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A Curated List of Must-read Papers on Recommender System.
AI-powered key driver analysis tool that pinpoints root cause behind metrics fluctuation in one minute.
🔥🔥🔥🔥 (Earlier YOLOv7 not official one) YOLO with Transformers and Instance Segmentation, with TensorRT acceleration! 🔥🔥🔥
Analysis of Bot Protection systems with available countermeasures 🚿. How to defeat anti-bot system 👻 and get around browser fingerprinting scripts 🕵️♂️ when scraping the web?
This is a list of interesting papers and projects about TinyML.
Summary, Code for Deep Neural Network Quantization
A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (p…
🎨 Diagram as Code for prototyping cloud system architectures
IPyPlot is a small python package offering fast and efficient plotting of images inside Python Notebooks. It's using IPython with HTML for faster, richer and more interactive way of displaying big …
Baselines for the Image Matching Benchmark and Challenge
Collection of recent methods on (deep) neural network compression and acceleration.
real-time network architecture for mobile devices and semantic segmentation
PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882
Open source deep learning based unsupervised image retrieval toolbox built on PyTorch🔥
My personal note about local and global descriptor
Attempt at tracking states of the arts and recent results (bibliography) on speech recognition.
Compare two version of an arXiv preprint with a single command.
A library for ML benchmarking. It's powerful.
My best practice of training large dataset using PyTorch.
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
Geometric Computer Vision Library for Spatial AI
Pytorch implementation of convolutional neural network visualization techniques
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
A cloud-native vector database, storage for next generation AI applications
A curated list of papers & resources linked to open set recognition, out-of-distribution, open set domain adaptation and open world recognition
🙄 Difficult algorithm, Simple code.