Bibhabasu Mohapatra's repositories
Vision_Transformer_from_scratch
Inspired from previous repository, LikeTorch (from scratch numpy library) this with ViT for learning and undertanding purposes
HuBMAP-HPA-Hacking-the-Human-Body
When you think of “life hacks,” normally you’d imagine productivity techniques. But how about the kind that helps you understand your body at a molecular level? It may be possible! Researchers must first determine the function and relationships among the 37 trillion cells that make up the human body. A better understanding of our cellular composition could help people live healthier, longer lives.
bibhabasumohapatra.github.io
website
medical-datasets
tracking medical datasets, with a focus on medical imaging
segmentation_models.pytorch
Segmentation models with pretrained backbones. PyTorch.
ultralytics
NEW - YOLOv8 🚀 in PyTorch > ONNX > CoreML > TFLite
Awesome-Lightning
Collection of Integrations and Examples for Lightning AI
Awesome-Segmenation-With-Transformer
Transformer-Based Visual Segmentation: A Survey
bayesian-torch
A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch
diffusers
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch
HIPT
Hierarchical Image Pyramid Transformer - CVPR 2022 (Oral)
learning_nothing
maybe learning webdev or maybe prompting idk
main-pytorch
This is the main branch which contains the scripts writtern in pytorch. The sub-branches will be classification, object detection, segmentation and others.
meta-vsc-descriptor-runtime
Containerized runtime for the Descriptor Track of the Meta Video Similarity Competition
pytorch-image-models
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNet-V3/V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
TorchDetection
A PyTorch DIY alternate for end-to-end object detection
vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch