Pinned Repositories
ai-deadlines
:alarm_clock: AI conference deadline countdowns
ANCDE
Attentive Neural Controlled Differential Equations for Time-series Classification and Forecasting
ASTGNN
This is a Pytorch implementation of ASTGNN. Now the corresponding paper is available online at https://ieeexplore.ieee.org/document/9346058.
augmented-neural-odes
Pytorch implementation of Augmented Neural ODEs :sunflower:
Campus2024
2024届互联网校招信息汇总
CEGNCDE
CorrSTN
cvpr_dNRI
Code accompanying "Dynamic Neural Relational Inference" from CVPR 2020
diffrax
Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable.
torchdiffeq
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
TBhacker's Repositories
TBhacker/CEGNCDE
TBhacker/torchdiffeq
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
TBhacker/ai-deadlines
:alarm_clock: AI conference deadline countdowns
TBhacker/ANCDE
Attentive Neural Controlled Differential Equations for Time-series Classification and Forecasting
TBhacker/ASTGNN
This is a Pytorch implementation of ASTGNN. Now the corresponding paper is available online at https://ieeexplore.ieee.org/document/9346058.
TBhacker/Campus2024
2024届互联网校招信息汇总
TBhacker/CorrSTN
TBhacker/diffrax
Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable.
TBhacker/DLinear
This is an official implementation for "Are Transformers Effective for Time Series Forecasting?"
TBhacker/FasterNeuralDiffEq
Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)
TBhacker/gde
Neural Graph Differential Equations (Neural GDEs)
TBhacker/IT_book
本项目收藏这些年来看过或者听过的一些不错的常用的上千本书籍，没准你想找的书就在这里呢，包含了互联网行业大多数书籍和面试经验题目等等。有人工智能系列（常用深度学习框架TensorFlow、pytorch、keras。NLP、机器学习，深度学习等等），大数据系列(Spark,Hadoop,Scala,kafka等)，程序员必修系列（C、C++、java、数据结构、linux，设计模式、数据库等等）
TBhacker/mTAN
Code for "Multi-Time Attention Networks for Irregularly Sampled Time Series", ICLR 2021.
TBhacker/MTGNN
TBhacker/neural-flows-experiments
Experiments for Neural Flows paper
TBhacker/Neural-SPDEs
TBhacker/NeuralCDE
Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)
TBhacker/NeuralLaplace
Neural Laplace: Differentiable Laplace Reconstructions for modelling any time observation with O(1) complexity.
TBhacker/neuralRDEs
Code for: "Neural Rough Differential Equations for Long Time Series", (ICML 2021)
TBhacker/PDFormer
[AAAI2023] A PyTorch implementation of PDFormer: Propagation Delay-aware Dynamic Long-range Transformer for Traffic Flow Prediction.
TBhacker/Permutation-Entropy
TBhacker/Raindrop
Graph Neural Networks for Irregular Time Series
TBhacker/snopt
Second-Order Neural ODE Optimizer, NeurIPS 2021 spotlight
TBhacker/STG-NCDE
"Graph Neural Controlled Differential Equations for Traffic Forecasting", AAAI 2022
TBhacker/TBhacker.github.io
TBhacker/TE-CDE
Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations
TBhacker/torch_base
Quickly bring up your PyTorch project(a skeleton)
TBhacker/torchcde
Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.
TBhacker/torchode
A parallel ODE solver for PyTorch
TBhacker/windy-afternoon
Gitbook based Blog, Android, Linux, Deep Learning, Computer Vision