아주대학교 소프트웨어학과 컴퓨터비젼 과제
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Oct 8, 2024 - Jupyter Notebook
아주대학교 소프트웨어학과 컴퓨터비젼 과제
Machine Learning using Python, R, and Matlab: Deep learning (TensorFlow, Keras, and PyTorch), scikit-learn, matplotlib, pandas, NumPy, SciPy, Python essentials.
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flowa.ai, Machine Learning, Text, Image, Neural Network, etc.
AgML aspires to identify key research gaps and opportunities at the intersection of agricultural modelling and machine learning research and support enhanced collaboration and engagement between experts in these disciplines.
Simple Tensorflow model for recognizing digits, built over the MIST dataset
Quasar Factor Analysis – An Unsupervised and Probabilistic Quasar Continuum Prediction Algorithm with Latent Factor Analysis
Hi, this repository contains questions and answers from various classes taken at BISA AI Academy
📕machine learning tech collections at Microsoft and subsidiaries.
PySpark is a Python API for support Python with Spark. Whether it is to perform computations on large datasets or to just analyze them
HOPE2Net network for predicting gene expressions in SRT
Hand Gesture Recognition using Deep Learning Neural Networks using YOLO algorithm
Kaggle Kernel for Rain In Australia dataset. It predicts whether there will be Rain tomorrow in Australia or not with 85% Accuracy.
Python implementation of supervised PCA, supervised random projections, and their kernel counterparts.
Perceptron Learning Algorithm and Linear Regression
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