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Keziah's Projects

mlcites icon mlcites

This repository contains citation data for papers published in NeurIPS in 2014 - 2018, and ICML 2017, 2018. It also contains the code to collect this data.

netmiko icon netmiko

Multi-vendor library to simplify Paramiko SSH connections to network devices

papers-we-love icon papers-we-love

Papers from the computer science community to read and discuss.

plexi icon plexi

Centralized network management system for scheduling TSCH networks. Monitoring and scheduling API sitting between a scheduler and devices' scheduling interface.

privacy icon privacy

Library for training machine learning models with privacy for training data

pycma icon pycma

Python implementation of CMA-ES

pyt icon pyt

A Static Analysis Tool for Detecting Security Vulnerabilities in Python Web Applications

pytorch icon pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-rl icon pytorch-rl

This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch

qutebrowser icon qutebrowser

A keyboard-driven, vim-like browser based on PyQt5.

rdatasets icon rdatasets

A collection of datasets originally distributed in R packages

reinforcement-learning-algorithms icon reinforcement-learning-algorithms

This repository contains most of classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, A3C, PPO, TRPO. (More algorithms are still in progress)

site-policy icon site-policy

Collaborative development on GitHub's site policies, procedures, and guidelines

spinningup icon spinningup

An educational resource to help anyone learn deep reinforcement learning.

state-of-the-art-result-for-machine-learning-problems icon state-of-the-art-result-for-machine-learning-problems

This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.

the-coding-interview icon the-coding-interview

Programming exercises, code katas and puzzles for your job interview training - or just for fun.

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