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Finally scratched an old itch — AI sticker packs from your photos. Works with Telegram/WhatsApp. 👉 apps.apple.com/us/app/stckzy-…
I created gpt-scraper to automate data extraction from sites with unique structures — just describe what data you need, and the AI-powered library writes the scraper code for you. With the new o1-mini model, it’s faster and more accurate than ever! github.com/bes-dev/gpt-sc…
My first contribution to open-source protein design: a new way to combine ProteinMPNN and AlphaFold for designing sequences for a given structure colab.research.google.com/github/sokrypt… More context and info below 👇
The new version of our engine for Stable Diffusion optimized to CPU is ready. Now it supports Image-To-Image and Inpainting too. Also, we release the initial version of pretty GUI. Join to the future of media art here: github.com/bes-dev/stable…… #art #deeplearning
We published our early results to run state-of-the-art Text-To-Image models on consumer CPU. You can found project here: github.com/bes-dev/stable… #syntheticmedai #stablediffusion #ai #openvino
I uploaded a simple sample using MobileStyleGAN on iOS to GitHub. github.com/john-rocky/Cor… The Converted CoreML model have been uploaded to CoreML-Models. github.com/john-rocky/Cor…
Our new library for text-driven bounding box analysis was published. Also we provide examples to integrate it with popular object detector like YOLOV5 and MaskRCNN. github.com/bes-dev/pytorc… #OpenSource #Python #DeepLearning
Our new tiny zero-shot text-driven object detector named ClipRCNN was released: github.com/bes-dev/pytorc… #opensource #deeplearning #computervision
Our new library to make CLIP guided loss for Text-To-Image generation was published on github: github.com/bes-dev/pytorc… #opensource #python #deeplearning
Our new library to make differentiable Haar Wavelets Transform was published on github: github.com/bes-dev/haar_p… #OpenSource #Python #DeepLearning #PyTorch
Just a one-weekend project 🤗 We propose a new architecture of theDecoder network (based on VQVAE's decoder) for DALL-E that allows to generate images 512x512 instead of 256x256 as in baseline DALL-E model: github.com/bes-dev/vqvae_… #deeplearning #dalle #gans #opensource
The new version of our library for fast image generation of people who do not exist was released. x2 Better quality of generated images is here (= python library: github.com/bes-dev/random… training tool: github.com/bes-dev/Mobile… demo video: youtube.com/watch?v=Rewpnz…
Now, high-resolution style-based generative models run on mobile devices! On-device demo of our MobileStyleGAN is here: youtube.com/watch?v=CBebSI… Follow the project: github.com/bes-dev/Mobile…
Today, my new article was published: MobileStyleGAN: A Lightweight Convolutional Neural Network for High-Fidelity Image Synthesis Paper: arxiv.org/abs/2104.04767 Code: github.com/bes-dev/Mobile… Python library: github.com/bes-dev/random… Sample videos: youtube.com/playlist?list=…
The near future of live #MMA (and sports) broadcasting is with #ComputerVision and #AI #UFC #DanaWhite
Some time ago, for internal use in my projects, I created a simple library for the evaluation of mAP for Object Detection algorithms that can be easily integrated into different pipelines. And now I published it on github. Enjoy using! github.com/bes-dev/mean_a…
My colleagues released Intel's public online server for CVAT: cvat.org. This server provides an online labeling tool for your computer vision datasets. We hope that it will be helpful in your great projects.
1. We, as a team, would like to apologize to @myPetFinder @kaggle and the DS community for all the wrongdoings. I would also like to apologize to @h2oai and all the Kaggle competitors for putting their reputation at risk.
OpenVINO neural networks compression framework was release (PyTorch based). Key features: 1) Trainable quantization for weights/activations 2) Sparsification based on magnitude or L0 regularization 3) Static graph parsing for Pytorch. github: github.com/opencv/openvin…
After years in academia, @Kaggle Grandmaster @viglovikov transitioned to the industry where the impact of the #selfdriving challenge caught his attention. Hear in his own words how he went from publishing papers to developing self-driving cars: bit.ly/2YgRAaz
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