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A library for efficient similarity search and clustering of dense vectors.
Draft of the fastai book
The release repo for "Vicuna: An Open Chatbot Impressing GPT-4"
Faster R-CNN for Open Images Dataset by Keras
Feature exploration for supervised learning
一个简单的搭建图像识别imagenet的flask后端API的方式,修改了全局model load的方式,使用nginx搭配Gunicorn启动Flask增加了模型推理的速度,使用虚拟环境搭配sh的启动方式,可以直接对model进行一键重启,并有错误日志监控。有问题,欢迎联系我。
The implementation of focal loss proposed on "Focal Loss for Dense Object Detection" by KM He and support for multi-label dataset.
Focal Loss implementation in Keras
Short Time Fractional Fourier Transform
This is a package for calculating 2D fractional fourier transforms with NumPy.
This is a full implementation of UNet using TensorFlow low level API, high level API and Keras
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases.
The implementation of our AAAI 2020 paper "GSSNN: Graph Smoothing Splines Neural Network".
Team original solutions for the Human Protein Atlas image classification competition
A minimal YOLO V1 implementation using Keras
Image Data Analysis Using Python - Part 1 Table of Contents : Part 1 Importing images and observe it’s properties Splitting the layers Greyscale Using Logical Operator on pixel values Masking using Logical Operator Satellite Image Data Analysis Image Data Analysis Using Python - Part 2 Table of Contents : Part 2 Intensity Transformation Convolution Segmentation Vectorization Image Compression
Code for 3rd place solution in Kaggle Human Protein Atlas Image Classification Challenge.
Code for 3rd place solution in Kaggle Humpback Whale Identification Challenge.
Attention mechanism Implementation for Keras.
Some State-of-the-Art few shot learning algorithms in tensorflow 2
Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework
Residual networks implementation using Keras-1.0 functional API
Insightface Keras implementation
An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Language Model for All.
Code for the Lovász-Softmax loss (CVPR 2018)
a project for developing registration tools with convolutional neural networks
Merlion: A Machine Learning Framework for Time Series Intelligence
PyTorch implementation of Multiple-instance learning
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.