mannykayy Goto Github PK
Name: Emmanuel Kahembwe
Type: User
Company: Edinburgh Centre for Robotics
Location: Edinburgh
Blog: http://www.mannykayy.com
Name: Emmanuel Kahembwe
Type: User
Company: Edinburgh Centre for Robotics
Location: Edinburgh
Blog: http://www.mannykayy.com
Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.
A PyTorch implementation of the TCAN model in "Temporal Convolutional Attention-based Network For Sequence Modeling".
Sequence modeling benchmarks and temporal convolutional networks
Application of persistent homology to data analysis and visualization
tensorboard for chainer
tensorboard for pytorch (and chainer, mxnet, numpy, ...)
MNIST experiment from Tensorizing neural networks (Novikov et al. 2015)
TensorNet (TensorFlow implementation)
Terraform module to bootstrap a DCOS cluster
Terraform style guide
Repository for Text2Shape
Code release for Hu et al. Segmentation from Natural Language Expressions. in ECCV, 2016
The experiment result of LSTM language models on PTB (Penn Treebank) and GBW (Google Billion Word) using AdaptiveSoftmax on TensorFlow.
An implementation of quaternions for and written in tensorflow. Fully differentiable.
The implementation of Temporal Generative Adversarial Nets with Singular Value Clipping
Code for the paper "Tensorizing Generative Adversarial Nets"
The official implementation of "Train Sparsely, Generate Densely: Memory-efficient Unsupervised Training of High-resolution Temporal GAN"
A Topology Layer for Machine Learning : Persistent Homology + Features for PyTorch
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
The essence of my research, distilled for reusability. Enjoy 🥃!
A collection of notes, references and tutorials
This repository contains the source code for “Unscented Kalman filter stochastic nonlinear model predictive control” (UKF-SNMPC).
[Preprint] "Ultra-Data-Efficient GAN Training: Drawing A Lottery Ticket First, Then Training It Toughly", Tianlong Chen, Yu Cheng, Zhe Gan, Jingjing Liu, Zhangyang Wang
Unsupervised Neural Machine Translation
Jupyter Widgets for volume rendering of functions on unstructured tetrahedral meshes.
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.