Amithash K J's repositories
Pytorch_DeepLearning_Experiments
Experimenting with the concepts present in the book "Programming Pytorch for Deep Learning" by Ian Pointer, the notebooks in this repository use the FashionMNIST dataset to create deep learning networks in Pytorch
Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
kjamithash.github.io
Personal website and Blog
llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
LLMs-from-scratch
Implementing a ChatGPT-like LLM from scratch, step by step
stanford-cs-221-artificial-intelligence
VIP cheatsheets for Stanford's CS 221 Artificial Intelligence
stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
stanford-cs-230-deep-learning
VIP cheatsheets for Stanford's CS 230 Deep Learning