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深度学习笔记

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

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。

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

Deep Learning Specialization courses by Andrew Ng, 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

Deep Learning Specialization by Andrew Ng on Coursera.

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

Big Data for Data Engineers Coursera Specialization from Yandex

Machine Learning and Data Analysis Coursera Specialization from Yandex and MIPT

Deep Learning Specialization by Andrew Ng on Coursera.

（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

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

google it automation with python professional certificate

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

Quiz & Assignment of Coursera

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

This is Andrew NG Coursera Handwritten Notes.

quizzes/assignments for mathematics for machine learning specialization on coursera

Google Colaboratory Notebooks and Repositories (by @firmai)

DeepLearning.AI TensorFlow Developer Professional Certificate Specialization

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

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

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

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

Quiz & Assignment of Coursera

Deep Learning Specialization by Andrew Ng on Coursera.

🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱

Machine learning for transportation data imputation and prediction.

Solutions to all quiz and all the programming assignments!!!

Tutorials and information on the Julia language for MIT numerical-computation courses.

A Jupyter notebook viewer for macOS

Official repository for the paper "High-Resolution Daytime Translation Without Domain Labels" (CVPR2020, Oral)

A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

Introduction to generative adversarial networks, with code to accompany the O'Reilly tutorial on GANs

Localize your cat at home with BLE beacon, ESP32s, and Machine Learning

Working with and analyzing Wikipedia Data

TernausNetV2: Fully Convolutional Network for Instance Segmentation

Automatically generate headlines to short articles

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

Code repo for realtime multi-person pose estimation in CVPR'17 (Oral)

A repository containing tutorials for practical NLP using PyTorch

Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code

🤖 Exercise answers to the problem sets from the 2017 machine learning course cs229 by Andrew Ng at Stanford

Tensorflow implementation of paper: Learning to Diagnose with LSTM Recurrent Neural Networks.

A collection of notebooks for Natural Language Processing from NLP Town

Financial data reader

This is the code for "Make Money with Tensorflow 2.0" by Siraj Raval

DX Analytics | Financial and Derivatives Analytics with Python

Jupyter notebooks for learning how to use SimpleITK

Computations and statistics on manifolds with geometric structures.

A collection of deep learning tutorials using Tensorflow and Python

Abuse of Google Colab for cracking hashes. 🐧

本仓库将PyTorch官方书籍《Deep learning with PyTorch》（基本摘录版）翻译成中文版并给出可运行的相关代码。

Tensorflow tutorial of building different dynamic recurrent neural network

A couple of simple GANs in Keras

Simple XLNet implementation with Pytorch Wrapper

Quantized Neural Networks (QNNs) on PYNQ