MetaDetect3D is a post-processing tool for 3D object detection neural networks that improve calibration, performance and can be used for efficient label error detection as well.

This repository contains multiple Jupyter Notebooks providing a step-by-step guide for the OpenAI APIs.

A speed comparison between the GPUs offered by Google Colab vs the MacBook M1 Max 24 Core chip

A Python Library for High-Level Semantic Segmentation Models based on TensorFlow and Keras with pretrained backbones.

The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919

Complete-Life-Cycle-of-a-Data-Science-Project

You want to contribute to an open-source project? You don't know how to do it? Here is how to.

An Open Source Machine Learning Framework for Everyone

Public repo for HF blog posts

PyTorch implementations of Generative Adversarial Networks.

This library contains Semi-Supervised Learning Algorithms for Computer Vision tasks implemented with TensorFlow 2.x and Python 3.x

Various examples for TensorFlow Extended using Apache Beam and Airflow to create End2End Pipelines for Machine Learning.

All Algorithms implemented in Python

Data science interview questions and answers

Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5

🤘 awesome-semantic-segmentation

A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.

CRF-RNN Keras/Tensorflow version

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

Keras & Flask AI Web Application

Implementation of different Residual Network Architectures