Niranjan Bekoju's Projects
Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning
Easy & Modular Computer Vision Detectors and Trackers - Run YOLOv7,v6,v5,R,X in under 20 lines of code.
A topic-centric list of HQ open datasets.
Easy-to-use finetuned YOLOv8 models.
Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).
Updating.....
LLM-PowerHouse: Unleash LLMs' potential through curated tutorials, best practices, and ready-to-use code for custom training and inferencing.
Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)
βPython for Academic Researchβ is a program launched by NRCC to provide short training in the python programming language. This course will teach students to use python in research and implement such learnings in their practical classes. Mr. Kshitiz Regmi will teach the course.
Table Transformer (TATR) is a deep learning model for extracting tables from unstructured documents (PDFs and images). This is also the official repository for the PubTables-1M dataset and GriTS evaluation metric.
YOLOv5 π in PyTorch > ONNX > CoreML > TFLite
YOLOv7 Object Tracking Using PyTorch, OpenCV and Sort Tracking