Selich/hask-alex-slack Selich/hask-alex-slack

  • Stars
    star
    1
  • Language
    Haskell
  • Created over 4 years ago
  • Updated almost 2 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
Selich/hask-alex-slack
github

Selich

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

Library for handling Slack commands and AWS events

More Repositories

1

Piccolo

Language based on Pi-calculus
Haskell
3
star
2

Google-Hashcode-2019-Solution

Our solution for the Google Hashcode 2019 done in the GDG Novi Sad Hub
C++
3
star
3

segdiff

Python
2
star
4

Serbian-Airquality

Analysing data considering the air quality in Serbia.
Jupyter Notebook
2
star
5

algo-un-quant

Python
1
star
6

takehome-ts

JavaScript
1
star
7

lox-rust

1
star
8

tensorflow-federated-learning

Testing tensorflow federated learning framework for decentralized machine learning.
Python
1
star
9

Draggy

Drag and drop dashboard for notes, pictures and lists.
JavaScript
1
star
10

react-graph

JavaScript
1
star
11

unidrei-app

TypeScript
1
star
12

Selich

1
star
13

unidrei-api

TypeScript
1
star
14

neurologic

Neural network implementation in c++
C++
1
star
15

JunctionX-Budapest---Solution

Solution project for the JunctionX Hackathon
JavaScript
1
star
16

bellerophon

Go
1
star
17

social_comp

Jupyter Notebook
1
star
18

OnioNN

Jupyter Notebook
1
star
19

Diffusion-model-segmentation

1
star
20

SEGAN-tf2

SEGAN implementation using Tensorflow 2
Python
1
star
21

in2deep

Jupyter Notebook
1
star
22

mlgs-temp

Jupyter Notebook
1
star
23

homepage

JavaScript
1
star
24

Quantstamp-hackTUM-solution

Solution for the Quantstamp challenge - hackTUM 2021
TypeScript
1
star
25

Etherium_IPFS_Playground

JavaScript
1
star
26

dotfiles

Vim Script
1
star
27

TyphoonHackathon2018

Hackathon repo solution
HTML
1
star
28

PrivateGraphWalks

This project implements the methods described in the paper: Morgane Ayle, Jan Schurchardt, Lukas Gosch, Daniel Zügner, Stephan Günnemann, "Training Differentially Private Graph Neural Networks with Random Walk Sampling", arXiv:2301.00738.
Python
1
star
29

serverless-haskell-devcontainer

A DevContainer for VSCode containing GHC, Stack, HIE (Haskell IDE Engine) and Serverless framework
Dockerfile
1
star