Akhil Sasi Kumar's repositories
aimet
AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
examples
Deep Learning Examples
generative-inverse-heat-dissipation
Code release for the paper Generative Modeling With Inverse Heat Dissipation
keras-cv
Industry-strength Computer Vision workflows with Keras
model_optimization
Model Compression Toolkit (MCT) is an open source project for neural network model optimization under efficient, constrained hardware. This project provides researchers, developers, and engineers advanced quantization and compression tools for deploying state-of-the-art neural networks.
Object-Detection-and-Distance-Measurement
Using yolov3 & yolov4 weights objects are being detected from live video frame along with the measurement of the object from the camera without the support of any extra hardware device.
only_train_once_local
OTOv1-v3, NeurIPS, ICLR, TMLR, DNN Training, Compression, Structured Pruning, Erasing Operators, CNN, Diffusion, LLM
openvino
OpenVINO™ Toolkit repository
openvino_notebooks
📚 Jupyter notebook tutorials for OpenVINO™
stable-diffusion-dreambooth
A notebook containing code to train your own Dreambooth model using Stable Diffusion.
stncil.github.io
My Portfolio
ultralytics
Testing with depth estimation capabilities