7012 Open source projects that are alternatives of or similar to Deeplearning

Six snippets of code that made deep learning what it is today.

Plain python implementations of basic machine learning algorithms

100 Days of ML Coding

Early stopping for PyTorch

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.

Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?

General Assembly's 2015 Data Science course in Washington, DC

Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.

Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.

该存储库包含由deeplearning.ai提供的相关课程的个人的笔记和实现代码。

I will update this repository to learn Machine learning with python with statistics content and materials

Collection of various implementations and Codes in Machine Learning, Deep Learning and Computer Vision ✨💥

A New, Interactive Approach to Learning Python

Python code for common Machine Learning Algorithms

Data Science & Machine Learning projects and tutorials in python from beginner to advanced level.

Script that crawls meta data from ICLR OpenReview webpage. Tutorials on installing and using Selenium and ChromeDriver on Ubuntu.

A collection of demos showcasing automated feature engineering and machine learning in diverse use cases

Data Science Best Practices with pandas

TensorFlow Basic Tutorial Labs

The hands-on NLTK tutorial for NLP in Python

Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..

This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and Łukasz Kaiser offered by deeplearning.ai

A tutorial on the most important features and idioms of Scala that you need to use Spark's Scala APIs.

An introduction to network analysis and applied graph theory using Python and NetworkX

Learn Julia via interactive tutorials!

IPython Notebooks to learn Python

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

useR! 2016 Tutorial: Machine Learning Algorithmic Deep Dive http://user2016.org/tutorials/10.html

用Python做些有趣的项目

Theory of digital signal processing (DSP): signals, filtration (IIR, FIR, CIC, MAF), transforms (FFT, DFT, Hilbert, Z-transform) etc.

Code For Medium Article: "How To Create Natural Language Semantic Search for Arbitrary Objects With Deep Learning"

PyTorch Tutorial (1.7)

[ISBI'21] MedMNIST Classification Decathlon: A Lightweight AutoML Benchmark for Medical Image Analysis

An intro to Python & programming for wanna-be data scientists

An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

Code for Tensorflow Machine Learning Cookbook

Ways of doing Data Science Engineering and Machine Learning in R and Python

Coloring black and white images with deep learning.

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

A tiny 1000 line LLVM-based numeric specializer for scientific Python code.

Human Activity Recognition (HAR) with Keras and CoreML

Practice your pandas skills!

A free tutorial for Apache Spark.

Introduction to pandas Treehouse course

Learn Python for free using open-source notebooks in Hebrew.

A project for developing tutorials for Streams

Slides and Jupyter notebooks

Google Colaboratory Notebooks and Repositories (by @firmai)

Tutorials of TensorFlow eager execution

A set of machine learning experiments in Clojure

An Interactive Approach to Understanding Deep Learning with Keras

📈 Regression and Classification with UC Davis student quiz data and exam data

The implementation of Relativistic average GAN with Keras

Face masks are crucial in minimizing the propagation of Covid-19, and are highly recommended or even obligatory in many situations. In this project, we develop a pipeline to detect unmasked faces in images. This can, for example, be used to alert people that do not wear a mask when entering a building.

Implementation of ews weight constraint mentioned in recent Deep Mind paper: http://www.pnas.org/content/early/2017/03/13/1611835114.full.pdf

Tutorials for learning OpenCV in Python from Scratch

Learn to build a basic machine learning model from scratch with this repo and tutorial series.

For extensive instructor led learning