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Machine Learning repositories

3mtt_proficiency_tool_aiml

The proficiency evaluation tool for the largest tech talent accelerator in the world

amazon-sagemaker-examples

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

awesome-diffusion-model-in-rl

A curated list of Diffusion Model in RL resources (continually updated)

awesome-open-data-centric-ai

Curated list of open source tooling for data-centric AI on unstructured data.

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

awesome-public-datasets

A awesome list of (large-scale) public datasets on the Internet. (On-going collection)

awesome-vscode

🎨 A curated list of delightful VS Code packages and resources.

aws-cloud-ml-udacity-practice

This repository contains notebooks from attempted challenges and quizzess posed in the AWS cloud machine learning foundations course on Udacity where I am learning how to develop ML systems for production with software engineering best practices in mind.

aws-deepcomposer-samples

azureml-flightpredictionchallenge

Took Microsoft's Principles of ML course? This documnetation contains the detailed solution to the final laboratory survey.

best_ai_paper_2020

A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code

bytewax-data-pipeline

This repository contains the demo code for the how-to blog post on building a data pipeline on AWS with Bytewax and DynamoDB

bytewax-drift-monitoring

carbon-arise-internship

This repository contains notebooks on analyzing financial data during my virtual internship with "Paylater" (now Carbon) financial institution.

colab_ui

UI interface based on Vision_UI using fastai compatible with Google Colab

course-collaboration-travel-plans

data-engineer-roadmap

Roadmap to becoming a data engineer in 2021

data_science_nigeria_2018

A repository containing my notebook and data files for Data Science Nigeria 2018 pre-hackathon bootcamp.

datacamp

A repository that contains courses I have taken on DataCamp

deeplearning-models

A collection of various deep learning architectures, models, and tips

dns-challenge

This repo contains the scripts, models and required files for the Interspeech 2020 Deep Noise Suppression (DNS) Challenge. We are open sourcing clean speech and noise files as well. Participants of this challenge will use the scripts from this repo to create data to train their noise suppressors. They will compare their method with our baseline noise suppressor and report the results.

encord-blog-clip

This repository is for a blog article on evaluating Foundation Models (CLIP) using Encord Active. 🟣 Encord Active is an open-source framework for computer vision model testing, evaluation, and validation.

examples

TensorFlow examples

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.

hdl_forensics

Models for verification and identification of document writers

image-classification-app

Image classification application deployed on AWS Serverless for Neptun.ai technical guide on how to deploy image classification models on serverless.

layer-demo-kubeflow

Notebook implementation for titanic dataset with Kale -- Layer.co ebook.

layer-ml-pipelines-spark

Repository for code samples and materials for the technical guide on "Machine Learning Pipelines with Apache Spark". The repository contains an end-to-end code sample for building an ML Pipeline with Spark on Colab and Amazon Elastic MapReduce (EMR).

max-human-pose-estimator

Detect humans in an image and estimate the pose for each person