nlp-tutorial
stable_diffusion_arc
nlp-tutorial | stable_diffusion_arc | |
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1 | 4 | |
13,712 | 63 | |
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0.0 | 7.8 | |
2 months ago | about 2 months ago | |
Jupyter Notebook | Jupyter Notebook | |
MIT License | BSD 2-clause "Simplified" License |
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nlp-tutorial
stable_diffusion_arc
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Intel arc gpu price drop - inexpensive llama.cpp opencl inference accelerator?
Stable diffusion on Arc 770 - https://github.com/rahulunair/stable_diffusion_arc
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Is the A770 (intel's gpu) capable of running stable diffusion with automatic1111?
Is it capable? Yes
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[GPU] Intel Arc A770 16GB GDDR6 PCI Express 4.0 x16 Video Card + Call of Duty: Modern Warfare II bundle - $349.99
There are Intel extensions for sklearn, pytorch, and tensorflow. Someone got Stable Diffusion running on this GPU too, I'd love to see how it performs GitHub
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Does AUTOMATIC1111's Stable Diffusion dist work with Intel Arc GPU?
Greetings stable diffusion community! I have a question and you may have my answers. I'm looking for any user that is either using OR is willing to try and run AUTOMATIC1111's Stable-Diffusion-gui combined with intel's Arc A770 16gb model card. I'm looking to add a second GPU to my rig and want it to be something relatively fast and have a high vram capacity. This card fits the bill and there is a github repo about having it run on a linux machine. Unfortunately I am a windows user and not very experienced in coding so I can't confirm it will work. I'd like to refrain from purchasing the card until I know for certain it will work on my OS and with the SD version.
What are some alternatives?
nlp_course - YSDA course in Natural Language Processing
RealScaler - RealScaler - image/video AI upscaler app (Real-ESRGAN)
pytorch-sentiment-analysis - Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
llama2.openvino - This sample shows how to implement a llama-based model with OpenVINO runtime
awesome-nlp - :book: A curated list of resources dedicated to Natural Language Processing (NLP)
stable-diffusion-webui - Stable Diffusion web UI
nlp-recipes - Natural Language Processing Best Practices & Examples
pyprobml - Python code for "Probabilistic Machine learning" book by Kevin Murphy
transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
tiny_llm_finetuner - LLM finetuning on Intel XPUs - LoRA on intel discrete GPUs
tf-transformers - State of the art faster Transformer with Tensorflow 2.0 ( NLP, Computer Vision, Audio ).
DeepLearningExamples - State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.