ustcmike

AdaEQ_NeurIPS21

Author's Implementation of AdaEQ (NeurIPS21)

100-Days-Of-ML-Code

100 Days of ML Coding

100-Days-Of-ML-Code-1

100-Days-Of-ML-Code中文版

EconML

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

eth-net-intelligence-api

Ethereum Network Intelligence API

exercises_thushv_dot_com

Here lies all the exercises I implement and share in my website

LogTest

modern_chinese_nlp

(WIP) My humble contribution to the democratization of the Chinese NLP technology

optimistic_GAN_training

pytorch_workplace

Random miniprojects with pytorch.

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

sentencepiece

Unsupervised text tokenizer for Neural Network-based text generation.

ustcmike.github.io

Homepage

xnmt

eXtensible Neural Machine Translation