5921 Open source projects that are alternatives of or similar to Machine_learing_study

Codes for weekly challenges on Deep Learning by Siraj

The Hunting ELK

4 different recommendation engines for the MovieLens dataset.

tensorflow implementation of Grad-CAM (CNN visualization)

https://madewithml.com/

This repo will house all our course material and code snippets from the Introduction to Machine Learning Class

My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Friedman

Short Tutorial to Probabilistic Graphical Models(PGM) and pgmpy

These are my notes which I prepared during deep learning specialization taught by AI guru Andrew NG. I have used diagrams and code snippets from the code whenever needed but following The Honor Code.

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

A soil humidity level sensor based on ATTINY44. Uses capacitive sensing.

Two-talker Speech Separation with LSTM/BLSTM by Permutation Invariant Training method.

Code repo for "LSTM Pose Machines" (CVPR'18)

摩拜单车爬虫

Human-explainable AI.

TensorFlow实战，使用LSTM预测彩票

C# kernel for Jupyter

No description, website, or topics provided.

Implementations for my blog post [here](https://medium.com/@TalPerry/deep-learning-the-stock-market-df853d139e02#.flflpo3xf)

(ECCV 2020) RANSAC-Flow: generic two-stage image alignment

The code to reproduce results from paper "MultiFiT: Efficient Multi-lingual Language Model Fine-tuning" https://arxiv.org/abs/1909.04761

FC-DenseNet in PyTorch for Semantic Segmentation

Примеры для курса "Программирование глубоких нейронных сетей на Python"

Simple notebook to stream torrent files to Google Drive using Google Colab.

个人使用jupyter notebook整理的peter的《机器学习实战》代码，使其更有层次感，更加连贯，也加了一些自己的修改，以及注释

Cookiecutter template for data scientists working with Docker containers

Repository to accompany "Pandas for Everyone"

Noah Research

Implementation of spatial transformer networks (STNs) in keras 2 with tensorflow as backend.

Graph convolutional neural network for multirelational link prediction

Word to Gaussian Mixture Model

The Go kernel for Jupyter notebooks and nteract.

Collection of presentations for advanced Python topics

AdvHat: Real-world adversarial attack on ArcFace Face ID system

pytorch version of neural collaborative filtering

Notebooks and libraries for spatial/geo Python explorations

讲解常见的机器学习算法

This repository contains the code related to Natural Language Processing using python scripting language. All the codes are related to my book entitled "Python Natural Language Processing"

links to conference publications in graph-based deep learning

Practical Exercises in TensorFlow 2.0 for Ian Goodfellows Deep Learning Book

📚 嵌入式系统基础知识与主流编程语言相关内容总结

Patent analysis using the Google Patents Public Datasets on BigQuery

Parallel computing in Python tutorial materials

An implementation of our CVPR 2018 work 'Domain Adaptive Faster R-CNN for Object Detection in the Wild'

Introduction to Deep Neural Networks with Keras and Tensorflow

Translations of TensorFlow documentation

Pytorch starter kit for Kaggle competitions

Tensorflow tutorial for various Deep Neural Network visualization techniques

A tutorial for widgets

Contains Jupyter notebooks associated with the "Deep Reinforcement Learning Tutorial" tutorial given at the O'Reilly 2017 NYC AI Conference.

Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog

Rethinking Data Augmentation for Image Super-resolution (CVPR 2020)

Graph Classification with Graph Convolutional Networks in PyTorch (NeurIPS 2018 Workshop)