Eashan Adhikarla's repositories
ExpoMamba
Official implementation of "ExpoMamba: Exploiting Frequency SSM Blocks for Efficient and Effective Image Enhancement", Accepted in ICML ES-Fomo-II 2024
robkan
Kolmogorov Arnold Networks
ml-mobileclip
This repository contains the official implementation of the research paper, "MobileCLIP: Fast Image-Text Models through Multi-Modal Reinforced Training" CVPR 2024
GPT4RoI
GPT4RoI: Instruction Tuning Large Language Model on Region-of-Interest
ml-fastvit
This repository contains the official implementation of the research paper, "FastViT: A Fast Hybrid Vision Transformer using Structural Reparameterization"
Facial-Recognition-with-DNN
Working with the accuracies and flaw removal strategies with re-implementation of OpenFace/Google’s Face-Net, for improving the range of applications in the domain of Security. Resolved the false positive 2-D inputs by introducing more features in Stage 1 (face detection) as a.) Orientation Normalization b.) 3D surface representation.
Physical-Intrusion-Detection-System
A prototype model which can sense intruders entering into the building with the help of infrared sensor and simultaneously notifying the owner about the intruder by sending notification via call and capturing a snapshot.
supreme-garbanzo
KR&R
data-centric-ai
Resources for Data Centric AI
image-manipulation-detection
I developed the state-of-the-art YOLOv5x6-TTA for image manipulation detection
finnts
Microsoft Finance Time Series Forecasting Framework (FinnTS) is a forecasting package that utilizes cutting-edge time series forecasting and parallelization on the cloud to produce accurate forecasts for financial data.
congestion-control-bbrv2
Exploring the use of the BBRv2 Congestion Control Algorithm for use on DataTransfer Nodes
kibana-data-retrieval
Fetching high-level stats from the ELK stack for data transfer nodes
webcam-image-gathering
To capture images periodically through public webcams.
Robustness-Aware-Pruning-ADMM
Code release for "Adversarial Robustness vs Model Compression, or Both?"
Atomic-Commit-Protocol-2PC
This implementation is a multi-threaded Replicated Hash Table with a two phase commit - atomic commitment protocol (ACP).
Clockchain
The purpose of this assignment is to get you thinking about what it means for something to happen "before" something else. You will explore this notion through the journey of this project.
tiny-faces-pytorch
Finding Tiny Faces in PyTorch
PyTorch_CIFAR10
Pretrained TorchVision models on CIFAR10 dataset (with weights)
diffusion
Denoising Diffusion Probabilistic Models
Random-Erasing
Random Erasing Data Augmentation. Experiments on CIFAR10, CIFAR100 and Fashion-MNIST
seqGAN
Seq-GAN is a unique approach which models the data generator as a stochastic policy in reinforcement learning to solve the problem. The Reinforcement Learning reward signal comes from the GAN discriminator judged on a complete sequence, and is passed back to the intermediate state-action steps using Monte Carlo search.
DL4Sci
Deep Learning School in Lawrence Berkeley National Lab
RobustAdversarialNetwork
A pytorch re-implementation for paper "Towards Deep Learning Models Resistant to Adversarial Attacks"
Astroturfing-Review-System
This is a filtering model with machine learning algorithm to filter-out the fake reviews and hence the fake reviewers from committing review frauds. I used amazon reviews data sets to built a stochastic model on top of it.
coding-interview-university
A complete computer science study plan to become a software engineer.