GANs for time series generation in pytorch
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Updated
Sep 13, 2019 - Python
GANs for time series generation in pytorch
Deep Non-Adversarial Gesture Generation
Code for the ACL 2022 paper "Continual Sequence Generation with Adaptive Compositional Modules"
Deep Reinforcement Learning for Optical Design
A Generative Adversarial Network for Shakuhachi Music
A tool to generate image dataset for sequences of handwritten digits using MNIST database
sequence generation using RNN using pytorch
A music composer with Tensorflow using LSTM networks based on ABC notation.
Create a set of founder sequences from a set of multiple-aligned sequences.
Summarize SNV and indel information on single gene or genome level together with other relevant statistics based on .vcf files.
Character-level Language Model with stacked RNN (ONLY Numpy)
Harmony Forge is a music generation platform merging Flask and Flutter. Flask manages backend tasks like music generation, user authentication, and model oversight, while Flutter's Android app offers a user-friendly interface. Together, they empower users to create music seamlessly through machine learning models and modern design principles.
Digital Communication Techniques with MATLAB(Simulation)
Arbitrary digital pulse sequence generator with delay-loop timing
use Recurrent Neural Networks for time series prediction and text generation
This is a simulation based VHDL code developed in Xilinx to demonstrate a 4-bit PN sequence generator.
Digital Design and Computer Organisation Mini-project
Generative Adverarial Networks - Experiments
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