Pinned Repositories
DIP-In-Python
Play around with Pixel in Python
DOLG-TensorFlow
Implementation of Deep Orthogonal Fusion of Local and Global Features in TensorFlow 2
HybridModel-GradCAM
A Keras implementation of hybrid efficientnet swin transformer model.
ML-Resource
A concise resource repository for machine learning
Py4-DS
:snake: Data Science Boot-Camp : UC San DiegoX
Raspberry-Pi-WebSocket
Control Raspberry Pi GPIOs with WebSockets
UniFormerV2
[ICCV2023] UniFormerV2: Spatiotemporal Learning by Arming Image ViTs with Video UniFormer
VideoMAE
[NeurIPS'22] VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training
VideoSwin
Keras 3 Implementation of Video Swin Transformers for 3D Video Modeling
innat's Repositories
innat/ML-Resource
A concise resource repository for machine learning
innat/HybridModel-GradCAM
A Keras implementation of hybrid efficientnet swin transformer model.
innat/VideoSwin
Keras 3 Implementation of Video Swin Transformers for 3D Video Modeling
innat/DOLG-TensorFlow
Implementation of Deep Orthogonal Fusion of Local and Global Features in TensorFlow 2
innat/VideoMAE
[NeurIPS'22] VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training
innat/Py4-DS
:snake: Data Science Boot-Camp : UC San DiegoX
innat/kaggle
:seedling: Playing in Kaggle Playground
innat/UniFormerV2
[ICCV2023] UniFormerV2: Spatiotemporal Learning by Arming Image ViTs with Video UniFormer
innat/mae-spatiotemporal
Unofficial keras implementation of masked autoencoders as spatiotemporal learners
innat/STEGO
Unsupervised Semantic Segmentation by Distilling Feature Correspondences
innat/Swin-UNETR
Keras 3 Implementation of Swin UNEt TRansformers for the 3D semantic segmentation.
innat/Video-FocalNets
Keras Implementation of Video-FocalNets
innat/accelerate
🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision
innat/Animator
innat/automl
Google Brain AutoML
innat/Depth-Anything
Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
innat/IDM-VTON
IDM-VTON : Improving Diffusion Models for Authentic Virtual Try-on in the Wild
innat/innat
innat/keras-cv
Industry-strength Computer Vision workflows with Keras
innat/keras-image-models
A library that includes Keras3 layers, blocks and models with pretrained weights, providing support for transfer learning, feature extraction, and more.
innat/mae_st
Official Open Source code for "Masked Autoencoders As Spatiotemporal Learners"
innat/minSDXLTF
Stable Diffusion XL Inference With PyTorch Weights And More Features Like Stable Diffusion Web UI In Keras 3.x
innat/null-text-inversion-colab
Colab implementation of Google's null-text inversion.
innat/ptp-tensorflow
TensorFlow implementation of the "Prompt-to-Prompt Image Editing with Cross Attention Control" for Stable Diffusion
innat/StagedVision
innat/starting-kit
Starting kit for the NeurIPS 2023 unlearning challenge
innat/uncertainty-baselines
High-quality implementations of standard and SOTA methods on a variety of tasks.
innat/Video-Swin-Transformer
This is an official implementation for "Video Swin Transformers".
innat/VideoMAE-1
[NeurIPS 2022 Spotlight] VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training
innat/VITON-HD
Official PyTorch implementation of "VITON-HD: High-Resolution Virtual Try-On via Misalignment-Aware Normalization" (CVPR 2021)