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Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization
iFeature is a comprehensive Python-based toolkit for generating various numerical feature representation schemes from protein or peptide sequences. iFeature is capable of calculating and extracting a wide spectrum of 18 major sequence encoding schemes that encompass 53 different types of feature descriptors. Furthermore, iFeature also integrates five kinds of frequently used feature clustering algorithms, four feature selection algorithms and three dimensionality reduction algorithms.
High-level library to help with training neural networks in PyTorch
Generate image analogies using neural matching and blending.
Image Captioning using InceptionV3 and beam search
Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.
Implementation of Super Resolution CNN in Keras.
🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
A collection of image to image papers
Benchmark datasets and code used in our paper "DoveNet: Deep Image Harmonization via Domain Verification", CVPR2020. Useful for Image harmonization, image composition/compositing, etc.
Data denoising with auto-encoders. Python3/TensorFlow implementation.
Load an image file into a numpy array with Exif orientation support. Prevents upside-down and sideways images!
Image classification for everyone.
A simple way to browse ImageNet classes and download some images from it.
:arrow_double_down: Utils to help download images by id, crop bounding box, label images, etc.
Sandbox for training convolutional networks for computer vision
A series of convenience functions to make basic image processing operations such as translation, rotation, resizing, skeletonization, and displaying Matplotlib images easier with OpenCV and Python.
Code for In silico labeling: Predicting fluorescent labels in unlabeled images
Python application for fast interactive image cropping
A curated list of applied machine learning and data science notebooks and libraries across different industries.
Matplotlib Jupyter Integration
Guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
This repository holds the scripts/programs I use to set up the software development environment on my Jetson Nano.
Some tools that I often find myself using in Kaggle challenges.
Collection of Keras models used for classification
Keras implementations of Generative Adversarial Networks.
Keras documentation, hosted live at keras.io
Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library
Neural network visualization toolkit for keras
I transfer the backend of yolov3 into mobilenet
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.