Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
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Courses | 4,018 | 7 months ago | 9 | Python | ||||||
This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI) | ||||||||||
Segan | 589 | 4 years ago | 49 | mit | Python | |||||
Speech Enhancement Generative Adversarial Network in TensorFlow | ||||||||||
Portaspeech | 211 | 2 years ago | 3 | mit | Python | |||||
PyTorch Implementation of PortaSpeech: Portable and High-Quality Generative Text-to-Speech | ||||||||||
Sparse Evolutionary Artificial Neural Networks | 187 | 3 years ago | mit | Python | ||||||
Always sparse. Never dense. But never say never. A Sparse Training repository for the Adaptive Sparse Connectivity concept and its algorithmic instantiation, i.e. Sparse Evolutionary Training, to boost Deep Learning scalability on various aspects (e.g. memory and computational time efficiency, representation and generalization power). | ||||||||||
Machinelearning Ai | 184 | 5 months ago | 3 | |||||||
This repository contains all the work that I regularly did and studied from Medium blogs, several research papers, and other Repos (related/unrelated to the research papers). | ||||||||||
Msg Net | 157 | 7 years ago | Lua | |||||||
Multi-style Generative Network for Real-time Transfer | ||||||||||
Cross Speaker Emotion Transfer | 104 | 2 years ago | 6 | mit | Python | |||||
PyTorch Implementation of ByteDance's Cross-speaker Emotion Transfer Based on Speaker Condition Layer Normalization and Semi-Supervised Training in Text-To-Speech | ||||||||||
Cs F425_deep Learning | 89 | a year ago | mit | Jupyter Notebook | ||||||
CS F425 Deep Learning course at BITS Pilani (Goa Campus) | ||||||||||
Swae Pytorch | 59 | 6 years ago | mit | Python | ||||||
Implementation of the Sliced Wasserstein Autoencoder using PyTorch | ||||||||||
Diffgan Tts | 52 | 2 years ago | mit | Python | ||||||
PyTorch Implementation of DiffGAN-TTS: High-Fidelity and Efficient Text-to-Speech with Denoising Diffusion GANs |