A dependency parsing model using neural networks in tensorflow
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Updated
Feb 27, 2023 - Python
A dependency parsing model using neural networks in tensorflow
Deep Q Network implemented by TensorFlow2.0(Keras).
Using Google Colab to carry out very fast distributed training on a TPU cluster
Using machine learning to identify and replicate the pattern correlation shown in input/output.
Tensorflow2 implementation of SqueezeNet.
An android application which recognize the given field of a crop and also detects the disease of a crops.
Programs and other files for NPTEL course Practical Machine Learning with TensorFlow 2.0
Building an Artificial Neural Network (ANN) in TensorFlow 2.0 for fashion MNIST dataset
Fraunhofer IPA project to evaluate active learning pipeline using synthetic data
A wrapper library over several open source cnn models for tensorflow -2.x.
AI project to learn Snake using Reinforcement Learning
Repository for machine learning projects and notes
A simple code to classify MNIST using Tensorflow
This is a binary classification notebook for COVID-19 detection based on combined dataset of Thorax Scan.
A text punctuation implementation in keras
Codes and write-up for Red Dragon AI Advanced Computer Vision course.
Small, light-weight wrapper to ease process of tf2 training with complete flexibility.
The following repo holds my code, exercises, jupyter notebooks, and notes for the Hands-On ML book.
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