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365-days-computer-vision-learning-linkedin-post

365 Days Computer Vision Learning Linkedin Post

90daysofdevops

This repository is my documenting repository for learning the world of DevOps. I started this journey on the 1st January 2022 and I plan to run to March 31st for a complete 90-day romp on spending an hour a day including weekends to get a foundational knowledge across a lot of different areas that make up DevOps.

andrew-ng-notes

This is Andrew NG Coursera Handwritten Notes.

automold--road-augmentation-library

This library augments road images to introduce various real world scenarios that pose challenges for training neural networks of Autonomous vehicles. Automold is created to train CNNs in specific weather and road conditions.

chess-ai

compose

Define and run multi-container applications with Docker

cpulimit

CPU usage limiter for Linux

cvpr-2021-papers

dataset_synthesizer

NVIDIA Deep learning Dataset Synthesizer (NDDS)

deep-learning-coursera

Deep Learning Specialization by Andrew Ng, deeplearning.ai.

deep-learning-for-tracking-and-detection

Collection of papers, datasets, code and other resources for object tracking and detection using deep learning

densefusion

"DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion" code repository

dictionary_hashtable

English Vietnamese Dictionary Code = C language using HashTable algorithm

django-graphql-apollo-react-demo

Code for a workshop about my Django, GraphQL, ReactJS, Apollo-stack

django-reactjs-boilerplate

An example how you can use ReactJS with your Django project.

ecommerce-django-react

An eCommerce Website build on React and Django

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

free-courses-for-everyone

Download or get free coupons from famous course websites.

fsdl-text-recognizer-project

Lab materials for the Full Stack Deep Learning Course

hackerearth-solutions

HackerEarth solutions in Python

heart-rate-tracking

Heart rate tracking using the window method and template matching.

image-classification-using-cnn

A convolutional neural network approach to classify image using the CIFAR-10 image classification dataset.

imbalanced-dataset-sampler

A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.

imutils

A series of convenience functions to make basic image processing operations such as translation, rotation, resizing, skeletonization, and displaying Matplotlib images easier with OpenCV and Python.

kie_invoice_minimal

Key information extraction from invoice document with Graph Convolution Network

kubernetes

Production-Grade Container Scheduling and Management

learn-recsys

Get started with Recommendation Systems

library_reactjs_myself

machine-learning-articles

🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.

ml-from-scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.