bshantam97
Robotics Graduate from the University of Maryland , College Park. My interest's lie towards Sensor Fusion and Computer Vision.
San Francisco Bay Area
bshantam97's Stars
roboflow/notebooks
Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM.
ahmedbahaaeldin/From-0-to-Research-Scientist-resources-guide
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
Algo-Phantoms/Algo-Tree
Algo-Tree is a collection of Algorithms and data structures which are fundamentals to efficient code and good software design. Creating and designing excellent algorithms is required for being an exemplary programmer. It contains solutions in various languages such as C++, Python and Java.
codecrafters-io/build-your-own-x
Master programming by recreating your favorite technologies from scratch.
bshantam97/awesome-holistic-3d
A list of papers and resources (data,code,etc) for holistic 3D reconstruction in computer vision
bshantam97/awesome_3DReconstruction_list
A curated list of papers & resources linked to 3D reconstruction from images.
bshantam97/vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
huggingface/pytorch-image-models
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
ruotianluo/pytorch-faster-rcnn
pytorch1.0 updated. Support cpu test and demo. (Use detectron2, it's a masterpiece)
aladdinpersson/Machine-Learning-Collection
A resource for learning about Machine learning & Deep Learning