Pinned Repositories
Amazing-Feature-Engineering
Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.
Awesome-Deep-Learning-Papers-for-Search-Recommendation-Advertising
Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR prediction, CVR prediction), Post Ranking, Transfer and Reinforcement Learning.
causalml
Uplift modeling and causal inference with machine learning algorithms
data
Some materials for studying. Welcome to discuss about them.
Kaggle_class_1
七月算法 - Kaggle课程 - Kaggle实战班 课件
llama
Inference code for LLaMA models
lm-human-preferences
Code for the paper Fine-Tuning Language Models from Human Preferences
RL4LMs
A modular RL library to fine-tune language models to human preferences
trl
Train transformer language models with reinforcement learning.
Zuozuohao's Repositories
Zuozuohao/Amazing-Feature-Engineering
Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.
Zuozuohao/Awesome-Deep-Learning-Papers-for-Search-Recommendation-Advertising
Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR prediction, CVR prediction), Post Ranking, Transfer and Reinforcement Learning.
Zuozuohao/causalml
Uplift modeling and causal inference with machine learning algorithms
Zuozuohao/data
Some materials for studying. Welcome to discuss about them.
Zuozuohao/Kaggle_class_1
七月算法 - Kaggle课程 - Kaggle实战班 课件
Zuozuohao/llama
Inference code for LLaMA models
Zuozuohao/lm-human-preferences
Code for the paper Fine-Tuning Language Models from Human Preferences
Zuozuohao/RL4LMs
A modular RL library to fine-tune language models to human preferences
Zuozuohao/trl
Train transformer language models with reinforcement learning.