『ゼロから作る Deep Learning ❸』(O'Reilly Japan, 2020)
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Updated
May 22, 2024 - Python
『ゼロから作る Deep Learning ❸』(O'Reilly Japan, 2020)
All my experiments with AI and ML
This repository is the collection of research papers in Deep learning, computer vision and NLP.
iOS Core ML implementation of waifu2x
simple tutorial on Machine Learning with Scikitlearn
This is a Yoga Pose Estimation App which can be able to detect the yoga pose in real time by using posenet and KNN Classifier. Here the dataset used is custom data set which consists of 3 videos for representing 3 different postures. It is deployed in heroku. One Thing to be noted i.e this will work correctly for all mobile and edge devices.
Training with FP16 weights in PyTorch
Proof of the concept implementation of smiles2vec paper
Quasi-recurrent Neural Networks for Keras
My Projects Submission to Udacity's Deep Learning Nanodegree Program
OpenLabeler is an open source desktop application for annotating objects for AI appplications
Deep Learning using Neural Network Toolbox + Finance Portfolio Selection with MorningStar
Keras functional api on DonorsChoose dataset.
This is a project on "Stock-Market-Analysis-And-Forecasting-Using-Deep-Learning" using Pytorch, python, deep learning, gru, plotly
Different deep learning architectures are implemented for time series classification and prediction purposes.
A PureScript, browser-based implementation of simple linear regression.
Predicting the ability of a borrower to pay back the loan through Traditional Machine Learning Models and comparing to Ensembling Methods
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