ml-lab Goto Github PK
Type: Organization
Bio: forks of interesting repos relating to machine learning
Type: Organization
Bio: forks of interesting repos relating to machine learning
Kaggle 2018 @ Human Protein Atlas Image Classification
A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstartes basic data munging, analysis, and visualization techniques. Shows examples of supervised machine learning techniques.
1st Place Solution for Search Results Relevance Competition on Kaggle (https://www.kaggle.com/c/crowdflower-search-relevance)
Kalman Filter textbook using Ipython Notebook. This book takes a minimally mathematical approach, focusing on building intuition and experience, not formal proofs. Includes Kalman filters, Extended Kalman filters, unscented filters, and more. Includes exercises with solutions.
Dataset for the Collection of Facial Expressions from Japanese Artwork
PyTorch library aimed at accelerating 3D deep learning research
Deep variational inference library for Keras
A Genetic Programming platform for Python with GPU support
Distributed version-control for geospatial and tabular data
🎤⌨️ Acoustic keyboard eavesdropping
Python implementation of KCF tracking algorithm
Theano-based Deep Learning library (convnets, recurrent neural networks, and more).
🔥🗺 A Keras implementation for visualising the heatmaps of 3D Convolutions.
Implementation of BERT that could load official pre-trained models for feature extraction and prediction
Generative Adversarial Networks with Keras
Deep generative networks, coded with Keras.
An implementation of Grad-CAM with keras
Keras Implementation of Google's Inception-V4 Architecture (includes Keras compatible pre-trained weights)
Accelerating Deep Learning with Multiprocess Image Augmentation in Keras
Keras implementation of RetinaNet object detection.
"Real-Time Style Transfer" with Keras
Spatial pyramid pooling layers for keras
Implementation of Squeeze and Excitation Networks in Keras
Keras pretrained models (VGG16) + Transfer Learning for predicting classes in the Oxford 102 flower dataset
Implementation BEGAN([Boundary Equilibrium Generative Adversarial Networks](https://arxiv.org/pdf/1703.10717.pdf)) by Keras.
example of using LSTM Networks to generate Monet - like paintings
Keras version of Realtime Multi-Person Pose Estimation project
A collection of Keras GAN notebooks
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.