esinyavuz

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

stable-diffusion

A latent text-to-image diffusion model

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

curl

A command line tool and library for transferring data with URL syntax, supporting DICT, FILE, FTP, FTPS, GOPHER, GOPHERS, HTTP, HTTPS, IMAP, IMAPS, LDAP, LDAPS, MQTT, POP3, POP3S, RTMP, RTMPS, RTSP, SCP, SFTP, SMB, SMBS, SMTP, SMTPS, TELNET, TFTP, WS and WSS. libcurl offers a myriad of powerful features

ultralytics

Ultralytics YOLO11 🚀

diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.

celery

Distributed Task Queue (development branch)

pytorch-CycleGAN-and-pix2pix

Image-to-Image Translation in PyTorch

minGPT

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

Pillow

Python Imaging Library (Fork)

web-development-resources

Awesome Web Development Resources.

tensorpack

A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility

pointnet

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

awesome-point-cloud-analysis

A list of papers and datasets about point cloud analysis (processing)

web-stable-diffusion

Bringing stable diffusion models to web browsers. Everything runs inside the browser with no server support.

stargan-v2

StarGAN v2 - Official PyTorch Implementation (CVPR 2020)

PyTorch-StudioGAN

StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.

torchio

Medical imaging toolkit for deep learning

pixel-cnn

Code for the paper "PixelCNN++: A PixelCNN Implementation with Discretized Logistic Mixture Likelihood and Other Modifications"

my_notes

My small cheatsheets for data science, ML, computer science and more.

FALdetector

Code for the paper: Detecting Photoshopped Faces by Scripting Photoshop

CNNDetection

Code for the paper: CNN-generated images are surprisingly easy to spot... for now https://peterwang512.github.io/CNNDetection/

texture-vs-shape

Pre-trained models, data, code & materials from the paper "ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness" (ICLR 2019 Oral)

Deep-learning-in-cloud

List of Deep Learning Cloud Providers

denoising-diffusion-gan

Tackling the Generative Learning Trilemma with Denoising Diffusion GANs https://arxiv.org/abs/2112.07804

simulacra-aesthetic-captions

Dataset of prompts, synthetic AI generated images, and aesthetic ratings.

model-vs-human

Benchmark your model on out-of-distribution datasets with carefully collected human comparison data (NeurIPS 2021 Oral)

laion-datasets

Description and pointers of laion datasets

simulacra-aesthetic-models