taohu88 Goto Github PK

ad-papers

Papers on Computational Advertising

ai_freelancing

This is the code for "How to Do Freelance AI Programming" By Siraj Raval on Youtube

algorithms

ars-reparameterization

Source code for Naesseth et. al. "Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms" (2017)

awesome-deep-learning-papers

The most cited deep learning papers

bayesianml

c_sharp

coding

repo for coding

csr-dcf

Discriminative Correlation Filter with Channel and Spatial Reliability

cvx_short_course

Materials for a short course on convex optimization.

data-science-blogs

A curated list of data science blogs

data_processing_tips

datasets

deeplearning_examples

efficient_frontier

Markowitz portfolio optimisation (efficient frontier) in Python

engineering

ensembles

env_setting

ffm

field-aware factorization machine implemented by java with an experiment using criteo data set.

generalmlreadings

guassianprocess

ib-ruby

Ruby interface to Interactive Brokers' TWS API

kaggle_related

keras-resources

Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library

lstm-neural-network-for-time-series-prediction

LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data

machine-learning-for-software-engineers

A complete daily plan for studying to become a machine learning engineer.

machine-learning-notes

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (1000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(1000+页)和视频链接

ml-sghmc

Experiment code for Stochastic Gradient Hamiltonian Monte Carlo

ml-study-notes

ninjia

a common repo