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500-ai-machine-learning-deep-learning-computer-vision-nlp-projects-with-code

500 AI Machine learning Deep learning Computer vision NLP Projects with code

abtest-mlops

A project to test if the ads that the advertising company runs resulted in a significant lift in brand awareness.

ad-campaign-performance

This repository contains code that performs A/B hypothesis testing

ad_optimisation

algorand-sandbox

Algorand node sandbox

awesome-gcp-certifications

Google Cloud Platform Certification resources.

awesome-profile-readme-templates

A collection of awesome readme templates to display on your profile

backtrader-for-backtesting

These are the code snippets used in the Backtrader for backtesting guide on the AlgoTrading101 website

causalml

Uplift modeling and causal inference with machine learning algorithms

cd4ml-scenarios

Repository with sample code and instructions for "Continuous Intelligence" and "Continuous Delivery for Machine Learning: CD4ML" workshops

cml

♾️ CML - Continuous Machine Learning | CI/CD for ML

cmp

code-clippy-vscode

VSCode extension for code suggestion

cohere-ai-notebooks-tutorial

Code examples and jupyter notebooks for the Cohere Platform

cs-videos

List of Computer Science courses with video lectures.

cuda-samples

Samples for CUDA Developers which demonstrates features in CUDA Toolkit

dagster

An orchestration platform for the development, production, and observation of data assets.

dash-by-plotly

Interactive data analytics

data-engineering-zoomcamp

data-warehouse

ELT pipeline to store a vehicle trajectory data using Airflow, DBT, PostgerSQL and Redash.

dataengineeringproject

Example end to end data engineering project.

de-cookbook

The Data Engineering Cookbook

deep-learning-for-hackers

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

demo

flair

A very simple framework for state-of-the-art Natural Language Processing (NLP)

gcp-data-engineer-study-guide

GCP-Data-Engineer-Study-Guide

gokada-delivery-optimisation-with-causal-inference

gpt-j-api

API for the GPT-J language model 🦜. Including a FastAPI backend and a streamlit frontend

gpt-neo

An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library.