xuejy19

dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

ShiArthur03

data-release

This is the repository of the Huawei Public Cloud and Huawei Private Cloud datasets.

cluster-data

Borg cluster traces from Google

LLMSurvey

The official GitHub page for the survey paper "A Survey of Large Language Models".

LM

A Python module to train simple multi-layer perceptron neural networks using Levenberg-Marquardt training

SportsSloMo

SportsSloMo: A New Benchmark and Baseline Models for Human-centric Video Frame Interpolation, CVPR 2024 (https://arxiv.org/abs/2308.16876)

AMT

Official code for "AMT: All-Pairs Multi-Field Transforms for Efficient Frame Interpolation" (CVPR2023)

UPR-Net

Official implementation of our CVPR2023 paper "A Unified Pyramid Recurrent Network for Video Frame Interpolation"

Video-Frame-Interpolation-Transformer

ExtraNet

ExtraNet: Real-time Extrapolated Rendering for Low-latency Temporal Supersampling

SATNet

Bridging deep learning and logical reasoning using a differentiable satisfiability solver.

Exploring-Discontinuity-for-VFI

[CVPR 2023] Exploring Discontinuity for Video Frame Interpolation Official, Highlight

Practical-RIFE

We are developing more practical approach for users based on RIFE.

CAIN

Source code for AAAI 2020 paper "Channel Attention Is All You Need for Video Frame Interpolation"

dl-4-tsc

Deep Learning for Time Series Classification

Spike-FlowNet

VideoFlow

Official implementation of ICCV2023 VideoFlow: Exploiting Temporal Cues for Multi-frame Optical Flow Estimation

sorobn

🧮 Bayesian networks in Python

pyBN

Bayesian Networks in Python

ABL-HED

Handwritten Equations Decipherment with Abductive Learning

OpenSTL

OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning

SimVP

The official implementation of the CVPR'22 paper SimVP: Simpler Yet Better Video Prediction.

rife-ncnn-vulkan

RIFE, Real-Time Intermediate Flow Estimation for Video Frame Interpolation implemented with ncnn library

lianjia-beike-spider

链家网和贝壳网房价爬虫，采集北京上海广州深圳等21个**主要城市的房价数据（小区，二手房，出租房，新房），稳定可靠快速！支持csv,MySQL, MongoDB,Excel, json存储，支持Python2和3，图表展示数据，注释丰富 ，点星支持，仅供学习参考，请勿用于商业用途，后果自负。

Nonstationary_Transformers

Code release for "Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting" (NeurIPS 2022), https://arxiv.org/abs/2205.14415

LSTNet

Debutanizer

Prediction of the C4 content in the bottoms of a debutanizer column

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

RepVGG

RepVGG: Making VGG-style ConvNets Great Again