Rizdi Aprilian's repositories
MLOps_Zoomcamp
Archieves containing files made for attending MLOps Zoomcamp
awesome-computer-vision
A curated list of awesome computer vision resources
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
Belajar-Computer-Vision
Resource belajar Computer Vision Online
DataEngineering_UK_house_price
Practice of Data Engineering on case UK house price
MLZoomcamp_2022
A repository of learning machine learning from zoomcamp
computerscience
Free tech resources for faculty, students, and dev advocates for use in computer science courses, workshops, and hackathons.
Data-Science--Cheat-Sheet
Cheat Sheets
deep-learning-v2-pytorch
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
GCP_TwitterSentimentAnalysis
Internship project. Making a functional pipeline of Sentiment Analysis using Python3, Tweepy, Sklearn, Google Cloud Platform SDK
hackerrank
all of practices stored in github archieve
handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Machine-Learning-with-Python
Python code for common Machine Learning Algorithms
Machine-Learning-with-Python-1
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
ml_zoomcamp_ht
Collection of notes and practise exercises created during ML Zoomcamp 2022
My-Project
This repository contains my previous projects created & developed so far from IYKRA Data Fellowship
Numpy_Stack_for_Deep_Learning
Numpy as backbone element of deep learning framework
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Software_Engineering_Practices_part_1
Introduction to practices in software engineering
StatisticalModeling
Statistical modeling and Bayesian modeling by PyMC3, Stan and TensorFlow Probability
Stats-Maths-with-Python
General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python
t81_558_deep_learning
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
tensorflow_object_counting_api
🚀 The TensorFlow Object Counting API is an open source framework built on top of TensorFlow and Keras that makes it easy to develop object counting systems!
training-data-analyst
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
Yolo_Label
GUI for marking bounded boxes of objects in images for training neural network Yolo v3 and v2 https://github.com/AlexeyAB/darknet, https://github.com/pjreddie/darknet