KshitijAggarwal
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Learn how to design, develop, deploy and iterate on production-grade ML applications.
Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step
A game theoretic approach to explain the output of any machine learning model.
Companion webpage to the book "Mathematics For Machine Learning"
llama3 implementation one matrix multiplication at a time
This repository contains demos I made with the Transformers library by HuggingFace.
Automatic extraction of relevant features from time series:
Lab Materials for MIT 6.S191: Introduction to Deep Learning
The "Python Machine Learning (2nd edition)" book code repository and info resource
Python code for "Probabilistic Machine learning" book by Kevin Murphy
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
Book about interpretable machine learning
SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
An easy to use blogging platform, with enhanced support for Jupyter Notebooks.
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
A python library for decision tree visualization and model interpretation.
Learn how to design, develop, deploy and iterate on production-grade ML applications.
A deep-dive on the entire history of deep-learning
Contains my explorations of TensorFlow 2.x
Recipes for shrinking, optimizing, customizing cutting edge vision models. 💜
Design your own matplotlib stylefile interactively
Fully fine-tune large models like Mistral, Llama-2-13B, or Qwen-14B completely for free
Lightweight non-uniform Fast Fourier Transform in Python
Automagically remove trends from time-series data
Fundamentals of Radio Interferometry and Aperture Synthesis Book
