5921 Open source projects that are alternatives of or similar to Bokeh Notebooks

Deep Learning Cookbox

Single cell current best practices tutorial case study for the paper:Luecken and Theis, "Current best practices in single-cell RNA-seq analysis: a tutorial"

My blogs and code for machine learning. http://cnblogs.com/pinard

My implementations of cs231n 2017

Preparing for machine learning interviews

An autonomous AI racecar using NVIDIA Jetson Nano

Introduction to Deep Learning for Natural Language Processing

A series of machine learning tutorials for Torch7

Code for "PVNet: Pixel-wise Voting Network for 6DoF Pose Estimation" CVPR 2019 oral

PyBites Code Challenges

PyTorch/TorchScript compiler for NVIDIA GPUs using TensorRT

Models and examples built with Swift for TensorFlow

A CLI tool to convert CSV / Excel / HTML / JSON / Jupyter Notebook / LDJSON / LTSV / Markdown / SQLite / SSV / TSV / Google-Sheets to a SQLite database file.

Exercise notebooks for CVND.

fast.ai Courses

Notebooks and code for the book "Introduction to Machine Learning with Python"

Implementation of some classic Machine Learning model from scratch and benchmarking against popular ML library

Code for "High-Precision Model-Agnostic Explanations" paper

Korean BERT pre-trained cased (KoBERT)

Early stopping for PyTorch

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

ebook Machine Learning cơ bản

this repository accompanies the book "Grokking Deep Learning"

A script that creates train, valid and test datasets for the ranking task from Ubuntu corpus dialogs.

Python implementation of KNN and DTW classification algorithm

Data Analysis Baseline Library

深度学习笔记

Notes for the Reinforcement Learning course by David Silver along with implementation of various algorithms.

fast.ai early development experiments

《机器学习宝典》包含：谷歌机器学习速成课程（招式）+机器学习术语表（口诀）+机器学习规则（心得）+机器学习中的常识性问题 （内功）。该资源适用于机器学习、深度学习研究人员和爱好者参考！

Code, exercises and tutorials of my personal blog ! 📝

Notebooks for MXNet

Efficient Image Captioning code in Torch, runs on GPU

Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening

Time series classification and clustering code written in Python.

bamboolib - a GUI for pandas DataFrames

My solution to the book <A collection of Data Science Take-home Challenges>

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

提供对YOLOv3及Tiny的多种剪枝版本，以适应不同的需求。

A toolkit for #1millionwomentotech community.

Python Deep Dive Course - Accompanying Materials

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.

Mina is a new cryptocurrency with a constant size blockchain, improving scaling while maintaining decentralization and security.

The codes I made while I practiced various TensorFlow examples

This is a collection of all the code that can be found on my YouTube channel Sigma Coding.

A TensorFlow implementation of DeepMind's Differential Neural Computers (DNC)

This repo contains materials for use in a TensorFlow workshop.

A pedagogical implementation of Autograd

A Chrome extension that adds a 3d photo effect to instagram pages.

Recipes for using Python's pandas library

Some Python Implementations of the Kalman Filter

Lectures for INFO8010 - Deep Learning, ULiège

Brushing and linking for big data

Temporary home for fastai v2 while it's being developed

Large scale K-means and K-nn implementation on NVIDIA GPU / CUDA

机器学习算法的公式推导以及numpy实现

Backtest 1000s of minute-by-minute trading algorithms for training AI with automated pricing data from: IEX, Tradier and FinViz. Datasets and trading performance automatically published to S3 for building AI training datasets for teaching DNNs how to trade. Runs on Kubernetes and docker-compose. >150 million trading history rows generated from +5000 algorithms. Heads up: Yahoo's Finance API was disabled on 2019-01-03 https://developer.yahoo.com/yql/