Templated type-safe hashmap implementation in C using open addressing and linear probing for collision resolution.

An open addressing linear probing hash table, tuned for delete heavy workloads

Evaluate custom and HuggingFace text-to-image/zero-shot-image-classification models like CLIP, SigLIP, DFN5B, and EVA-CLIP. Metrics include Zero-shot accuracy, Linear Probe, Image retrieval, and KNN accuracy.

Official PyTorch Implementation of Guarding Barlow Twins Against Overfitting with Mixed Samples

PyTorch Implementation of Attention Prompt Tuning: Parameter-Efficient Adaptation of Pre-Trained Models for Action Recognition

(Incomplete, In Continuation) Implementation of Data Structures like Stacks, Queues, etc. using C programming language

[arXiv] "Uncovering the Hidden Cost of Model Compression" by Diganta Misra, Agam Goyal, Bharat Runwal, and Pin-Yu Chen

Exploring and interpreting pretrained deep neural networks.

Your one-stop GitHub repo for competitive coding and data structures! 🤖 Curated notes, practice problems, and real-world applications. Sharpen your skills and ace those interviews! 💻🔥

Resolves hash table collisions using linear probing, quadratic probing, and linear hashing. All data structures implemented from scratch. Optimized for efficient time and space complexity. Written in C++.

Official codebase for "Siamese Prototypical Contrastive Learning"

A framework to compute threshold sensitivity of deep networks to visual stimuli.

HashMap capable of handling any type implemented in C designed to run in the Windows Kernel.

This repository contains all the data structures and their application in Java.

simple hash table linear probing method can expand/reduce

Train a JEPA world model on a set of pre-collected trajectories from a toy environment involving an agent in two rooms.

Simple alternative to hcreate_r, hsearch_r, hdestroy_r GNU extensions

Exploration and Comparison of Transformers for Image Classification.

This is an implementation of HashMap while tackling some collision resolution techniques.

This repository provides three different solutions to hashtable collisions: Linear Probing, Quadratic Probing, and Separate Chaining and tests the performances (in terms of time) of each technique.