eogns282

IMODE

Neural Ordinary Differential Equations for Intervention Modeling

ANP

byol_multi_temp

anhp-andtt

Codebase for Attentive Neural Hawkes Process (A-NHP) and Attentive Neural Datalog Through Time (A-NDTT)

bayesian-machine-learning

Notebooks about Bayesian methods for machine learning

bnp

Pytorch implementation of neural processes and variants

chronos-forecasting

Chronos: Pretrained (Language) Models for Probabilistic Time Series Forecasting

CSDI

Codes for "CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation"

deq

[NeurIPS'19] Deep Equilibrium Models

ETDataset

The Electricity Transformer dataset is collected to support the further investigation on the long sequence forecasting problem.

fft-conv-pytorch

Implementation of 1D, 2D, and 3D FFT convolutions in PyTorch. Much faster than direct convolutions for large kernel sizes.

FLOW_paper

gpconvcnp

Code for "GP-ConvCNP: Better Generalization for Convolutional Conditional Neural Processes on Time Series Data"

H3

Language Modeling with the H3 State Space Model

hierarchical-disentanglement

Code for Benchmarks, Algorithms, and Metrics for Hierarchical Disentanglement

lm-human-preferences

Code for the paper Fine-Tuning Language Models from Human Preferences

mathematics-roadmap

A Comprehensive Roadmap to Mathematics

minimalRL

Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

MLPInit-for-GNNs

[ICLR 2023] MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization

Neural-Process-Family

Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.

neural-processes

Pytorch implementation of Neural Processes for functions and images :fireworks:

neural_stpp

Deep generative modeling for time-stamped heterogeneous data, enabling high-fidelity models for a large variety of spatio-temporal domains.

neuralcollapse

Code reproducing Neural Collapse phenomenon on MSE and cross-entropy loss

PhiFlow

Research-oriented differentiable fluid simulation framework

practical-python

Practical Python Programming (course by @dabeaz)

state-spaces

Sequence Modeling with Structured State Spaces

temptempsk

text_ood_temp

Transformer-Hawkes-Process

Code for Transformer Hawkes Process, ICML 2020.

trlx

A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)