A multi-backend implementation of the Keras API, with support for TensorFlow, JAX, and PyTorch.

TensorFlow GPU & TPU compatible operations: MelSpectrogram, TimeFreqMask, CutMix, MixUp, ZScore, and more

Drop in replacement for OpenAI, but with Open models.

Restorers provide out-of-the-box TensorFlow implementations of SoTA image and video restoration models for tasks such as low-light enhancement, denoising, deblurring, super-resolution, etc.

Keras beit,caformer,CMT,CoAtNet,convnext,davit,dino,efficientdet,edgenext,efficientformer,efficientnet,eva,fasternet,fastervit,fastvit,flexivit,gcvit,ghostnet,gpvit,hornet,hiera,iformer,inceptionne…

A playbook for systematically maximizing the performance of deep learning models.

A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

showing various ways to serve Keras based stable diffusion

Point cloud diffusion for 3D model synthesis

The implementation of DeBERTa

Pretrained model hub for Keras 3

MLOps for Vision Models (TensorFlow) from 🤗 Transformers with TensorFlow Extended (TFX)

Industry-strength Computer Vision workflows with Keras

Deep Learning for humans

COCO API - Dataset @ http://cocodataset.org/

Stable Diffusion in TensorFlow / Keras

tfyolo: Efficient Implementation of Yolov5 in TensorFlow

implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

[ICLR 2023]DEIS: Fast Sampling of Diffusion Models with Exponential Integrator

A latent text-to-image diffusion model

All about the fundamentals and working of Diffusion Models

Deep learning based video sensing method for low-power IoT cameras (Smart glasses, GoPro, Blink etc.).

TensorFlow-based implementation of "PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume".

Probabilistic language based on pattern matching and constraint propagation, 153 examples

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Set of models for segmentation of 3D volumes

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.