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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Results: 335
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.
FoundationVision
[NeurIPS 2024 Best Paper Award][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation…
mozilla
:robot: :speech_balloon: Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)
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…
shivammehta25
[ICASSP 2024] 🍵 Matcha-TTS: A fast TTS architecture with conditional flow matching
kan-bayashi
Unofficial Parallel WaveGAN (+ MelGAN & Multi-band MelGAN & HiFi-GAN & StyleMelGAN) with Pytorch
MiteshPuthran
The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)
RVC-Boss
1 min voice data can also be used to train a good TTS model! (few shot voice cloning)
m-bain
WhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization)
babysor
🚀Clone a voice in 5 seconds to generate arbitrary speech in real-time
flashlight
Facebook AI Research's Automatic Speech Recognition Toolkit
unslothai
Unsloth Studio is a web UI for training and running open models like Gemma 4, Qwen3.6, DeepSeek, gpt-oss locally.
FunAudioLLM
Multilingual speech understanding: ASR + emotion recognition + audio event detection. 50+ languages, 15x faster than Whisper, non-autoregressive.
huggingface
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.