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Name: Bayesian and Neural Systems Group
Type: Organization
Bio: Machine Learning research group @ University of Edinburgh
Location: Edinburgh, Scotland
Name: Bayesian and Neural Systems Group
Type: Organization
Bio: Machine Learning research group @ University of Edinburgh
Location: Edinburgh, Scotland
Caffe: a fast open framework for deep learning.
A drop-in replacement for CIFAR-10.
code for the llm personalize project
DAGAN: Data Augmentation Generative Adversarial Networks
Image Completion with Deep Learning in TensorFlow
Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)
Successfully training approximations to full-rank matrices for efficiency in deep learning.
The original code for the paper "Benchmarks for Continual Few-Shot Learning".
The original code for the data providers and the datasets of the paper "Defining Benchmarks for Continual Few-Shot Learning".
The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) paper in Pytorch.
A set of tools built to simplify daily driving of cloud resources for individual VM access, Kubernetes batch jobs and miscellaneous useful functionality related to cloud-based ML research
A PyTorch Library for Meta-learning Research
The original code for the paper "Learning to Learn via Self-Critique".
Match your fig size and font to conference formats.
Code for Neural Architecture Search without Training (ICML 2021)
The fastest knowledge base for growing teams. Beautiful, realtime collaborative, feature packed, and markdown compatible.
Welcome to GATE - Generalization After Transfer Evaluation - A framework built to evaluate a learning process on its ability to learn and generalize on previously unseen Tasks, Data domains and Modalities.
Official repository for "Planning to Go Out-of-Distribution in Offline-to-Online Reinforcement Learning"
Code for BlockSwap (ICLR 2020).
A pytorch based classification experiments template
Documentation for the pytorch-experiments-template repo
A Pytorch implementation of https://arxiv.org/abs/1810.12348.
Cheap distillation for convolutional neural networks.
Code for https://arxiv.org/abs/1810.04622
Official PyTorch implementation of the paper "Self-Supervised Relational Reasoning for Representation Learning", NeurIPS 2020 Spotlight.
A plug-in replacement for DataLoader to load Imagenet disk-sequentially in PyTorch.
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.