Mohammed Innat's repositories
ML-Resource
A concise resource repository for machine learning
HybridModel-GradCAM
A Keras implementation of hybrid efficientnet swin transformer model.
DOLG-TensorFlow
Implementation of Deep Orthogonal Fusion of Local and Global Features in TensorFlow 2
UniFormerV2
[ICCV2023] UniFormerV2: Spatiotemporal Learning by Arming Image ViTs with Video UniFormer
mae-spatiotemporal
Unofficial keras implementation of masked autoencoders as spatiotemporal learners
Video-FocalNets
Keras Implementation of Video-FocalNets
accelerate
🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision
Depth-Anything
Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
IDM-VTON
IDM-VTON : Improving Diffusion Models for Authentic Virtual Try-on in the Wild
keras-image-models
A library that includes Keras3 layers, blocks and models with pretrained weights, providing support for transfer learning, feature extraction, and more.
null-text-inversion-colab
Colab implementation of Google's null-text inversion.
ptp-tensorflow
TensorFlow implementation of the "Prompt-to-Prompt Image Editing with Cross Attention Control" for Stable Diffusion
stable-diffusion-tensorflow
Stable Diffusion in TensorFlow / Keras
starting-kit
Starting kit for the NeurIPS 2023 unlearning challenge
Swin-UNETR-Keras
Unofficial keras implementation of UNet Swin Transformers
uncertainty-baselines
High-quality implementations of standard and SOTA methods on a variety of tasks.
Video-Swin-Transformer
This is an official implementation for "Video Swin Transformers".
VideoMAE-1
[NeurIPS 2022 Spotlight] VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training
VITON-HD
Official PyTorch implementation of "VITON-HD: High-Resolution Virtual Try-On via Misalignment-Aware Normalization" (CVPR 2021)