dayyass/simple-mnist-bot dayyass/simple-mnist-bot

  • Stars
    star
    3
  • Rank 3,896,798 (Top 79 %)
  • Language PureBasic
  • Created almost 3 years ago
  • Updated almost 3 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
dayyass/simple-mnist-bot
github

dayyass

Reviews

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

Repository Details

Telegram Bot with Keras Simple MNIST ConvNet.

More Repositories

1

QaNER

Unofficial implementation of QaNER: Prompting Question Answering Models for Few-shot Named Entity Recognition.
Python
62
star
2

text-classification-baseline

Pipeline for fast building text classification TF-IDF + LogReg baselines.
Python
60
star
3

muse-as-service

REST API for sentence tokenization and embedding using Multilingual Universal Sentence Encoder.
Python
51
star
4

pytorch-ner

Pipeline for training NER models using PyTorch.
Python
47
star
5

rllib

Reinforcement Learning Library.
Python
28
star
6

dayyass

26
star
7

graph-based-clustering

Graph-Based Clustering using connected components and spanning trees.
Jupyter Notebook
24
star
8

latent-semantic-analysis

Pipeline for training LSA models using Scikit-Learn.
Python
22
star
9

git-hooks-is-all-you-need

Git Hooks Tutorial.
Python
18
star
10

calculus-of-variations

Project on solving the Calculus of variations problems using symbolic mathematics (2018).
Python
16
star
11

pydfs

Distributed File System written in Python
Python
14
star
12

neural-machine-translation

Pipeline for training Stanford Seq2Seq Neural Machine Translation using PyTorch.
Python
13
star
13

language-modeling

Pipeline for training Language Models using PyTorch.
Python
12
star
14

ml-as-service

Convert ML Models to Flask + Gunicorn + Docker Service.
Python
11
star
15

ml-interviews

My solutions for Home Assignments for Machine Learning Job Interviews.
Jupyter Notebook
10
star
16

synthetic-health-data-hackathon-2020

Synthetic Health Data Hackathon 2020 Alzheimer's MRI Analysis solution.
Jupyter Notebook
9
star
17

pytorch-tutorials

Different Deep Learning tasks solved using PyTorch models.
Python
9
star
18

project-euler

My solutions to Project Euler problems.
Python
8
star
19

extended-naive-bayes

[WIP] Extension of sklearn Naive Bayes models that allows sampling and more feature distributions.
Python
7
star
20

image-captioning

My solution to the Image Captioning Final Project of the Coursera "Introduction to Deep Learning" course with trained model deployed as telegram bot.
Jupyter Notebook
7
star
21

leetcode

My LeetCode solutions.
Python
6
star
22

milkshakelang

The MilkShake Programming Language.
Python
5
star
23

bachelor-diploma

Diploma thesis: "Assessment of credit organizations borrowers' default rate" (2019).
Jupyter Notebook
4
star
24

minor-projects

List of my minor projects.
4
star
25

kaggle

My solutions for different Kaggle Competitions.
Jupyter Notebook
4
star
26

prior-knowledge-layer-for-sequence-tagging

Jupyter Notebook
4
star
27

hpc

My experiments with MPI and OpenMP
C++
4
star
28

hse_nlp_course

Jupyter Notebook
3
star
29

LinuxDevelopment2022

C
3
star
30

bert-clf

3
star
31

reverse_words_dnn

Neural Network experiments with "Reverse Words in a String" task
Jupyter Notebook
3
star
32

mllib

Machine Learning Library
3
star
33

pytorch-autotrainer

Wrapper for PyTorch model training.
3
star
34

python-repo-template

GitHub Template for Python Repositories.
Python
3
star
35

msu_task_3_ner

1
star