cakcora / CoinWorks

Related projects: ⓘ

• xiaojunxu / nsvm
  Supporting repository for ICLR 2017 paper submission.
  ☆17Updated 7 years ago
• kumkee / SURF2016
  ☆15Updated 6 years ago
• guaguakai / surrogate-optimization-learning
  ☆15Updated 3 years ago
• alan-turing-institute / rbocpdms
  Robust bayesian online changepoint detection with model selection
  ☆23Updated 5 years ago
• iankurgarg / Reinforcement-Learning-Feature-Selection
  Feature selection for maximizing expected cumulative reward
  ☆29Updated 6 years ago
• pankajk / Deep-Graph-Kernels
  Deep Graph Kernels
  ☆13Updated 8 years ago
• yuqirose / TensorRNN
  Source repo for tensor-train recurrent neural network for long-term forecasting
  ☆8Updated 6 years ago
• achab / nphc
  NPHC
  ☆14Updated 3 years ago
• vveitch / causal-embeddings
  Code for "Using Embeddings to Correct for Unobserved Confounding"
  ☆10Updated 5 years ago
• MathiasKraus / FinancialDeepLearning
  Decision support from financial disclosures with deep neural networks and transfer learning
  ☆39Updated 6 years ago
• MehdiAbbanaBennani / reinforcement-learning-on-blackjack
  On-Policy Model-free Reinforcement Learning for simplified Blackjack (David Silver Assignement)
  ☆11Updated 6 years ago
• jheusser / hawkes
  Hawkes Process Estimation
  ☆47Updated 10 years ago
• bobflagg / gibbs-sampling-for-the-uninitiated
  Python implementation of Gibbs sampling for the naı̈ve Bayes model presented by Resnik and Hardisty
  ☆14Updated 6 years ago
• arbenson / cflp
  Code for core-fringe link prediction
  ☆11Updated 5 years ago
• wooden-spoon / relational-ERM
  Software relating to relational empirical risk minimization
  ☆17Updated 3 years ago
• graphreason / graphreason.github.io
  Learning and Reasoning with Graph-Structured Data (ICML 2019 Workshop)
  ☆26Updated 5 years ago
• indiejoseph / tf-rda-cell
  Recurrent Discounted Attention unit (RDA) for Tensorflow
  ☆22Updated 6 years ago
• zli37 / bayesianRuleSet
  Using Bayesian inference to mine rule sets
  ☆10Updated 4 years ago
• euclidjda / dnn-quant
  Tool for building deep / recurrent neural network models for systematic fundamental investing.
  ☆17Updated 7 years ago
• Sidcito / Financial_Crash_Landscape_Analysis_using_TDA
  Topological Data Analysis of a Financial Time Series for insights from Landscapes for detecting Financial Crashes
  ☆10Updated 6 years ago
• WenchenLi / q-learning-trader
  tabular q learning for trading
  ☆10Updated 5 years ago
• alan-turing-institute / rPSMF
  Code for Probabilistic Sequential Matrix Factorization
  ☆15Updated 3 years ago
• tomlinsonk / choice-set-opt
  Code accompanying our ICML 2020 paper on choice set optimization in group decision-making.
  ☆11Updated 4 years ago
• TomZahavy / CB_AE_DQN
  Contextual Bandits Action Elimination DQN
  ☆19Updated 6 years ago
• sameerlal / MarketMakingGame
  Python version of: https://github.com/sameerlal/OMakeMeAMarket
  ☆23Updated last year
• counterfactual-ml / kdd2022-tutorial
  Counterfactual Evaluation and Learning for Interactive Systems: Foundations, Implementations, and Recent Advances
  ☆12Updated 2 years ago
• abrvkh / WaveNet_simple
  A simple implementation of the WaveNet model for time series forecasting
  ☆26Updated 6 years ago
• fated / libcp
  LibCP -- A Library for Conformal Prediction
  ☆11Updated 9 years ago
• chyikwei / bnp
  Bayesian nonparametric models for python
  ☆17Updated 6 years ago
• vsuriya93 / Deep-Learning-for-Graph-Representations
  This contains my M.Tech project work on using Deep Leanring for learning graph representations. Data will be provided on request
  ☆33Updated 7 years ago