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120-data-science-interview-questions

Answers to 120 commonly asked data science interview questions.

algorithms

Minimal examples of data structures and algorithms in Python

amazon-sagemaker-examples

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

apache_spark_intro

ask-anything

[VideoChatGPT] ChatGPT with video understanding! And many more supported LMs such as miniGPT4, StableLM, and MOSS.

ask-my-pdf

Question answering system for PDF files

cci

color-extractor

Extract the dominant color(s) of your fashion articles!

colossalai

Making large AI models cheaper, faster and more accessible

content

Official content for Harvard CS109

convective_chemotaxis

convneuralnet

courses

fast.ai Courses

cracking-the-coding-interview

:books: C++ and Python solutions with automated tests for Cracking the Coding Interview 6th Edition.

ctci-6th-edition-python

Cracking the Coding Interview 6th Ed. Python Solutions

datachallenge

datastructure

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deeplearning

densepose

A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body

dl_tutorial

Tutorials for deep learning

dolly

Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform

dolly-2.0-series

Resources for running, fine-tuning, and inferencing Dolly 2.0

enron_poi_identifier

epijudge

EPI Judge - Preview Release

fc-densenet-tiramisu

The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation

fraud_detection

handson-ml

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

harvardcs109

hh-rlhf

Human preference data for "Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback"