alexanderimanicowenrivers Goto Github PK
Name: Alexander Cowen-Rivers
Type: User
Bio: Interested in representation learning and reinforcement learning. Completing my MSc thesis under the UCL Machine Reading group.
Location: London
Name: Alexander Cowen-Rivers
Type: User
Bio: Interested in representation learning and reinforcement learning. Completing my MSc thesis under the UCL Machine Reading group.
Location: London
Webpage
BabyAI platform. A testbed for training agents to understand and execute language commands.
BERT pre-training in Thai language
Making Protein folding accessible to all via Google Colab!
Coursera online course
An ungodly union of GitHub and Figshare
Tensorflow implementation of "Show, Attend and Tell: Neural Image Caption Generation with Visual Attention"
Code to accompany the publication
This project is to formalise the iPinYou RTB data into a standard format for further researches.
Variational Inference
A simple Tensorflow implementation of https://arxiv.org/abs/1906.04985
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
Neural machine translation and sequence learning using TensorFlow
A fast and simple framework for building and running distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
Generic reinforcement learning codebase in TensorFlow
A collection of 80+ pre-trained RL agents using Stable Baselines
Bid optimisation methods for real-time bidding in online display advertising.
Tools for accelerating safe exploration research.
A community-driven Emacs distribution - The best editor is neither Emacs nor Vim, it's Emacs *and* Vim!
Implementation for the paper "Multiagent Learning Using a Variable Learning Rate"
A colab that implements the Symplectic Gradient Adjustment optimizer from "The mechanics of n-player differentiable games"
A python tool for extracting distance measurements from text and normalising their values to cm.
Practise pruning and utilising model sparsity in tensorflow.
TikZ library for drawing Bayesian networks, graphical models and (directed) factor graphs in LaTeX.
Reimplementation of Feasibility of controlling 2019-nCoV outbreaks by isolation of cases and contacts
Reimplementation of World-Models (Ha and Schmidhuber 2018) in pytorch
World Models Experiments
ziptest
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.