A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

AI Observability & Evaluation

Minimal, clean code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.

Evaluation and Tracking for LLM Experiments

Retrieval Augmented Generation (RAG) chatbot powered by Weaviate

streamlit-shap provides a wrapper to display SHAP plots in Streamlit.

A collection of full time roles in SWE, Quant, and PM for new grads.

Reference implementation of the Transformer architecture optimized for Apple Neural Engine (ANE)

This repo contains the syllabus of the Hugging Face Deep Reinforcement Learning Course.

A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

Approaching (Almost) Any Machine Learning Problem

A middle-to-high level open source algorithm book designed with coding interview at heart!

Code Examples used by the Quickstarts in the Cognitive Services Documentation

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

Canny Edge Detection, Eigen Faces Face Recognition Algorithm, Applying Sobel Filter, Hough Lines, Harris Corner Detection as a Feature, Image Manipulation

Canny Edge Detector has been implemented without using any image processing library such as openCV

Distributed LMS for automating Computing Science Courses From NYU

Preparation links and resources for system design questions

Complete deep learning project developed in Full Stack Deep Learning, Spring 2021

Lab materials for the Full Stack Deep Learning Course

This repository includes all the interview preparation questions for Amazon SDE role

Cracking the Coding Interview 6th Ed. Solutions

A Small Proof of concepts to illustrate Active learning in Text classification usecases

Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.

Video discussing this curriculum:

Extended state-space SIR epidemiological models

Build An Alexa Fact Skill

Backstage is an open framework for building developer portals