jakelevi1996 Goto Github PK
Type: User
Bio: PhD student at the University of Oxford, studying Autonomous Intelligent Machines and Systems (AIMS) https://aims.robots.ox.ac.uk/
Twitter: lakejevi
Type: User
Bio: PhD student at the University of Oxford, studying Autonomous Intelligent Machines and Systems (AIMS) https://aims.robots.ox.ac.uk/
Twitter: lakejevi
Repo for AIMS tips and tricks practical 2024-05-02
Investigating data-efficiency for MNIST using meta-learning, and also investigating modified 2nd-order training methods
Computational neuroscience simulations including TD reinforcement learning, Hopfield networks, and cortical circuit dynamics
Iteratively create and display constructions in Euclidean space
Simple test for printing the contents of the Docker container's filesytem
This repository is primarily for coursework submission to 4F13: 'Probabilistic machine learning' coursework 1.
Personal website (WIP)
Collection of Python utilities intended to be useful for machine learning research and experiments
This repository implements meta-learning algorithms from the literature such as Reptile (Nichol, 2018) as a map-reduce algorithm.
Minimalist example of running a simple Tensorflow program in a docker container, with CPU and GPU options
Investigating MFOS in self-play
Implementation and research on generalisations of Newton's method for optimisation
Personal MATLAB implementation of artificial neural network training
Find solutions to L1, L2 and Linf norm-minimisation problems using approximate gradient-based approaches and compare with exact least-squares and linear-programming methods
My notes on everything (WIP)
This repository is primarily for coursework submission to 4F13: 'Probabilistic machine learning' coursework 2.
Repository containing implementations of RL (reinforcement learning) algorithms, specifically from "Sutton, Richard S., and Andrew G. Barto. Reinforcement learning: An introduction. MIT press, 2018." Eventually I hope to also add implementations of more cutting edge RL algorithms directly from the literature.
This repository is primarily for coursework submission to 4M20: 'Robotics' coursework 1.
Investigation into perception of shapes from motion
Project aims to measure sleep and classify sleep stages
Some stochastic optimisation algorithms (Tabu search and Particle Swarm Optimisation), tested and compared on the 2D and 5D Schwefel functions
Make GIF of given text file, letter by letter or word by word
Test repository for calling the tf.app.run wrapper from a different script
Test repository for running a list of jobs in Python using threads
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.