Stars
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
Karras et al. (2022) diffusion models for PyTorch
Implementation of the Adan (ADAptive Nesterov momentum algorithm) Optimizer in Pytorch
Implementation of CoCa, Contrastive Captioners are Image-Text Foundation Models, in Pytorch
An implementation of Performer, a linear attention-based transformer, in Pytorch
Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
Ranger deep learning optimizer rewrite to use newest components
A fast and simple perlin noise generator using numpy
Implementation of Perceiver, General Perception with Iterative Attention, in Pytorch
A pytorch port of google-research/google-research/robust_loss/
A collection of loss functions for medical image segmentation
📷 Reactive python package for managing, creating and visualizing different deep-learning image annotation formats
Repository for NeurIPS 2020 Spotlight "AdaBelief Optimizer: Adapting stepsizes by the belief in observed gradients"
python file reader/writer for Siemens MRI raw data + compression utility
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
Label Studio is a multi-type data labeling and annotation tool with standardized output format
Binary and multiclass image segmentation loss functions implemented in Keras
This repo contains the code for our paper "A novel focal Tversky loss function and improved Attention U-Net for lesion segmentation" accepted at IEEE ISBI 2019.
A isometric city builder in JavaScript
A Hyperparameter Tuning Library for Keras