shamiulshifat Goto Github PK

argo-on-microk8s

In this repo, we talk about Argo workflows, CD working on microk8s based cluster

argo-practice

practising argo here

argo-workflows

Workflow engine for Kubernetes

autoscaler

Autoscaling components for Kubernetes

awesome-argo

A curated list of awesome projects and resources related to Argo (a CNCF hosted project)

awesome-mlops

:sunglasses: A curated list of awesome MLOps tools

breastcancerclassificationusingresnet50

BreastCancer Classificication using RessNet50

cnn_transferlearning

Inception V3 transfer learning model is used on horse vs humans classification datasets

codestackr

convolution-from-scratch

In this repo, i have tried to build a convolutional neural network from scratch without tensorflow library. Just used numpy and other common library to explain how cnn works!

covid19-dataset-visualization-using-racing-bar-chart

In this repo, i have made a jupyter notebook python file that downloads latest covid19 dataset from john hopkins university and show racing barplot visualization among countries for total deatch count until now!

customer-segmentation-using-ml

# Customer Segmentation This notebook analyzing the content of an E-commerce database. Based on this analysis, We will predict segment for customer. ## Dependencies * Python 2.7 or Python >3.4 * pandas * numpy * scipy * scikit-learn * matplotlib * seaborn * nltk * wordcloud * jupyter notebook ## Install dependencies ``` Pandas: $ sudo pip install pandas numpy: $ sudo pip install numpy scipy: $ sudo pip install scipy scikit-learn: $ sudo pip install -U scikit-learn matplotlib: $ sudo apt-get install libfreetype6-dev libpng-dev $ sudo pip install matplotlib seaborn: $ sudo pip install seaborn jupyter notebook: $ sudo apt-get -y install ipython ipython-notebook $ sudo -H pip install jupyter nltk: $ sudo pip install nltk wordcloud: $ sudo pip install wordcloud ``` ## Usage * Dataset path: `./input_data/` * Run the code given in ipython notebook `Cust_segmentation_online_retail.ipynb`

data-preprocessing-from-scratch

In this project, i have taken 2 datasets and applied various data preprocessing techniques like min-max, z score etc normalization, linear- non linear dimension reduction techinues, naive bayes classification techniques.

data-visualization-on-fm-radio

In this repo i have analyzed and visualized various FM radio listening activities like top tracks, listeners popularity, trending etc.

data-wrangling-and-analysis-of-weratedogs

I have analysed WE RATE DOGS twitter data analysis and tried to understand the visualization insights.

data_visualization

A collection of my data visualizations, mostly in Python.

database_projects_sql

This repo contains my practice database projects using SQL and python language i do for learning purposes.

deep-q-learning

Minimal Deep Q Learning (DQN & DDQN) implementations in Keras

deep-reinforcement-learning

deep-reinforcement-learning-gym

Deep reinforcement learning model implementation in Tensorflow + OpenAI gym

deep-reinforcement-learning-with-pytorch

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

demo-documentation

demo repo to test oreadthedocs features

devopssecure

sample dev ops with security

distributional_perspective_on_rl

Implementation of A Distributional Perspective on Reinforcement Learning

docker-python-chromedriver

Dockerfile for running Python Selenium in headless Chrome (Python 2.7 / 3.6 / 3.7 / 3.8 / Alpine based Python / Chromedriver / Selenium / Xvfb included in different versions)

dqn-flappybird

Play flappy bird with DQN, a demo for reinforcement learning, implemented using PyTorch

drl-wireless-networks

Implementation of deep reinforcement learning for optimizing the beams and predicting the blockage events

drl_flappy_bird

>>To run the code, just type python FlappyBirdDQN.py

facial-expressions-detection-using-deep-convolutional-network-using-keras-tensorflow.

Tthis repo contains my all of deep learning related projects ,works

free-docker-books

Learn books from Docker & K8s