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This is a memo to share what I have learnt in Machine Learning with Tree-Based Models (using Python)
Python
5
1 Updated
2020-11-22 -
Autonomous driving simulator for the project in course cs6244
Python
5 Updated
2019-08-16 -
PyTorch implementation of Conditional Random Fields as Recurrent Neural Networks (CRFasRNN), ICCV 2015 for semantic segmentation.
Python
5
2
1 Updated
2021-01-15 -
A TensorFlow implementation of "Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels"
MIT License
Python
5
4 Updated
2021-01-30 -
This project aim to help operation staff with community manage and communication
Python
5
2 Updated
2018-06-18 -
Telegram bot hosted on Google App Engine that fetches bible passages from biblegateway.com
Python
5
7
3 Updated
2020-12-13 -
Pretty print Python objects with style in full color and proper indentation. Port of Ruby's Awesome Print.
MIT License
Python
5 Updated
2020-10-01 -
An implementation by AlphaZero algorithm for Gomoku (Gobang / Five Chess)
Apache License 2.0
Python
5
3 Updated
2020-06-14 -
Algorithm Training from BigO Coding and Codeforces and and and some other sites
Python
5 Updated
2020-12-26 -
Aequitas, a directed fairness testing framework machine learning models.
Python
5
4 Updated
2020-08-01 -
Source code of the AAAI-2020 paper "Topic Modeling on Document Networks with Adjacent-Encoder"
Python
5
2 Updated
2020-10-14