Pinned Repositories
bqtorch
An implementation of Bayesian Quadrature based on GPytorch
fractional_neural_sde
Fractional White Noises for Neural Stochastic Differential Equations (NeurIPS 2022)
horseshoe_gp
hyper-opt
Bilevel Hyperparameter Optimization with Implicit Differentiation
nanoGPT-equinox
nanoGPT using Equinox
nn-gp-models
A collection of models having connections between Gaussian processes and neural networks
sigformer
SigFormer: Signature Transformer for Deep Hedging (ICAIF 2023)
sigkax
Implementation of Signature Kernel in JAX
signax
Signax: Signature computation in JAX
soft-dtw-jax
Soft-DTW implementation in JAX with custom gradient
anh-tong's Repositories
anh-tong/signax
Signax: Signature computation in JAX
anh-tong/fractional_neural_sde
Fractional White Noises for Neural Stochastic Differential Equations (NeurIPS 2022)
anh-tong/sigformer
SigFormer: Signature Transformer for Deep Hedging (ICAIF 2023)
anh-tong/bqtorch
An implementation of Bayesian Quadrature based on GPytorch
anh-tong/hyper-opt
Bilevel Hyperparameter Optimization with Implicit Differentiation
anh-tong/horseshoe_gp
anh-tong/nanoGPT-equinox
nanoGPT using Equinox
anh-tong/nn-gp-models
A collection of models having connections between Gaussian processes and neural networks
anh-tong/sigkax
Implementation of Signature Kernel in JAX
anh-tong/soft-dtw-jax
Soft-DTW implementation in JAX with custom gradient
anh-tong/anh-tong
Config files for my GitHub profile.
anh-tong/second
Some notes of second-order optimization, Hessian, Fisher matrix
anh-tong/anh-tong.github.io
A beautiful, simple, clean, and responsive Jekyll theme for academics
anh-tong/awesome-neural-ode
A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.
anh-tong/CSDI
Codes for "CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation"
anh-tong/diffrax
Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable.
anh-tong/edward
A library for probabilistic modeling, inference, and criticism. Deep generative models, variational inference. Runs on TensorFlow.
anh-tong/equinox
Callable PyTrees and filtered transforms => neural networks in JAX. https://docs.kidger.site/equinox/
anh-tong/eqxvision
A Python package of computer vision models for the Equinox ecosystem.
anh-tong/fBm
anh-tong/george
Solver for IBP latent Gaussian Process in Python
anh-tong/GPflow
Gaussian processes in TensorFlow
anh-tong/gpss-research
Relational Automatic Statistician for discovering shared kernels and disctintive kernels
anh-tong/levanter
Legibile, Scalable, Reproducible Foundation Models with Named Tensors and Jax
anh-tong/papers
Collection of papers
anh-tong/scalable-ibp-gp
anh-tong/scale-limit-hawkes
The difference of two point processes converges to Brownian motion
anh-tong/stan_playground
Play with Stan MC. Including some implementations of recent GP models
anh-tong/tensorflow
Computation using data flow graphs for scalable machine learning
anh-tong/TensorFlow-VAE-GAN-DRAW
A collection of generative methods implemented with TensorFlow (Deep Convolutional Generative Adversarial Networks (DCGAN), Variational Autoencoder (VAE) and DRAW: A Recurrent Neural Network For Image Generation).