DeepCreamPy
text-to-text-transfer-transformer
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DeepCreamPy | text-to-text-transfer-transformer | |
---|---|---|
19 | 29 | |
10,828 | 5,889 | |
- | 2.1% | |
0.4 | 5.0 | |
about 3 years ago | 3 months ago | |
Python | Python | |
GNU Affero General Public License v3.0 | Apache License 2.0 |
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DeepCreamPy
- Can we start a discussion on all the inconvenient shit (intended or not) that we have to deal with when we play this game?
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[R] What would you do with access to an 900 core shared memory machine with 6TB of memory?
Run this
- Why can't we see it?
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People spawned on earth with literally just rocks and sticks and we made Bluetooth out of that.. wack
If you count redrawing it's already been done.
- 27 February 2021- Weekend Chat Thread
- You Can Uncensor Any Censored Material, No Matter What It Is
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deeppomf/DeepCreamPy
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This will definitely make hentai more enjoyable than it already was
There's already https://github.com/deeppomf/DeepCreamPy for uncensoring hentai, yet no commits for a while now.
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Maybe it just creates random faces out of everything that has pixels in it
Something similar for hentai already exists: https://github.com/deeppomf/DeepCreamPy
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Gorgeous feet
You can decensor hentai with artificial intelligence DeepCreamPy
text-to-text-transfer-transformer
- T5: Text-to-Text-Transfer-Transformer
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Gemma: New Open Models
Google released the T5 paper about 5 years ago:
https://arxiv.org/abs/1910.10683
This included full model weights along with a detailed description of the dataset, training process, and ablations that led them to that architecture. T5 was state-of-the-art on many benchmarks when it was released, but it was of course quickly eclipsed by GPT-3.
Following GPT-3, it became much more common for labs to not release full details or model weights. Prior to that, it was common practice from Google (BERT, T5), Meta (BART), OpenAI (GPT1, GPT2) and others to release full training details and model weights.
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[P] Free and Fast LLM Finetuning
[2] - https://arxiv.org/abs/1910.10683
- Free and Fast LLM Finetuning
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[Discussion] Is there a better way than positional encodings in self attention?
T5-style relative encodings https://arxiv.org/abs/1910.10683
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What were the 40 research papers on the list Ilya Sutskever gave John Carmack?
11. T5: Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer" (2020) - https://arxiv.org/abs/1910.10683 (Google Research)
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[P] T5 Implementation in PyTorch
You can find a link to the paper here: https://arxiv.org/abs/1910.10683
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Text-to-Text Transformer (T5-Base Model) Testing For Summarization, Sentiment Classification, and Translation Using Pytorch and Torchtext
The Text-to-Text Transformer is a type of neural network architecture that is particularly well-suited for natural language processing tasks involving the generation of text. It was introduced in the paper "Attention is All You Need" by Vaswani et al. and has since become a popular choice for many NLP tasks, including language translation, summarization, and text generation
- AlphaCode by DeepMind
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[R] LiBai: a large-scale open-source model training toolbox
Found relevant code at https://github.com/google-research/text-to-text-transfer-transformer + all code implementations here
What are some alternatives?
hent-AI - Automation of censor bar detection
fairseq - Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
image-super-resolution - 🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
tortoise-tts - A multi-voice TTS system trained with an emphasis on quality
Enma - Enma is a Python library designed to fetch and download manga and doujinshi data from many sources including Manganato and NHentai.
dalle-mini - DALL·E Mini - Generate images from a text prompt
Spectrum - Spectrum is an AI that uses machine learning to generate Rap song lyrics
latent-diffusion - High-Resolution Image Synthesis with Latent Diffusion Models
kurby - A modern CLI to download animes automatically from Twist
majesty-diffusion - Majesty Diffusion by @Dango233(@Dango233max) and @apolinario (@multimodalart)
co-mod-gan - [ICLR 2021, Spotlight] Large Scale Image Completion via Co-Modulated Generative Adversarial Networks
nlu - 1 line for thousands of State of The Art NLP models in hundreds of languages The fastest and most accurate way to solve text problems.