VanCheng's starred repositories
de4dot-cex
📦 de4dot deobfuscator with full support for vanilla ConfuserEx
hbmulligan
edit HearthBuddy mulligan
SAS-macros
SAS macros for statistics and graphics
enlighten-apply
Example code and materials that illustrate applications of SAS machine learning techniques.
Beyond-LeetCode-SQL
Analysis of SQL Leetcode and classic interview questions, common pitfalls, anti-patterns and handy tricks. Sample databases.
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
100-Days-Of-ML-Code
100 Days of ML Coding
electricitymaps-contrib
A real-time visualisation of the CO2 emissions of electricity consumption
coursera-dl
Script for downloading Coursera.org videos and naming them.
CS229-ML-Implementation
Implementation of algorithms introduced in CS229.
trackerslist
Updated list of public BitTorrent trackers
scikits-bootstrap
Python/numpy bootstrap confidence interval estimation.
machine-learning-course
:speech_balloon: Machine Learning Course with Python:
Python-100-Days
Python - 100天从新手到大师
stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
datascience
Curated list of Python resources for data science.
business-machine-learning
A curated list of practical business machine learning (BML) and business data science (BDS) applications for Accounting, Customer, Employee, Legal, Management and Operations (by @firmai)