[{"content":"Welcome to my personal website! This is where I\u0026rsquo;ll share thoughts on machine learning, software development, and various technical topics that interest me.\nWhat to Expect I plan to write about:\nMachine Learning \u0026amp; Deep Learning — insights from research and practical applications Technical Deep Dives — exploring how things work under the hood Stay tuned for more content!\n","permalink":"https://nps1ngh.github.io/posts/welcome/","summary":"\u003cp\u003eWelcome to my personal website! This is where I\u0026rsquo;ll share thoughts on machine learning, software development, and various technical topics that interest me.\u003c/p\u003e\n\u003ch2 id=\"what-to-expect\"\u003eWhat to Expect\u003c/h2\u003e\n\u003cp\u003eI plan to write about:\u003c/p\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMachine Learning \u0026amp; Deep Learning\u003c/strong\u003e — insights from research and practical applications\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eTechnical Deep Dives\u003c/strong\u003e — exploring how things work under the hood\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003eStay tuned for more content!\u003c/p\u003e","title":"Welcome to My Blog"},{"content":"About Me I am a Machine Learning Engineer with a passion for deep learning and building elegant software.\nSelected Projects B-cos Networks v2 — Official PyTorch implementation of improved B-cos models for inherently interpretable neural networks.\nSimple Autograd — A simple autograd implementation based on NumPy\u0026rsquo;s ndarrays with a PyTorch-like API. Includes a tiny neural network library with convolutions, optimizers, and more.\n","permalink":"https://nps1ngh.github.io/about/","summary":"\u003ch2 id=\"about-me\"\u003eAbout Me\u003c/h2\u003e\n\u003cp\u003eI am a Machine Learning Engineer with a passion for deep learning and building elegant software.\u003c/p\u003e\n\u003ch2 id=\"selected-projects\"\u003eSelected Projects\u003c/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003e\u003ca href=\"https://github.com/B-cos/B-cos-v2\"\u003eB-cos Networks v2\u003c/a\u003e\u003c/strong\u003e — Official PyTorch implementation of improved B-cos models for inherently interpretable neural networks.\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003e\u003ca href=\"https://github.com/nps1ngh/simple-autograd\"\u003eSimple Autograd\u003c/a\u003e\u003c/strong\u003e — A simple autograd implementation based on NumPy\u0026rsquo;s ndarrays with a PyTorch-like API. Includes a tiny neural network library with convolutions, optimizers, and more.\u003c/p\u003e\n\u003c/li\u003e\n\u003c/ul\u003e","title":"About"}]