hi, i am neuralnets!

here i implement research papers and deep learning concepts over time. i have solved few papers so far, and will keep track of more as i progress. links to the research papers will be attached as they are completed.

this project is my personal space where i implement concepts learned in college and build things from scratch in c. it covers various topics including random tasks like video extraction and elevator logic, as well as data structures like stacks, queues, and different types of linked lists. it's a hands-on way to apply course knowledge to real coding challenges.

an encryption library completely written in c.

this project is a lightweight autograd engine built using numpy and python, designed to mimic pytorch's functionality. it supports scalar and tensor operations, activation functions, deep learning layers, optimizers, and loss functions, with plans for future feature expansion. currently, it includes essential operations like matrix multiplication, backpropagation, convolution, and optimizers like adam and sgd, with tests available to demonstrate its functionality.

this project, is a basic c implementation of numpy-like array operations, offering multi-dimensional array support and functions for scientific computing. it includes core array manipulation features like mathematical operations, reshaping, and matrix multiplication. users can create, manipulate, and perform operations on arrays, similar to python's numpy, with support for random arrays, trigonometric functions, and linear algebra operations.

Ever feel that your dataset is too small? Use neuaug, a tool for generating augmented data for image and text processing.