mpld3 provides a custom stand-alone javascript library built on D3, which parses JSON representations of plots. The mpld3 python module provides a set of routines which parses matplotlib plots (using the mplexporter framework) and outputs the JSON description readable by mpld3.js.

Python implementations (on jupyter notebook) of algorithms described in the book "PRML"

唐诗，藏头诗，按需自动生成古诗，基于Keras、LSTM-RNN。文档齐全。

Introduction to time series preprocessing and forecasting in Python using AR, MA, ARMA, ARIMA, SARIMA and Prophet model with forecast evaluation.

Machine Learning and Reinforcement Learning in Finance New York University Tandon School of Engineering

A resource for learning about deep learning techniques from regression to LSTM and Reinforcement Learning using financial data and the fitness functions of algorithmic trading

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classifying muffin and cupcake recipes using support vector machines

2nd Place Solution 💰🥈

This is the code for "Time Series Prediction" By Siraj Raval on Youtube

KDD18 Tutorial: Deep Learning and Natural Language Processing with Apache MXNet (Incubating) Gluon

Breaking captchas using torch

PyTorch implementation of Soft Actor-Critic (SAC)

Web scrapping and related analytics using Python tools

http://nlp.seas.harvard.edu/2018/04/03/attention.html

Kipoi's model zoo API

Recommendation System using ML and DL

In The Wild 3D Morphable Models

ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission (CHIL 2020 Workshop)