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

Demo project to show how Machine Learn Models are deployed on production using Flask API

Four Courses Specialization Tensorflow in practise Specialization

Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

Easy ML and DL all repository of learning at one place

Machine learning, in numpy

Notebooks about Bayesian methods for machine learning

A curated list of ML|NLP resources for healthcare.

all kinds of text classification models and more with deep learning

Some useful Tips and Tricks to speed up the data analysis process in Python.

XLNet: Generalized Autoregressive Pretraining for Language Understanding

Web Scraped data from spotify.com website to perform predictive analysis using Python. Wrangled and pre-processed data and developed strategies to categorize the audio features of the song. Trained…

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

This is Andrew NG Coursera Handwritten Notes.

This is Andrew NG Coursera Handwritten Notes.

Data Cleaning is major part of Data Science Cycle. It will take 80% time.

My Study Collection data science courses, Article etc.

💬 Machine Learning Course with Python

Udacity 2018 Machine Learning Nanodegree Capstone project

Association rule mining is a technique to identify underlying relations between different items.

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

Original Author link : https://github.com/charlesliucn/stars-collection

Here my amazing tutorial collection contain amazing notebook must read. It's contain pytorch, Advance pandas, Ensemble learning, Tensorflow, Genetic Algorithms, Dask, Word Embedding

Machine learning notes that make your reading easy

TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.

Smart meter load disaggregation with Hidden Markov Models

TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。

🐝 A fast, easy and collaborative open source image annotation tool for teams and individuals.

Practical Time-Series Analysis, published by Packt