Implementing Neural Network from scratch (MLP and CNN), purely in numpy with optimizers

This is a reposatory for implementation of different types of optimizers (SGD, RMSprop, Adam etc.) with three different use cases Function Approximation, Multi-class Single-label Classification and Multi-class Multi-label Classification)

ConvNN is used to predict digits for the MNIST dataset

Testing out Schedule vs Schedule Free Optimizer

Fruit Classification dataset using ANN-CNN

This GitHub repository contains the code used for CS-671: Introduction to Deep Learning course offered by IIT Mandi during the Even Semester of 2022. The repository includes the implementations of various deep learning algorithms and techniques covered in the course.

Learn DSPy framework by coding text adventure game

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

Code to conduct experiments for the paper Modified Gauss-Newton method for solving a smooth system of nonlinear equations.

Fused 4bit AdamW in Cuda

Create animated videos for various optimizers used for training deep learning models

Effect of Optimizer Selection and Hyperparameter Tuning on Training Efficiency and LLM Performance

This is an application for showing how optimization algorithms work

Evaluating optimization algorithms in IVHD method (interactive visualization of high-dimensional data)

Python Library for creating and training CNNs. Implemented from scratch.

ML with C#

Tutorials on optimizers for deep neural networks

0th order optimizers, gradient chaining, random gradient approximation

Cardis Optimizer is a simple but complex optimizer that will have your pc running better in minutes!

Cognitive bias inspired GLVQ optimizers