Лэндскейп генеративных AI-моделей



📚 Языковые модели

1. GPT (Generative Pre-trained Transformer)

2. XLNet

3. T5 (Text-to-Text Transfer Transformer)

4. CTRL (Conditional Transformer Language Model)

5. BERT (Bidirectional Encoder Representations from Transformers)

6. RoBERTa (Robustly Optimized BERT Pretraining Approach)

7. ALBERT (A Lite BERT)



📈 Автоэнкодеры

8. VAE (Variational Autoencoder)

9. DeepDream

10. DeepArt

11. U-Net



📊 Генеративно-состязательные сети (GANs)

12. StyleGAN

13. BigGAN

14. CycleGAN

15. Pix2Pix

16. StarGAN

17. Progressive GAN

18. Super Resolution GAN

19. DCGAN (Deep Convolutional GAN)

20. SNGAN (Spectral Normalization GAN)

21. WGAN (Wasserstein GAN)



🎯Рекуррентные нейронные сети (RNNs)

22. LSTM (Long Short-Term Memory)

23. GRU (Gated Recurrent Unit)

24. Seq2Seq (Sequence-to-Sequence)

25. Attention Mechanism



🎲 Изображения

26. Neural Style Transfer

27. DALL-E

28. DeepDream

29. DeepArt

30. Neural Photo Editor



Речь

31. Tacotron

32. WaveNet

33. Deep Voice



💫 Музыка

34. MuseGAN

35. WaveNet

36. DeepBach

37. Amper Music



🧮 Видео

38. DeepFake

39. Vid2Vid (Video-to-Video Synthesis)

40. Recycle-GAN



📈 3D

41. GANalyze

42. 3D-GAN



📊 Интерактив и AR

43. Neural Style Transfer for AR

44. DeepAR

45. Augmented Creativity

46. GPT-3 in Interactive Fiction



💯 Другое

47. Reinforcement Learning

48. Variational Inference

49. Deep Belief Networks

50. Image-to-Image Translation



#library