1danielr / auto-gbLinks
Automatic Differentiation for Gradient Boosted Decision Trees.
☆13Updated 3 years ago
Alternatives and similar repositories for auto-gb
Users that are interested in auto-gb are comparing it to the libraries listed below
Sorting:
- PaloBoost is an overfitting-robust Gradient Boosting algorithm.☆15Updated 5 years ago
- Massively Parallel and Asynchronous Architecture for Logic-based AI☆43Updated 2 years ago
- Public Implementation of Volatility Based Kernels and Moving Average Means for Accurate Forecasting with Gaussian Processes☆49Updated 3 years ago
- OpenAI's cartpole env solver.☆18Updated 6 years ago
- Gradient Boosting Modules for pytorch☆44Updated last week
- Easy Nearest Neighbor Estimation of Mutual Information☆37Updated 10 months ago
- Bayesian Bandits☆68Updated 2 years ago
- Causal Impact but with MFLES and conformal prediction intervals☆33Updated 8 months ago
- esig python package☆48Updated 9 months ago
- Conformal Prediction for Time Series with Modern Hopfield Networks☆79Updated 3 months ago
- A Python library for machine-learning and feedback loops on streaming data☆62Updated 2 years ago
- Simple, extensible implementations of some meta-learning algorithms in Jax☆10Updated 4 years ago
- A Python package of computer vision models for the Equinox ecosystem.☆109Updated last year
- Code for PCMCI-Ω algorithm from the NeurIPS'23 paper "Causal Discovery in Semi-Stationary Time Series"☆18Updated 11 months ago
- High performance implementation of Deep neuroevolution in pytorch using mpi4py. Intended for use on HPC clusters☆27Updated 3 years ago
- Documentation:☆122Updated 2 years ago
- Elo ratings for global black box derivative-free optimizers☆141Updated 7 months ago
- Bayesian Inference and parameter estimation in quant finance.☆42Updated 6 years ago
- Image augmentation library for Jax☆40Updated last year
- Methods for online conformal prediction.☆115Updated 4 months ago
- Serialize JAX, Flax, Haiku, or Objax model params with 🤗`safetensors`☆46Updated last year
- JAX-LOB: A GPU-Accelerated limit order book simulator to unlock large scale reinforcement learning for trading☆30Updated last year
- Deep Critical Learning. Implementation of ProSelfLC, IMAE, DM, etc.☆31Updated 2 years ago
- ☆21Updated 5 years ago
- A small library for creating and manipulating custom JAX Pytree classes☆56Updated 2 years ago
- ☆17Updated 5 months ago
- Bayesian optimization of discrete sequences☆21Updated 3 years ago
- Democratizing Index Tracking for Small Investors in Europe: A Meta-Learning Method for Sparse Portfolio Optimization☆83Updated 2 years ago
- Bayesian inference for a logistic regression model in various languages☆42Updated 2 years ago
- Performant, composable online learning☆15Updated 4 years ago