5998 Open source projects that are alternatives of or similar to Deeplearning.ai Convolutional Neural Networks

Coursera Reinforcement Learning Specialization by University of Alberta & Alberta Machine Intelligence Institute

Deep Learning Specialization by Andrew Ng on Coursera.

Quiz & Assignment of Coursera

Machine Learning and Reinforcement Learning in Finance New York University Tandon School of Engineering

coursera吴恩达机器学习课程作业自写Python版本+Matlab原版

Programming assignments from all courses in the Coursera Natural Language Processing Specialization offered by deeplearning.ai.

Quiz & Assignment of Coursera

DeepLearning.ai课程学习Jupyter Notebook作业

quizzes/assignments for mathematics for machine learning specialization on coursera

Deep Learning Specialization by Andrew Ng on Coursera.

Deep Learning Specialization courses by Andrew Ng, deeplearning.ai

Big Data for Data Engineers Coursera Specialization from Yandex

Machine Learning and Data Analysis Coursera Specialization from Yandex and MIPT

（完结）网易云课堂微专业《深度学习工程师》听课笔记，编程作业和课后练习

google it automation with python professional certificate

This repo contains my coursework, assignments, and Slides for Natural Language Processing Specialization by deeplearning.ai on Coursera

吴恩达机器学习coursera课程，学习代码(2017年秋) The Stanford Coursera course on MachineLearning with Andrew Ng

吴恩达《深度学习》系列课程笔记及代码 | Notes in Chinese for Andrew Ng Deep Learning Course

DeepLearning.AI TensorFlow Developer Professional Certificate Specialization

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。

This is Andrew NG Coursera Handwritten Notes.

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

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

Google Colaboratory Notebooks and Repositories (by @firmai)

深度学习笔记

Solutions to assignments of Coursera Specializations - Deep learning, Machine learning, Algorithms & Data Structures, Image Processing and Python For Everybody

Deep Learning Specialization by Andrew Ng on Coursera.

Build and train state-of-the-art natural language processing models using BERT

For the pandas tutorial at PyData Seattle: https://www.youtube.com/watch?v=otCriSKVV_8

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

A new test set for ImageNet

Tutorial how to use xgboost

PRML algorithms implemented in Python

Python library for interactive topic model visualization. Port of the R LDAvis package.

Code samples and materials to help you learn to access SAS Viya services by writing programs in Python and other open-source languages

wgan, wgan2(improved, gp), infogan, and dcgan implementation in lasagne, keras, pytorch

开源人脸口罩检测模型和数据 Detect faces and determine whether people are wearing mask.

A collection of RAPIDS examples for security analysts, data scientists, and engineers to quickly get started applying RAPIDS and GPU acceleration to real-world cybersecurity use cases.

A central repository for all my projects

All my experiments with AI and ML

IJulia notebooks for AA228/CS238 Decision Making Under Uncertainty course at Stanford University

Curated list of open-access databases with human structural MRI data

Darwin Core

Re-implementation of the m-RNN model using TensorFLow

Detecting cinema shot types using a ResNet-50

Periodic Spatial Generative Adversarial Networks

Research on Texas Hold'em AI

Useful RadioML Examples

Porting the R code in ISL to python. Labs and exercises

Example Numba implementations of functions

Explore and analyse your Home Assistant data

Simple but Flexible Recommendation Engine in PyTorch

This github repository contains the code to the case studies in the O'Reilly book Machine Learning and Data Science Blueprints for Finance

Topic modeling with word vectors

ML

A collection of all projects pertaining to different layers in the SDC software stack

machine learning