5998 Open source projects that are alternatives of or similar to Deep Learning Coursera

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

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

quizzes/assignments for mathematics for machine learning specialization on coursera

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

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 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

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

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

Deep Learning Specialization by Andrew Ng on Coursera.

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

Google Colaboratory Notebooks and Repositories (by @firmai)

Deep Learning Specialization by Andrew Ng on Coursera.

Quiz & Assignment of Coursera

Machine Learning and Data Analysis Coursera Specialization from Yandex and MIPT

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

DeepLearning.AI TensorFlow Developer Professional Certificate Specialization

google it automation with python professional certificate

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

Quiz & Assignment of Coursera

Big Data for Data Engineers Coursera Specialization from Yandex

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

Deep Learning Specialization courses by Andrew Ng, deeplearning.ai

Completed assignment jupyter notebook of Foundations of Convolutional Neural Networks, deeplearning.ai coursera course

（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

This is Andrew NG Coursera Handwritten Notes.

DeepLearning.ai课程学习Jupyter Notebook作业

深度学习笔记

pytorch implementation of openpose including Hand and Body Pose Estimation.

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.

Solutions of Reinforcement Learning, An Introduction

Implementing Siamese networks with a contrastive loss for similarity learning

Code for finetuning AlexNet in TensorFlow >= 1.2rc0

strip output from Jupyter and IPython notebooks

Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework

Gaussian Process Optimization using GPy

Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.

This repository is intended to host tools and demos for ActivityNet

Slides and code from our TensorFlow workshop.

Notes, examples, and Python demos for the textbook "Machine Learning Refined" (published by Cambridge University Press).

Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins

Machine Learning University: Accelerated Tabular Data Class

TensorForce Bitcoin Trading Bot

Practice your pandas skills!

Lane Finding Project for Self-Driving Car ND

Generative Adversarial Networks implemented in PyTorch and Tensorflow

Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

Swift for TensorFlow

A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body

Simple tutorials using Google's TensorFlow Framework

A small library for automatically adjustment of text position in matplotlib plots to minimize overlaps.

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

中文 Python 笔记

Project for Digital Image Processing

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks

The Hitchhiker's Guide to Data Science for Social Good

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。

Code for Tensorflow Machine Learning Cookbook

Learn Julia via interactive tutorials!