Top 11667 Jupyter Notebook open source projects

Ipython notebook presentations for getting starting with basic programming, statistics and machine learning techniques

RIFE: Real-Time Intermediate Flow Estimation for Video Frame Interpolation

Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0

A complete course for learning Bitcoin programming and usage from the command

PyTorch implementation of our ICCV 2019 paper: Liquid Warping GAN: A Unified Framework for Human Motion Imitation, Appearance Transfer and Novel View Synthesis

General Assembly's 2015 Data Science course in Washington, DC

ARCHIVED: Contains historical course materials/Homework materials for the FREE MOOC course on "Creative Applications of Deep Learning w/ Tensorflow" #CADL

Red Team's SIEM - tool for Red Teams used for tracking and alarming about Blue Team activities as well as better usability in long term operations.

北京知识图谱学习小组

NLP and Text Generation Experiments in TensorFlow 2.x / 1.x

A C++ standalone library for machine learning

NMA Computational Neuroscience course

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

NLTK Source

Add any Program in any language you like or add a hello world Program ❣️ if you like give us ⭐

The official PyTorch implementation of Towards Fast, Accurate and Stable 3D Dense Face Alignment, ECCV 2020.

API libraries, samples, and system images for AIY Projects (Voice Kit and Vision Kit)

A few exercises for use at events.

DeepFashion2 Dataset https://arxiv.org/pdf/1901.07973.pdf

Python and JavaScript bindings for calling the Earth Engine API.

BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.

This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.

A model-agnostic visual debugging tool for machine learning

A library for easy and efficient manipulation of tensor networks.

Reproduce MTCNN using Tensorflow

Implementation for <SphereFace: Deep Hypersphere Embedding for Face Recognition> in CVPR'17.

Dense image captioning in Torch

The deeplearning algorithms implemented by tensorflow

Bi-directional Attention Flow (BiDAF) network is a multi-stage hierarchical process that represents context at different levels of granularity and uses a bi-directional attention flow mechanism to achieve a query-aware context representation without early summarization.

MTCNN face detection implementation for TensorFlow, as a PIP package.

Adaptive Experimentation Platform

A python library for decision tree visualization and model interpretation.

PRML algorithms implemented in Python

A curated list of awesome embedding models tutorials, projects and communities.

Dask tutorial

Machine Learning Platform and Recommendation Engine built on Kubernetes

wgan, wgan2(improved, gp), infogan, and dcgan implementation in lasagne, keras, pytorch

Python library for interactive topic model visualization. Port of the R LDAvis package.

Language Understanding Evaluation benchmark for Chinese: datasets, baselines, pre-trained models,corpus and leaderboard

开源人脸口罩检测模型和数据 Detect faces and determine whether people are wearing mask.

pdfrw is a pure Python library that reads and writes PDFs

Materials for my scikit-learn tutorial

强化学习中文教程，在线阅读地址：https://datawhalechina.github.io/easy-rl/

Машинное обучение на ФКН ВШЭ

HTML5 based online tool to extract numerical data from plot images.

Cloud ML Engine repo. Please visit the new Vertex AI samples repo at https://github.com/GoogleCloudPlatform/vertex-ai-samples

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

This repository is primarily maintained by Omar Santos and includes thousands of resources related to ethical hacking / penetration testing, digital forensics and incident response (DFIR), vulnerability research, exploit development, reverse engineering, and more.

《Python Cookbook》 3rd Edition Translation

机器学习相关教程