DeepLearningExamples
NVIDIA
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
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1–16 / 45
Candidates in this shortlist, not the full registry. GitHub stars belong to repositories, not individual skills.
Results: 45
NVIDIA
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
alphacep
Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
junyanz
Image-to-Image Translation in PyTorch
junyanz
Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
phillipi
Image-to-image translation with conditional adversarial nets
open-mmlab
OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion mod…
mravanelli
pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label…
pannous
🎙Speech recognition using the tensorflow deep learning framework, sequence-to-sequence neural networks
syhw
Attempt at tracking states of the arts and recent results (bibliography) on speech recognition.
harskish
Discovering Interpretable GAN Controls [NeurIPS 2020]
MiteshPuthran
The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)
babysor
🚀Clone a voice in 5 seconds to generate arbitrary speech in real-time
huggingface
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.