diogo149 / CauseEffectPairsChallengeLinks
☆17Updated 11 years ago
Alternatives and similar repositories for CauseEffectPairsChallenge
Users that are interested in CauseEffectPairsChallenge are comparing it to the libraries listed below
Sorting:
- Kernel Mixture Network implementation with some minor tweaks☆45Updated 8 years ago
- Rank Ordered Autoencoder implementation as described in https://arxiv.org/abs/1605.01749☆33Updated 9 years ago
- Automatic feature engineering using Generative Adversarial Networks using TensorFlow.☆51Updated 2 years ago
- ☆25Updated 9 years ago
- 🧹 Formerly for binary classification with noisy labels. Replaced by cleanlab.☆83Updated 3 years ago
- ☆74Updated 6 years ago
- Predicting treatment effects from RCTs (Circulation: CQO 2019).☆10Updated 3 years ago
- Implementation of Counterfactual risk minimization☆26Updated 8 years ago
- Preparing continuous features for neural networks with GaussRank☆45Updated 7 years ago
- Feature-Time Instability Metric☆44Updated 9 years ago
- Starter kit for getting started in the NIPS 2017 Criteo Ad Placement Challenge☆18Updated 7 years ago
- Code for the icml paper "zero inflated exponential family embedding"☆29Updated 7 years ago
- Deep Learning DTU summer school 2015☆23Updated 9 years ago
- Deployment instructions to get a GPU VM for the Deep Learning class☆18Updated 7 years ago
- Exponential family embeddings (Poisson or Bernoulli) for discrete data☆32Updated 6 years ago
- ☆27Updated 7 years ago
- ☆10Updated 9 years ago
- Experiments in Bayesian Machine Learning☆69Updated 6 years ago
- The notes and slides from my PyCon Ireland 2016 PyData talk an introduction to gradient boosting☆18Updated 8 years ago
- Scalable GP Adapter for Time Series Classification☆13Updated 8 years ago
- The winning solution to the Ad Placement Challenge (NIPS'17 Causal Inference and Machine Learning Workshop)☆38Updated 7 years ago
- Playing with various deep learning tools and network architectures☆70Updated 8 years ago
- A helper library for data science pipeline☆36Updated 6 years ago
- Scikit-learn API toy wrapper for Regularized Greedy Forests☆44Updated 9 years ago
- Winning solution for the Kaggle "West Nile Virus" competition (2015)☆30Updated 10 years ago
- PyTorch Flexible Hash Embeddings☆28Updated 5 years ago
- Sklearn implementation of GBM to predict mu(X) and std(X) on heteroscedastic data☆25Updated 9 years ago
- This contains my M.Tech project work on using Deep Leanring for learning graph representations. Data will be provided on request☆33Updated 8 years ago
- Columbia Advanced Machine Learning Seminar☆24Updated 7 years ago
- Some experiments into explaining complex black box ensemble predictions.☆74Updated 5 years ago