mahayat

llm-course

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

ML-From-Scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

fastbook

The fastai book, published as Jupyter Notebooks

Awesome-LLM

Awesome-LLM: a curated list of Large Language Model

awesome-mlops

A curated list of references for MLOps

mlops-zoomcamp

Free MLOps course from DataTalks.Club

LLMsPracticalGuide

A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)

awesome-generative-ai-guide

A one stop repository for generative AI research updates, interview resources, notebooks and much more!

approachingalmost

Approaching (Almost) Any Machine Learning Problem

hands-on-llms

🦖 𝗟𝗲𝗮𝗿𝗻 about 𝗟𝗟𝗠𝘀, 𝗟𝗟𝗠𝗢𝗽𝘀, and 𝘃𝗲𝗰𝘁𝗼𝗿 𝗗𝗕𝘀 for free by designing, training, and deploying a real-time financial advisor LLM system ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 𝘷𝘪𝘥𝘦𝘰 & 𝘳𝘦𝘢𝘥𝘪𝘯𝘨 𝘮𝘢𝘵𝘦𝘳𝘪𝘢𝘭𝘴

The-Kaggle-Book

Code Repository for The Kaggle Book, Published by Packt Publishing

MLfromscratch

Machine Learning algorithm implementations from scratch.

Large-Language-Model-Notebooks-Course

Practical course about Large Language Models.

How-to-learn-Deep-Learning

A top-down, practical guide to learn AI, Deep learning and Machine Learning.

MLSys-NYU-2022

Slides, scripts and materials for the Machine Learning in Finance Course at NYU Tandon, 2022

expressive-resume

A beautiful resume/cover letter LaTeX template pair that are extraordinarily easy to use.

MachineLearning-QandAI-book

Machine Learning Q and AI book

llms

Large Language Models: In this repository Language models are introduced covering both theoretical and practical aspects.

EEG-Transformer

i. A practical application of Transformer (ViT) on 2-D physiological signal (EEG) classification tasks. Also could be tried with EMG, EOG, ECG, etc. ii. Including the attention of spatial dimension (channel attention) and *temporal dimension*. iii. Common spatial pattern (CSP), an efficient feature enhancement method, realized with Python.

population-stability-index

Python implementation of the population stability index (PSI)

oreilly-hands-on-gpt-llm

Hands on Applications with GPT and other Large Language Models

dl_signal

Deep Learning Model for Signal Data

KL-divergence-estimators

Testing methods for estimating KL-divergence from samples.

XGBoost-From-Scratch

This repo contains a few tree based boosting algorithms implemented in python from scratch. This code relates to a medium.com article which I wrote explaining my journey to understanding how XGBoost works under the hood

Multi-GNN

Multi-GNN architectures for Anti-Money Laundering.

ndd

Bayesian entropy estimation in Python - via the Nemenman-Schafee-Bialek algorithm

eeg-transformer

Analysis of Transformer attention in EEG signal classification

AF-classification

The repo is for the Heart Disease classification project using Transformer Encoders in PyTorch.

ecg_vit

1D vision transformer (vit) for ecg interpretable classification

software_engineering_for_data_scientists