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A transformer-inspired neural network for surgical action triplet recognition from laparoscopic videos.
Collection of Summer 2026 tech internships!
[NeurIPS 2024] Motion Consistency Model: Accelerating Video Diffusion with Disentangled Motion-Appearance Distillation
Production-Grade Container Scheduling and Management
High-performance In-browser LLM Inference Engine
Multimodal Prompting with Missing Modalities for Visual Recognition, CVPR'23
经济学人(含音频)、纽约客、卫报、连线、大西洋月刊等英语杂志免费下载,支持epub、mobi、pdf格式, 每周更新
The SCIN dataset contains 10,000+ images of dermatology conditions, crowdsourced with informed consent from US internet users. Contributions include self-reported demographic and symptom informatio…
Conductor is an event driven orchestration platform providing durable and highly resilient execution engine for your applications
Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference
Official repo for consistency models.
Takagi and Nishimoto, CVPR 2023
Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.
MJML wrapped in Express for use over HTTP
Conductor is a microservices orchestration engine.
Pytorch implementation of Diffusion Models (https://arxiv.org/pdf/2006.11239.pdf)
Self-contained, minimalistic implementation of diffusion models with Pytorch.
Conditional diffusion model to generate MNIST. Minimal script. Based on 'Classifier-Free Diffusion Guidance'.
Denoising Diffusion Probabilistic Models
ShivamShrirao / diffusers
Forked from huggingface/diffusers🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch
[NeurIPS 2022] Towards Robust Blind Face Restoration with Codebook Lookup Transformer
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
Stable Diffusion web UI
CostPilot is an all-in-one cloud cost management platform that applies to applications hosted on all cloud platforms.
CS 251: Cryptocurrencies and blockchain technologies (homework + projects)
4 labs + 2 challenges + 4 docs
Understanding what your bits do when you're not looking.