Matthew Warren mattjwarren
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IBM
- UK
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Generative models for conditional audio generation
High-Resolution Image Synthesis with Latent Diffusion Models
mattjwarren / wavegan
Forked from chrisdonahue/waveganWaveGAN: Learn to synthesize raw audio with generative adversarial networks
Python sync/async client library for Jenkins API
A latent text-to-image diffusion model
mattjwarren / ce-store
Forked from ce-store/ce-storeITA Controlled English (CE)
Official PyTorch implementation of "BlendGAN: Implicitly GAN Blending for Arbitrary Stylized Face Generation" (NeurIPS 2021)
Report and source code detailing the AI Dungeon private adventure vulnerability
PyTorch implementation of neural style transfer algorithm
Stereo version of GANSynth with self-attention
Magenta: Music and Art Generation with Machine Intelligence
Python code for "Probabilistic Machine learning" book by Kevin Murphy
Pytorch Implementation of wavegan model to generate audio
This code trains a ResNet-18 model to recover the latent vector of real and synthesized audio from WaveGAN.
A reinforcement learning agent playing as the turret, where its goal is to allow ten friendly units to enter the base, and loses if an enemy unit has entered the base or if two friendly units were β¦
sketch + style = paints π¨ (TOG2018/SIGGRAPH2018ASIA)
Deep Learning Porn Video Classifier/Editor with Caffe
Distributed framework for large-scale machine learning with deep neural networks
π Client library to use the IBM Watson services in Python and available in pip as watson-developer-cloud
Python module that allows one to easily write and run Hadoop programs.