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Starred repositories
A latent text-to-image diffusion model
Learn how to design, develop, deploy and iterate on production-grade ML applications.
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
💿 Free software that works great, and also happens to be open-source Python.
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
Free MLOps course from DataTalks.Club
High-Resolution Image Synthesis with Latent Diffusion Models
Draw pretty maps from OpenStreetMap data! Built with osmnx +matplotlib + shapely
🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
TensorFlow Tutorials with YouTube Videos
Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion
Using Low-rank adaptation to quickly fine-tune diffusion models.
Taming Transformers for High-Resolution Image Synthesis
YOLOv6: a single-stage object detection framework dedicated to industrial applications.
A collection of infrastructure and tools for research in neural network interpretability.
A better notebook for Scala (and more)
PyTorch implementation of AnimeGANv2
SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
A Deep Learning based project for creating line art portraits.
Open-source and strong foundation image recognition models.
Official Implementation for "Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation" (CVPR 2021) presenting the pixel2style2pixel (pSp) framework
Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) by way of Textual Inversion (https://arxiv.org/abs/2208.01618) for Stable Diffusion (https://arxiv.org/abs/2112.10752). Tweaks focuse…
Easily compute clip embeddings and build a clip retrieval system with them
A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as instance segmentation masks, depth maps, and optical flow.
Discovering Interpretable GAN Controls [NeurIPS 2020]
[CVPR 2022] Pastiche Master: Exemplar-Based High-Resolution Portrait Style Transfer
Demonstrations of Magenta Models