Implementation of the ESIM model for natural language inference with PyTorch

[ICLR 2023] ReAct: Synergizing Reasoning and Acting in Language Models

Point Transformers

Official codes for ECCV2024 paper: RISurConv: Rotation Invariant Surface Attention-Augmented Convolutions for 3D Point Cloud Classification and Segmentation

Collect and summarize point cloud sota methods.

An official implementation of "CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-Tuning" (AAAI 2025)

[ICLR 2024] Official implementation of " 🦙 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"

Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting" (ICLR 2024 Spotlight), https://openreview.net/forum?id=JePfAI8fah

DeepLab resnet v2 model in pytorch

Neural image compression models optimized for Mask R-CNN from paper "Boosting Neural Image Compression for Machines Using Latent Space Masking" published in 2022

Official Implementation for (ICML 2023) Bit Allocation using Optimization

SSSegmentation: An Open Source Supervised Semantic Segmentation Toolbox Based on PyTorch.

Semantic Segmentation in Pytorch. Network include: FCN、FCN_ResNet、SegNet、UNet、BiSeNet、BiSeNetV2、PSPNet、DeepLabv3_plus、 HRNet、DDRNet

This repo is implementation for Learned Image Compression with Discretized Gaussian Mixture Likelihoods and Attention Modules in pytorch.

Spatio-Temporal Entropy Model (STEM) for end-to-end leaned video compression.

Unofficial pytorch implementation of CVPR2021 paper "Checkerboard Context Model for Efficient Learned Image Compression".

关于视频编解码学习资料

YAECL: Yet Another Entropy Coding Library for Neural Compression Research, with Arithmetic Coding and Asymmetric Numeral Systems support

Structure-Preserving Motion Estimation for Learned Video Compression

Paper list: deep learning based video compression

Bjontegaard metric calculation. Include BD-PSNR and BD-rate

IJCAI2022