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Armin Moharamkhani's Projects

benchmark_vae icon benchmark_vae

Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

deep-reinforcement-stock-trading icon deep-reinforcement-stock-trading

A light-weight deep reinforcement learning framework for portfolio management. This project explores the possibility of applying deep reinforcement learning algorithms to stock trading in a highly modular and scalable framework.

deep_trader icon deep_trader

This project uses reinforcement learning on stock market and agent tries to learn trading. The goal is to check if the agent can learn to read tape. The project is dedicated to hero in life great Jesse Livermore.

deeppicar icon deeppicar

Deep Learning Autonomous Car based on Raspberry Pi, SunFounder PiCar-V Kit, TensorFlow, and Google's EdgeTPU Co-Processor

dqn-trading icon dqn-trading

A Deep Reinforcement Learning Framework for Stock Market Trading

ltsf-linear icon ltsf-linear

[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"

metapattern_fas icon metapattern_fas

The code repo for the paper Learning Meta Pattern for Face Anti-Spoofing, IEEE TIFS 2022

pytorch-vae icon pytorch-vae

A Collection of Variational Autoencoders (VAE) in PyTorch.

q-trader icon q-trader

Deep Q-learning driven stock trader bot

qgcn icon qgcn

Learning a Single Model With a Wide Range of Quality Factors for JPEG Image Artifacts Removal (TIP 2020)

rnn-notebooks icon rnn-notebooks

RNN(SimpleRNN, LSTM, GRU) Tensorflow2.0 & Keras Notebooks (Workshop materials)

speech-recognition-neural-network icon speech-recognition-neural-network

This is the end-to-end Speech Recognition neural network, deployed in Keras. This was my final project for Artificial Intelligence Nanodegree @Udacity.

speech-transformer icon speech-transformer

Transformer implementation speciaized in speech recognition tasks using Pytorch.

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