DominickZhang / KDDCup2019_adminLinks
Our solutions for KDDCup2019 as team "admin"
☆14Updated 6 years ago
Alternatives and similar repositories for KDDCup2019_admin
Users that are interested in KDDCup2019_admin are comparing it to the libraries listed below
Sorting:
- Code for KDD CUP 2019 Auto-ML track☆21Updated 6 years ago
- The ts302_team final solution to the KDD CUP 2019 AutoML Track problem.☆15Updated 5 years ago
- ☆250Updated 4 years ago
- some ctr model, implemented by PyTorch, such as Factorization Machines, Field-aware Factorization Machines, DeepFM, xDeepFM, Deep Interes…☆70Updated 6 years ago
- PAKDD AutoML challenge 2nd Feature Engineering Part☆70Updated 4 years ago
- A Distribution-Free Test of Independence Based on Mean Variance Index.☆24Updated last year
- KDD CUP 2020 Automatic Graph Representation Learning: 1st Place Solution☆98Updated 4 years ago
- Tutorials about AutoML☆85Updated 3 years ago
- AutoGBT is used for AutoML in a lifelong machine learning setting to classify large volume high cardinality data streams under concept-dr…☆114Updated 5 years ago
- A machine learning competition in Automated Deep Learning (AutoDL), co-organized by ChaLearn, Google and 4Paradigm. Accepted at NeurIPS 2…☆22Updated 4 years ago
- The source code to the book Weakly Supervised Learning (O'Reilly, 2020) by Russell Jurney☆36Updated 4 years ago
- LightCTR is a tensorflow 2.0 based, extensible toolbox for building CTR/CVR predicting models.☆102Updated last year
- Multi-Task Learning package built with tensorflow 2 (Multi-Gate Mixture of Experts, Cross-Stitch, Ucertainty Weighting)☆52Updated 5 years ago
- papers we read about Recommendation Advertising & Search☆32Updated 5 years ago
- ☆205Updated 5 years ago
- ☆74Updated 6 years ago
- An AutoML pipeline selection system to quickly select a promising pipeline for a new dataset.☆83Updated 3 years ago
- A collection of research and survey papers of reforcement learning (RL) based recommender system techniques.☆72Updated 5 years ago
- ToR[e]cSys is a PyTorch Framework to implement recommendation system algorithms, including but not limited to click-through-rate (CTR) pr…☆104Updated 3 years ago
- ☆62Updated 6 years ago
- Accelerating Inference for Recommendation Systems (WSDM'21)☆112Updated 4 years ago
- The final code submission of Meta_Learners, which won the second place in NIPS 2018 AutoML Challenge☆17Updated 6 years ago
- How to calibrate your neural network classifier: Getting accurate probabilities from a classification model☆53Updated 4 years ago
- Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes☆62Updated 10 months ago
- TensorFlow implementation of GradNorm☆41Updated 2 years ago
- Wide and Deep Learning(Wide&ResDNN) for Kaggle Criteo Dataset in tensorflow☆82Updated 6 years ago
- rectorch is a pytorch-based framework for state-of-the-art top-N recommendation☆151Updated 4 years ago
- This is the official clone for the implementation of the NIPS18 paper Multi-Layered Gradient Boosting Decision Trees (mGBDT) .☆104Updated 6 years ago
- Collection of TensorFlow Examples☆37Updated 7 years ago
- A curated list of AutoML papers/tutorials/slides etc.☆92Updated 6 years ago