hiparkgss

convolution_as_multiplication

Step by step explanation of 2D convolution implemented as matrix multiplication using toeplitz matrices

CSES_Problem_practice

datasets

🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

deepbayes-2019

Practical assignments of the Deep|Bayes summer school 2019

github-slideshow

A robot powered training repository :robot:

hamiltonian-nn

Code for our paper "Hamiltonian Neural Networks"

latent_ode

Code for "Latent ODEs for Irregularly-Sampled Time Series" paper

materials

Bonus materials, exercises, and example projects for our Python tutorials

mTAN

Code for "Multi-Time Attention Networks for Irregularly Sampled Time Series", ICLR 2021.

nanoGPT

The simplest, fastest repository for training/finetuning medium-sized GPTs.

hiparkgss/convolution_as_multiplication

Step by step explanation of 2D convolution implemented as matrix multiplication using toeplitz matrices

hiparkgss/CSES_Problem_practice

hiparkgss/datasets

🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

hiparkgss/deepbayes-2019

Practical assignments of the Deep|Bayes summer school 2019

hiparkgss/github-slideshow

A robot powered training repository :robot:

hiparkgss/hamiltonian-nn

Code for our paper "Hamiltonian Neural Networks"

hiparkgss/latent_ode

Code for "Latent ODEs for Irregularly-Sampled Time Series" paper

hiparkgss/materials

Bonus materials, exercises, and example projects for our Python tutorials

hiparkgss/mTAN

Code for "Multi-Time Attention Networks for Irregularly Sampled Time Series", ICLR 2021.

hiparkgss/nanoGPT

The simplest, fastest repository for training/finetuning medium-sized GPTs.

hiparkgss/natural-posterior-network

Official Implementation of "Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions" (ICLR, 2022)

hiparkgss/neural-tangents

Fast and Easy Infinite Neural Networks in Python

hiparkgss/nocedal_problem_set

hiparkgss/pi_numerical_analysis

hiparkgss/PRMLT

Matlab code for machine learning algorithms in book PRML

hiparkgss/Project_Euler_coding_practice

hiparkgss/Regression-as-Classification

Code for paper: Regression as Classification: Influence of Task Formulation on Neural Network Features

hiparkgss/requests-for-research

A living collection of deep learning problems

hiparkgss/semi-supervised-pytorch

Implementations of various VAE-based semi-supervised and generative models in PyTorch

hiparkgss/SGPA

Example code of Sparse Gaussian Process Attention (ICLR 2023)

hiparkgss/stats-intro

hiparkgss/tensor2tensor

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

hiparkgss/torchdiffeq

Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

hiparkgss/Warpformer