Kai Tian's starred repositories
visual-pushing-grasping
Train robotic agents to learn to plan pushing and grasping actions for manipulation with deep reinforcement learning.
pytorch-transformer
Attention is all you need implementation
direct-preference-optimization
Reference implementation for DPO (Direct Preference Optimization)
uncertainty-calibration
A collection of research and application papers of (uncertainty) calibration techniques.
Awesome-Learning-with-Label-Noise
A curated list of resources for Learning with Noisy Labels
generative-recommenders
Repository hosting code used to reproduce results in "Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations" (https://arxiv.org/abs/2402.17152).
Deep-Learning-Foundations-and-Concepts-Solutions
My solutions to DLFC - Deep Learning: Foundations and Concepts
slam_in_autonomous_driving
《自动驾驶中的SLAM技术》对应开源代码
causal-learn
Causal Discovery in Python. It also includes (conditional) independence tests and score functions.
Causal-Inference-and-Discovery-in-Python
Causal Inference and Discovery in Python by Packt Publishing
chan_lun_py
A personal Python implement of Chan-Lun, which is popular among Chinese share investors. Just for fun.
AnomalyDetection-SoftPatch
Code for NeurIPS 2022 paper "SoftKernel: Unsupervised Anomaly Detection with Noisy Data"
awesome-ggplot2
A curated list of awesome ggplot2 tutorials, packages etc.
Multitasking-Optimization
Summary of Multitasking Optimization
BGRL_Pytorch
Pytorch implementation of "Large-Scale Representation Learning on Graphs via Bootstrapping"
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 and CVR prediction), Post Ranking, Multi-task Learning, Graph Neural Networks, Transfer Learning, Reinforcement Learning, Self-supervised Learning and so on.
NLP-Knowledge-Graph
自然语言处理、知识图谱、对话系统三大技术研究与应用。
deep_recommenders
Deep Recommenders