6236 Open source projects that are alternatives of or similar to Dataminingnotesandpractice

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

Sample notebooks for Kaggle competitions

A community run, 5-day PyTorch Deep Learning Bootcamp

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

Home Assistant custom component for using Deepstack face recognition

Best Practices on Recommendation Systems

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.

Python Data Analysis Cookbook, published by Packt

Mish Activation Function for PyTorch

A series of Jupyter notebooks with Chinese comment that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

Fast and Easy Infinite Neural Networks in Python

Repo for 42 days project to replicate/improve Airbnb's amenity (object) detection pipeline.

Open-source implementation of Google Vizier for hyper parameters tuning

Python version of Dr. Ernie Chan's Matlab code and some inspired from Robert Carver's, plus some raw data downloaders

Datasets, tools, and benchmarks for representation learning of code.

To contain example scripts for different tools.

Torch notebooks and slides for the Bay Area Deep Learning Summer School

Generic U-Net Tensorflow 2 implementation for semantic segmentation

Python implementation of Deep Learning book

TRAINING DEEP NEURAL-NETWORKS USING A NOISE ADAPTATION LAYER

This is the code for the "How to do Object Detection with OpenCV" live session by Siraj Raval on Youtube

Supporting infrastructure to run scientific experiments without a scientific workflow management system.

Core components of Python Spatial Analysis Library

Time Series Forecast with Bitcoin value, to detect upward/down trends with Machine Learning Algorithms

Sequana: a set of Snakemake NGS pipelines

Predictive Maintenance using Pyspark

Tensorflow implementation of Multi-View 3D Object Detection Network (in progress)

[5 FPS - 150 FPS] Learning Deep Features for One-Class Classification (AnomalyDetection). Corresponds RaspberryPi3. Convert to Tensorflow, ONNX, Caffe, PyTorch. Implementation by Python + OpenVINO/Tensorflow Lite.

Implementation of original style transfer paper (Gatys et al)

Brazilian-Portuguese word list and instructions booklet for Diceware

Code repo for optimizing distributions of molecules.

Wrapper of DELF Tensorflow Model

Deep Learning Specialization by Andrew Ng, deeplearning.ai.

This is the code for "Mathematcs of Machine Learning" by Siraj Raval on Youtube

100天机器学习 （翻译+ 实操）

利用python进行财务分析

A toolkit for controlling Euro Truck Simulator 2 with python to develop self-driving algorithms.

Deep learning and Reinforcement learning lecture and course work

Machine Learning Sound Classifier

Awesome-pytorch-list 翻译工作进行中......

ALAD (Proceedings of IEEE ICDM 2018) official code

A re-implementation of mtcnn. Joint training, tutorial and deployment together.

Hands-On Data Science for Marketing, published by Packt

Todas os arquivos dos vídeos do Canal Sandeco

An example on how to train supervised classifiers for multi-label text classification using sklearn pipelines

Code and examples from Business Data Science

Code for paper in CVPR2019, 'Attentive Feedback Network for Boundary-aware Salient Object Detection'

Get, Concatenate and Process you location history from Google Maps TimeLine

Enriching BERT with Knowledge Graph Embedding for Document Classification (PyTorch)

Tensorflow implementation : U-net and FCN with global convolution

All codes from the DataWhatNow blog.

Hands-on Exploratory Data Analysis with Python, published by Packt

A Primer on Gaussian Processes for Regression Analysis (PyData NYC 2019)

An all-in-one Deep Learning toolkit for image classification to fine-tuning pretrained models using MXNet.

kmeans using PyTorch