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.
use Recurrent Neural Networks for time series prediction and text generation
Digital Communication Techniques with MATLAB(Simulation)
Arbitrary digital pulse sequence generator with delay-loop timing
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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