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
Guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and Jetson TX1.
Deep reinforcement learning libraries for Jetson and online training
Code for Paper: Embarrassingly Simple Binary Representation Learning
Project for our CVPR2016 paper "Joint Unsupervised Learning of Deep Representations and Image Clusters"
Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation :star2:
According to the paper "Bayesian Face Revisited: A Joint Formulation", the repository realizes the algorithm of Joint Beyesian with Matlab and achieve the same result as the paper
Joint Embeddings of Shapes and Images via CNN Image Purification
A dataset of 200k English plaintext jokes.
My useful resources of Deep Learning in Tensorflow
computer vision in your browser - javascript real-time object detection
Code to accompany the paper "k-Stochastic Neighbor Embeddings for Supervised and Unsupervised Learning, ICML 2013".
Lightweight Kubernetes. 5 less than k8s.
Tools for ML/Tensorflow on Kubernetes.
Code for the CIFAR-10 competition at Kaggle, uses cuda-convnet
Code for Kaggle-CIFAR10 competition. 5th place.
Kaggle DSTL Satellite Imagery Feature Detection
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
Python implementation of KCF tracking algorithm
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.