Language:Jupyter Notebook537197112

• GFNOrg/torchgfn

  A modular, easy to extend GFlowNet library

  Language:Jupyter Notebook2501011836

• kuleshov-group/caduceus

  Bi-Directional Equivariant Long-Range DNA Sequence Modeling

  Language:Python17155525

• bhyang/diffusion-es

  Language:Python86367

• nv-tlabs/trace

  Official implementation of TRACE, the TRAjectory Diffusion Model for Controllable PEdestrians, from the CVPR 2023 paper: "Trace and Pace: Controllable Pedestrian Animation via Guided Trajectory Diffusion".

  Language:Python83924

• BAAI-DCAI/DataOptim

  A collection of visual instruction tuning datasets.

  Language:Python76503

• BAAI-DCAI/Training-Data-Synthesis

  [ICLR 2024] Real-Fake: Effective Training Data Synthesis Through Distribution Matching

  Language:Python76363

• nv-tlabs/pacer

  Official implementation of PACER, Pedestrian Animation ControllER, of CVPR 2023 paper: "Trace and Pace: Controllable Pedestrian Animation via Guided Trajectory Diffusion".

  Language:Python68934

• scxue/DM-NonUniform

  Official code for Accelerating Diffusion Sampling with Optimized Time Steps (CVPR 2024)

  Language:Python26424

• ling-pan/GAFN

  Language:Python23202

• scxue/SA-Solver

  Official code for SA-Solver: Stochastic Adams Solver for Fast Sampling of Diffusion Models (NeurIPS 2023)

  Language:Python6200