Juan Lu (Ivory)'s repositories
awesome-deep-learning-survey-papers
In this page, I will provide a list of survey papers on topics related to deep learning and its applications in various fields.
calibration-framework
Python Framework to calibrate confidence estimates of classifiers like Neural Networks
CameraTraps
Tools for training and running detectors and classifiers for wildlife images collected from motion-triggered cameras.
coursera-test
Coursera test repository
CTGAN
Conditional GAN for generating synthetic tabular data.
data-processing
Practice data processing
Deep-Feature-Flow
Deep Feature Flow for Video Recognition
DeepGBM
Implementation for the paper "DeepGBM: A Deep Learning Framework Distilled by GBDT for Online Prediction Tasks", which has been accepted by KDD'2019.
dowhy
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
EfficientNet-PyTorch
A PyTorch implementation of EfficientNet
fucking-algorithm
刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.
google-research
Google Research
Image-processing
Image processing modelling and relevant programming
leetcode
Python & JAVA Solutions for Leetcode
lintcode
Some solutions for problems in Lintcode
Machine-Learning-Notes
周志华《机器学习》手推笔记
MPI-HPC-Project2
HPC Assignment with MPI and OpenMP
pumpkin-book
《机器学习》（西瓜书）公式推导解析，在线阅读地址：https://datawhalechina.github.io/pumpkin-book
pycox
Survival analysis with PyTorch
PyTorchNLPBook
Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://nlproc.info
tab-transformer-pytorch
Implementation of TabTransformer, attention network for tabular data, in Pytorch
tabular-dl-num-embeddings
The official implementation of the paper "On Embeddings for Numerical Features in Tabular Deep Learning"
TGAN
Generative adversarial training for generating synthetic tabular data.