Pinned Repositories
adaptive-large-neighbourhood-search
ALNS header-only library (loosely) based on the original implementation by Stefan Ropke.
AI
Microsoft AI
aistudio-vloong-anomaly-detection-top11
AI Studio x vLoong能源AI挑战赛——异常检测赛 A榜 TOP11 B榜 TOP8 方案
algorithm
回溯算法
algorithm-base
一位酷爱做饭的程序员，立志用动画将算法说的通俗易懂。我的面试网站 www.chengxuchu.com
algorithm011-class01
allennlp
An open-source NLP research library, built on PyTorch.
ALNS
Adaptive large neighbourhood search in Python.
tensorflow-DeepFM
Tensorflow implementation of DeepFM for CTR prediction.
transdim
Machine learning for transportation data imputation and prediction.
wallace-163's Repositories
wallace-163/AI
Microsoft AI
wallace-163/ALNS
Adaptive large neighbourhood search in Python.
wallace-163/berkeley-stat-157
Homepage for STAT 157 at UC Berkeley
wallace-163/da-rnn
Dual-Stage Attention-Based Recurrent Neural Net for Time Series Prediction
wallace-163/decision-tree-cart
Simple implementation of CART algorithm to train decision trees
wallace-163/DeepCTR-pytorch
Here are the models listed in CTR. Example: FM、DeepFM、xDeepFM etc.
wallace-163/DeepFM_with_PyTorch
A PyTorch implementation of DeepFM for CTR prediction problem.
wallace-163/End-to-End-Time-Series
This repository hosts code for my Time Series videos part of playlist here - https://www.youtube.com/playlist?list=PL3N9eeOlCrP5cK0QRQxeJd6GrQvhAtpBK
wallace-163/ETDataset
The Electricity Transformer dataset is collected to support the further investigation on the long sequence forecasting problem.
wallace-163/HandsOn-Unsupervised-Learning-with-Python
HandsOn-Unsupervised-Learning-with-Python, Published by Packt
wallace-163/JLBoost.jl
A 100%-Julia implementation of Gradient-Boosting Regression Tree algorithms
wallace-163/leetcode-master
LeetCode 刷题攻略：配思维导图，100+经典算法题目刷题顺序、经典算法模板、共40w字的详细图解，以及难点视频题解。按照刷题攻略上的顺序来刷题，让你在算法学习上不再迷茫！🔥🔥给个star支持一下吧！🚀
wallace-163/LSTM-time-series-forecasting
Predicting the behavior of $BTC-USD by training a memory-based neural net on historical data
wallace-163/ml-design-patterns
Source code accompanying O'Reilly book: Machine Learning Design Patterns
wallace-163/ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
wallace-163/ml-training-camp
wallace-163/numpy-ml
Machine learning, in numpy
wallace-163/pyspark-examples
Pyspark RDD, DataFrame and Dataset Examples in Python language
wallace-163/Pytorch-Camp
wallace-163/References
wallace-163/Simple-Implementation-of-ML-Algorithms
My simplest implementations of common ML algorithms
wallace-163/stackoverflow-top-cpp
stackoverflow 上对 C/C++ 问题的整理、总结和翻译。
wallace-163/Tensorflow2.0-examples
wallace-163/tft-speedup
Speeding up Google's Temporal Fusion Transformer
wallace-163/thundergbm
ThunderGBM: Fast GBDTs and Random Forests on GPUs
wallace-163/Time-series-prediction
A collection of time series prediction methods: rnn, seq2seq, cnn, wavenet, transformer, unet, n-beats
wallace-163/transformer-all-in-one
wallace-163/transformer-time-series-prediction
proof of concept for a transformer-based time series prediction model
wallace-163/XGBoost-From-Scratch
This repo contains a few tree based boosting algorithms implemented in python from scratch. This code relates to a medium.com article which I wrote explaining my journey to understanding how XGBoost works under the hood
wallace-163/YouTubeLI
Github repo to upload demo files of youtube videos and linkedin