6307 Open source projects that are alternatives of or similar to Hitchhikers Guide Machine Learning

Adversarial networks in TensorFlow

机器学习&深度学习资料笔记&基本算法实现&资源整理（ML / CV / NLP / DM...）

The source code for "An Actor Critic Algorithm for Structured Prediction"

这个项目是基于论文YOLO9000: Better, Faster, Stronger的keras（backend：tensorflow）实现

Chinese Poetry Generation

策略基类/ 支持QIFI协议

Create interactive textual heat maps for Jupiter notebooks

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Python library for identifying the peaks and valleys of a time series.

Ethereum smart contracts that have been used during successful ICOs

🍝 Pastas is an open-source Python framework for the analysis of hydrological time series.

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I took Andrew Ng's Machine Learning course on Coursera and did the homework assigments... but, on my own in python because I love jupyter notebooks!

Introduction to Uncertainty Quantification

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This repository contains three ways to obtain arbitrage which are Dual Listing, Options and Statistical Arbitrage. These are projects in collaboration with Optiver and have been peer-reviewed by staff members of Optiver.

COMS W4995 Applied Machine Learning - Spring 18

numsca is numpy for scala

In this notebook we will explore a machine learning approach to find anomalies in stock options pricing.

Kaggle Segmentation Challenge

A curated list of fellowships for graduate students in Computer Science and related fields.

This repo contains only source code for computer science course.

How to build RNNs and LSTMs from scratch with NumPy.

Notebooks for https://python.quantecon.org

Enables the use of Stata together with Python via Jupyter (IPython) notebooks.

Learn applied deep learning from zero to deployment using TensorFlow 1.8+

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MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification

Materials for the "Advanced Scikit-learn" class in the afternoon

Tencent Social Ads 2017 contest rank 20

A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/

A library to model multivariate data using copulas.

A Python wrapper for ngrok

Object detection and segmentation for a surgery robot using Mask-RCNN on Python 3, Keras, and TensorFlow..

Predicting house prices using Linear Regression and GBR

This is the hands-on deep learning tutorial series for the 2018/2019 Medical AI course by DeepOncology AI.

An interactive book about the Riemann problem for hyperbolic PDEs, using Jupyter notebooks. Work in progress.

How to perform an exploratory data analysis on the Kaggle Titanic dataset and make a submission to the leaderboard.

Notebook for my medium article about how to use Dataset API in TensorFlow

Jupyter meets Vim. Vimmer will fall in love.

INTERSPEECH 2019 Tutorial Materials

A replica of the AlphaZero methodology for deep reinforcement learning in Python

Tensorflow implementation of Deepminds dqn with double dueling networks

Run your code in the cloud, with technology so advanced, it feels like magic!

A repository of Pyomo examples.

Following repo is the solution to Stock Market Prediction using Neural Networks and Sentiment Analysis

Based on "Image Quilting for Texture Synthesis and Transfer" and "Real-Time Texture Synthesis by Patch-Based Sampling" papers

Label line using matplotlib.

visualization of CNN in PyTorch

Multi dimensional LSTM as described in Alex Graves' Paper https://arxiv.org/pdf/0705.2011.pdf

Implementations of some popular Saliency Maps in Keras

a bot that generates realistic replies using a combination of pretrained GPT-2 and BERT models

Example for end-to-end machine learning on Kubernetes using Kubeflow and Seldon Core

🐳📊🤓Cookiecutter template to launch an awesome dockerized Data Science toolstack (incl. Jupyster, Superset, Postgres, Minio, AirFlow & API Star)

🎓 Введение в машинное обучение. Курс от ВШЭ и ШАД на coursera.org

High performance implementation of Extreme Learning Machines (fast randomized neural networks).

COVID-19 Mobility Data Aggregator. Scraper of Google, Apple, Waze and TomTom COVID-19 Mobility Reports🚶🚘🚉