『ゼロから作る Deep Learning ❸』(O'Reilly Japan, 2020)
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Updated
May 27, 2024 - Python
『ゼロから作る Deep Learning ❸』(O'Reilly Japan, 2020)
This repository is the collection of research papers in Deep learning, computer vision and NLP.
Training with FP16 weights in PyTorch
Quasi-recurrent Neural Networks for Keras
Different deep learning architectures are implemented for time series classification and prediction purposes.
A PyTorch-based tool for generating realistic password lists using advanced deep learning techniques.
Multilayer Perceptron Neural network for binary classification between two type of breast cancer ("benign" and "malignant" )using Wisconsin Breast Cancer Database
The program uses HOG and LBP features to detect human in images. First, use the HOG feature only to detect humans. Next, combine the HOG feature with the LBP feature to form an augmented feature (HOG-LBP) to detect human. A Two-Layer Perceptron (feedforward neural network) will be used to classify the input feature vector into human or no-human.
Where all the state-of-the-art computer vision Algorithms meet
USC CSCI544 - Applied Natural Language Processing - Fall 2023 - Prof Mohammad Rostami
Implementation of TD Gammon algorithm by Gerald Tesauro at IBM's Thomas J. Watson Research Center in Python.
The code here can be used to train a Transformer Neural Network to perform symbol recovery at the receiver end.
Keras implementation of Deep Convolutional Generative Adversarial Networks, code run base on tensorflow or theano
A deep reinforcement learning Bot for https://kana.byha.top:444/
Using pygame to create a 2d pong game, then using gym and tensorflow to read the pixels on the screen using a CNN and then model the actions with a Qlearning RNN to beat the ai opponent
My continuing work on the Numer.ai machine learning challenge.
Synopsys Science Fair Project 2016
LSTM-MISA is an advanced stock analysis tool leveraging the power of Long Short-Term Memory (LSTM) neural networks to predict stock prices and market trends. By incorporating multiple financial indicators, this project offers a comprehensive analysis platform for traders and investors.
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