Samuel Holt's repositories
NeuralLaplace
Neural Laplace: Differentiable Laplace Reconstructions for modelling any time observation with O(1) complexity.
DeepGenerativeSymbolicRegression
Deep Generative Symbolic Regression Code
NeuralLaplaceControl
Neural Laplace Control for Continuous-time Delayed Systems - an offline RL method combining Neural Laplace dynamics model and MPC planner to achieve near-expert policy performance in environments with irregular time intervals and an unknown constant delay.
ActiveObservingInContinuous-timeControl
Active Observing in Continuous-time Control
ODE-Discovery-for-Longitudinal-Heterogeneous-Treatment-Effects-Inference
ODEDiscoveryforLongitudinalHeterogeneousTreatmentEffectsInference
market-making-backtest
algo trading backtesting on BitMEX
complexPyTorch
A high-level toolbox for using complex valued neural networks in PyTorch
deep-learning-time-series
List of papers, code and experiments using deep learning for time series forecasting
latent_ode
Code for "Latent ODEs for Irregularly-Sampled Time Series" paper
neural-flows-experiments
Experiments for Neural Flows paper
NeuralSymbolicRegressionThatScales
Source code and Dataset creation for the paper "Neural Symbolic Regression That Scales"
scikit-optimize
Sequential model-based optimization with a `scipy.optimize` interface
CausalTransformer
Code for the paper "Causal Transformer for Estimating Counterfactual Outcomes"
cleanrl
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
Counterfactual-Recurrent-Network
Code for ICLR 2020 paper: "Estimating counterfactual treatment outcomes over time through adversarially balanced representations" by I. Bica, A. M. Alaa, J. Jordon, M. van der Schaar
D-CODE-ICLR-2022
D-CODE: Discovering Closed-form ODEs from Observed Trajectories
gymnax
RL Environments in JAX 🌍
gymnax-blines
Baselines for gymnax 🤖
nerfstudio
A collaboration friendly studio for NeRFs
pysindy
A package for the sparse identification of nonlinear dynamical systems from data
SI-AIEP-paper
Code repository for the paper "Adoption of Machine Learning in Pharmacometrics: An Overview of Recent Implementations and Their Considerations".
stable-baselines3
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
TE-CDE
Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations (ICML 2022)
tianshou
An elegant PyTorch deep reinforcement learning library.