IRLS(Iterative re-weighted least square) for Logistic Regression, implemented using tensorflow2.0/pytorch
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Updated
Apr 29, 2024 - Python
IRLS(Iterative re-weighted least square) for Logistic Regression, implemented using tensorflow2.0/pytorch
Use RNN with LSTM to generate new text in TensorFlow 2
The repository contains workshop material learned during the ODSC-EAST-2019 in Boston.
Solution for the Quora Insincere Questions Classification Kaggle competition.
Regression on paired data with TensorFlow 2
Neural Network with Bidirectional Long Short-Term Memory block for Tensorflow Speech Commands dataset written as part of my MSc in Artificial Intelligence degree. Written in Tensorflow 2.0 with Keras Functional API.
Convolutional Neural Networks: (1) based on UNet; (2) FCN8 for Image Segmentation of Pascal VOC 2012 dataset written as part of my MSc in Artificial Intelligence degree. Written in Tensorflow 2.0 with Keras Functional API.
TensorFlow 2.1 Template for Machine Learning Projects
Attempt to replicate the WSAE-LSTM model defined by Bao, Yue, Rao (2017).
Medical Q&A with Deep Language Models
👤 Cutting people out automatically using Image translation's architecture Pix2Pix
A library of 3DCNN architectures with pre-trained models in TensorFlow 2.0
A computer vision project (image segmentation project) which aims to remove texts on images using Unet model. Tensorflow 2 is used as a ML library.
Neural Style Transfer in Tensorflow 2.0
Hands-On Deep Learning Algorithms with Python, By Packt
This repository contains notebooks that show the usage of TensorFlow Lite for quantizing deep neural networks.
This module discusses the current state of reinforcement learning and describes some promising approaches being taken to advance the field.
This module looks at policy based methods of reinforcement learning, principally the drawbacks to value based methods like Q learning that motivate the use of policy gradients.
This module discusses the motivation for evolutionary strategies, and breaks down the components of genetic algorithms and how they can be tailored for reinforcement learning.
👉 Tensorflow 2.x resources such as tutorial, blog, code and videos
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