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Wojak27
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Stable Diffusion web UI
Models and examples built with TensorFlow
The Python micro framework for building web applications.
The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.
Making large AI models cheaper, faster and more accessible
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Streamlit — A faster way to build and share data apps.
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
State-of-the-art 2D and 3D Face Analysis Project
🦔 PostHog provides open-source web & product analytics, session recording, feature flagging and A/B testing that you can self-host. Get started - free.
🍰 Desktop utility to download images/videos/music/text from various websites, and more.
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
[NeurIPS 2022] Towards Robust Blind Face Restoration with Codebook Lookup Transformer
Bringing Old Photo Back to Life (CVPR 2020 oral)
Fast and memory-efficient exact attention
Image augmentation for machine learning experiments.
Chat with your database (SQL, CSV, pandas, polars, mongodb, noSQL, etc). PandasAI makes data analysis conversational using LLMs (GPT 3.5 / 4, Anthropic, VertexAI) and RAG.
Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.
Style transfer, deep learning, feature transform
TensorFlow CNN for fast style transfer ⚡🖥🎨🖼
YOLOv10: Real-Time End-to-End Object Detection [NeurIPS 2024]
Turn your two-bit doodles into fine artworks with deep neural networks, generate seamless textures from photos, transfer style from one image to another, perform example-based upscaling, but wait..…
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version
A resource for learning about Machine learning & Deep Learning
Object detection, 3D detection, and pose estimation using center point detection:
BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models
