luckeciano Goto Github PK
Name: Luckeciano Melo
Type: User
Company: University of Oxford
Bio: Towards General Artificial Intelligence. Primary focus on Deep Reinforcement Learning. PhD Student at University of Oxford.
Blog: luckeciano.github.io
Name: Luckeciano Melo
Type: User
Company: University of Oxford
Bio: Towards General Artificial Intelligence. Primary focus on Deep Reinforcement Learning. PhD Student at University of Oxford.
Blog: luckeciano.github.io
Using reinforcement learning for AB test
Automata to Regular Expression Converter - Programming Assignment of "Automata Theory" course.
Deep Bayesian Active Learning for Preference Modeling in Large Language Models
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Code for the paper "Bottom-Up Meta-Policy Search", presented at NeurIPS Deep RL Workshop 2019
Laboratório de Balanceamento de Carga em Sistemas de Múltiplas CPUs
My Solutions to UVA exercises from Competitive Programming 3 (Book).
My CV
The Data Scientist's Toolbox!
The Leek group guide to data sharing
Repository for Research Work "A Deep Reinforcement Learning Method for Humanoid Kick"
Repository for code from the Master's Thesis "Imitation Learning and Meta-Reinforcement Learning for Optimizing Humanoid Robot Motions".
A Deep Reinforcement Learning Method for Humanoid Kick Motion - Bachelor's Thesis
Exercises for "Discrete Structures for Computing" course.
training neural networks using distributed tensorflow
Plotting Assignment 1 for Exploratory Data Analysis
Solutions to HackerRank's exercises
Code for the paper "Learning Humanoid Robot Running Skills through Proximal Policy Optimization"
Implementation of Particle Swarm Optimization for N-queens problem
Database Techniques
Laboratório 5 de Compiladores - Código Intermediário
Code from some models used in First Place's solution of Kaggle Data Science Challenge for EEF for ITA/Unifesp SJC students.
Kaggle Tensorflow Speech Recognition Challenge
Implementation of Lempel Ziv's algorithm for compressing data.
This repository contains my labs from Machine Learning - Stanford, on Coursera. Please, don't use this code in assignments. This is a violation of Coursera Honor Code.
A simple implementation of minesweeper in Ruby
Implementations of machine learning algorithms from scratch.
First Programming Assignment using creative patterns in Java from "Intro to Software Engineering" course.
A distributed MLP neural architecture search for TORQUE-based clusters
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.