Clear explanations and simple implementations of Deep reinforcement learning Algorithms
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Updated
Mar 10, 2019 - Jupyter Notebook
Clear explanations and simple implementations of Deep reinforcement learning Algorithms
A dependency parsing model using neural networks in tensorflow
Deep Q Network implemented by TensorFlow2.0(Keras).
Using machine learning to identify and replicate the pattern correlation shown in input/output.
Tensorflow2 implementation of SqueezeNet.
Multi-task deep learning model for clothes classification
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
OpenAI GPT2 pre-training implementation in Tensorflow 2
Recognizing hindi letters written by tracing your hand in the air
Application of CNN to auto colour black and white nature image.
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
🐛 Perhaps the BEST crawler in the educational administration system of WHU. Using Tensorflow to recognize captcha.
This is a binary classification notebook for COVID-19 detection based on combined dataset of Thorax Scan.
Chatbot for Twitter Customer Support. A Seq2seq Neural Network with Multiplicative Attention mechanism implemented in TensorFlow 2.
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