Popular GitHub Repositories for Structure Preserving

For developers, who are building real-time data-driven applications, Redis is the preferred, fastest, and most feature-rich cache, data structure server, and document and vector query engine.

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."

open Multiple View Geometry library. Basis for 3D computer vision and Structure from Motion.

Fawkes, privacy preserving tool against facial recognition systems. More info at https://sandlab.cs.uchicago.edu/fawkes

PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ???

A curated list of awesome responsible machine learning resources.

Photogrammetric Computer Vision Framework

Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2

Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.

An open-source data logging library for machine learning models and data pipelines. ? Provides visibility into data quality & model performance over time. ?️ Supports privacy-preserving data collection, ensuring safety & robustness. ?

EdgeConnect: Structure Guided Image Inpainting using Edge Prediction, ICCV 2019 https://arxiv.org/abs/1901.00212

A unified framework for privacy-preserving data analysis and machine learning

micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape

Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond

An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.

Ultra Fast Structure-aware Deep Lane Detection (ECCV 2020)

Training PyTorch models with differential privacy

Interact, analyze and structure massive text, image, embedding, audio and video datasets

Build applications that make decisions (chatbots, agents, simulations, etc...). Monitor, trace, persist, and execute on your own infrastructure.