『ゼロから作る Deep Learning ❸』(O'Reilly Japan, 2020)
-
Updated
May 2, 2024 - Python
『ゼロから作る Deep Learning ❸』(O'Reilly Japan, 2020)
iOS Core ML implementation of waifu2x
This repository is the collection of research papers in Deep learning, computer vision and NLP.
All my experiments with AI and ML
OpenLabeler is an open source desktop application for annotating objects for AI appplications
ONNX Runtime Server: The ONNX Runtime Server is a server that provides TCP and HTTP/HTTPS REST APIs for ONNX inference.
Quasi-recurrent Neural Networks for Keras
Training with FP16 weights in PyTorch
This is a project on "Stock-Market-Analysis-And-Forecasting-Using-Deep-Learning" using Pytorch, python, deep learning, gru, plotly
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.
simple tutorial on Machine Learning with Scikitlearn
Proof of the concept implementation of smiles2vec paper
SynapseAI Core is a reference implementation of the SynapseAI API running on Habana Gaudi
Multilayer Perceptron Neural network for binary classification between two type of breast cancer ("benign" and "malignant" )using Wisconsin Breast Cancer Database
Unsupervised video summarization with deep reinforcement learning implementation .
Different deep learning architectures are implemented for time series classification and prediction purposes.
End-to-end-tests automation framework
A PureScript, browser-based implementation of simple linear regression.
My Projects Submission to Udacity's Deep Learning Nanodegree Program
Add a description, image, and links to the nueral-networks topic page so that developers can more easily learn about it.
To associate your repository with the nueral-networks topic, visit your repo's landing page and select "manage topics."