WenyiWU's starred repositories
the-algorithm
Source code for Twitter's Recommendation Algorithm
full-blockchain-solidity-course-py
Ultimate Solidity, Blockchain, and Smart Contract - Beginner to Expert Full Course | Python Edition
Machine-Learning-Collection
A resource for learning about Machine learning & Deep Learning
SegLossOdyssey
A collection of loss functions for medical image segmentation
chatgpt-prompts-for-academic-writing
This list of writing prompts covers a range of topics and tasks, including brainstorming research ideas, improving language and style, conducting literature reviews, and developing research plans.
pytorch-segmentation
:art: Semantic segmentation models, datasets and losses implemented in PyTorch.
pytorch-goodies
PyTorch Boilerplate For Research
featurewiz
Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshadri. Collaborators welcome.
doubleml-for-py
DoubleML - Double Machine Learning in Python
recommendation
Recommendation System using ML and DL
awesome-causality-data
A data index for learning causality.
SyntheticControlMethods
A Python package for causal inference using Synthetic Controls
codesnippets
Code Snippets Repository for all my Content
Recommender-System-on-MovieLens-dataset
Knowledge-based, Content-based and Collaborative Recommender systems are built on MovieLens dataset with 100,000 movie ratings. These Recommender systems were built using Pandas operations and by fitting KNN, SVD & deep learning models which use NLP techniques and NN architecture to suggest movies for the users based on similar users and for queries specific to genre, user, movie, rating, popularity.
Blog-Posts
Code and notebooks for my Medium blog posts
AI-PhD-S24
Mono repo for the PhD course AI for Business Research (DSME 6635, S24)
PySensemakr
Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr
Emotions-recognition-from-audio-signal
Emotions recognition from audio signal using OpenSmile, PCA and set of classifiers from Scikit-learn library
CUHK-STAT3009
Recommender systems in Python
liblinear-sc-reading
LIBLINEAR理论与源码解读（已完结）
nonlinear-causal
nl-causal: nonlinear causal inference based on IV regression in Python
deep_learning_based_causal_inference_for_combinatorial_experiments
codes for the paper Deep Learning Based Casual Inference for Combinatorial Experiments