Analytics and data science business case studies to identify opportunities and inform decisions about products and features. Topics include Markov chains, A/B testing, customer segmentation, and machine learning models (logistic regression, support vector machines, and quadratic discriminant analysis).

Manifold-learning flows (ℳ-flows)

CME211 Notes | Outline ->

Jupyter-friendly Python interface for C++ MINUIT2

Miscellaneous Malware RE

TensorFlow implementation for training MCMC samplers from the paper: Generalizing Hamiltonian Monte Carlo with Neural Network

Reinforcement Learning with Goals

1st Solution for 2019-CIKM-Analyticup, Efficient and Novel Item Retrieval for Large-scale Online Shopping Recommendation

A Jupyter kernel for Stata. Works with Windows, macOS, and Linux.

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

Notebooks on how to use Distributed Evolutionary Algorithm in Python (DEAP)

18.330 Introduction to Numerical Analysis

中文的 tensorflow tutorial with jupyter notebooks

A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.

✅ Solutions to MachineLearning, DeepLearning, NeuralNetwork

借助Python抓取微博数据，并对抓取的数据进行情绪分析

One-Shot Video Object Segmentation

Code and shared files

DCGAN image generator 🖼️.