Lists (14)
Change Detection
🐔 Transformers
Repositories whose idea is based on vision transformers.Domain Adaptation
EarthEngine
🏠📚 Building, Damage
Knowledge Distillation
🤩 Learning
MC Dropout
Stars
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
A curated list of awesome Machine Learning frameworks, libraries and software.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
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
Image-to-Image Translation in PyTorch
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
An open access book on scientific visualization using python and matplotlib
🐍 Geometric Computer Vision Library for Spatial AI
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."
Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image …
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
A collection of machine learning examples and tutorials.
Effortless data labeling with AI support from Segment Anything and other awesome models.
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
Model interpretability and understanding for PyTorch
An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.