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
Introduction to Nonparametric Bayes, Infinite Mixture Models, and the Dirichlet Process (+ McDonald's)
Code for Discriminability objective for training descriptive captions(CVPR 2018)
Code for the "Discriminative Regularization for Generative Models" paper.
Official implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"
PyTorch implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"
Disentanglement library for PyTorch
disentanglement_lib is an open-source library for research on learning disentangled representations.
Disentangling Factors of Variation by Mixing Them codes
Disentangling Multiple Conditional Inputs in GANs
Code release for Stereo 3D Object Detection via Shape Prior Guided Instance Disparity Estimation (CVPR 2020)
Project page of "Dissecting-Person-Re-identification-from-the-Viewpoint-of-Viewpoint, cvpr2019"
Distributed A3C
Multi-GPU reinforcement learning using Deep Q-Network in TensorFlow for OpenAI Gym
Pytorch implementation of "One-Sided Unsupervised Domain Mapping"
ICLR 2016 paper.
Neural Network Distiller: a Python package for neural network compression research.
A large scale study of Knowledge Distillation. NYU Computer Vision Project
Generating Distractors for Reading Comprehension Questions from Real Examinations https://arxiv.org/abs/1809.02768
An example of data parallelism and async updates of parameter in tensorflow.
Distributed TensorFlow basics and examples of training algorithms
Implementation of 'A Distributional Perspective on Reinforcement Learning' based on OpenAi baselines
Code for paper: DivideMix: Learning with Noisy Labels as Semi-supervised Learning
The DIY-Thermocam is a do-it-yourself infrared camera, based on the FLIR Lepton long-wave infrared sensor and the popular Teensy 3.6.
An all-in-one Docker image for deep learning. Contains all the popular DL frameworks (TensorFlow, Theano, Torch, Caffe, etc.)
Code and assignment repository for the Imperial College Mathematics department Deep Learning course
Scripts to setup a GPU / CUDA-enabled compute server with libraries for deep learning
Recurrent Deep Learning Tutorials and examples: RNN, GRU, LSTM
Implementation of papers on Deep Seq2seq learning using Pytorch.
"What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?", NIPS 2017 (unofficial code).
This is the source code for the series "Visualizing Deep 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.