- JittorLLMs: With the release of ChatGPT, large language models have been evolving rapidly. While many excellent LLM projects have emerged in China, the high hardware requirements and complex environments can be a barrier. Led by Feishi Technology and co-developed with the Visual Media Research Center at Tsinghua University, JittorLLMs is an LLM inference library intended to provide software and hardware support for LLM research.
- GAN: The Jittor GAN model zoo includes 27 mainstream GAN models from 2014 to 2019. These 27 GAN papers have been cited 60,953 times in total, with an average of 2,176 citations per paper.
- Instance Segmentation: The Jittor instance segmentation model library includes 6 backbones and 11 detection/segmentation models, covering the classic Mask R-CNN series, real-time instance segmentation networks, human segmentation networks, and more.
- Semantic Segmentation: Jittor supports mainstream semantic segmentation algorithms, including three classic backbones and six common segmentation models.
- Point Cloud: The point cloud model library includes several influential models: PointNet, PointNet++, PointCNN, DGCNN, and PointConv, supporting classification and segmentation.
- Differentiable Rendering: Differentiable rendering has been widely used in 3D reconstruction, including human reconstruction, face reconstruction, and 3D attribute estimation. Jrender supports differentiable surface rendering and differentiable volume rendering.
- Remote Sensing Detection: JDet is a remote-sensing object detection library based on Jittor. It currently provides four mainstream methods: S2ANet, Gliding, RetinaNet, and Faster R-CNN, with more models to be added.
- Medical Image Segmentation: Jittor Medical Segmentation Lib -- The assignment of Pattern Recognition course (2021 Spring) in Tsinghua University.
- PCT: This is a Jittor implementation of PCT: Point Cloud Transformer.
- DeepFaceDrawing: One version of our system is implemented using the Jittor, and you need to install Jittor first. We will also provide a version in pytorch.
- JittorVis: JittorVis is an open-source library for understanding the inner workings of Jittor models by visually illustrating their dataflow graphs.
- PraNet: Parallel Reverse Attention Network for Polyp Segmentation.
- DeepFaceEditing: Deep Face Generation and Editing with Disentangled Geometry and Appearance Control.
- SINet-V2: Concealed Object Detection (SINet-V2, IEEE TPAMI 2021). Code using Jittor Framework is available.
- hlagcn: Jittor implementation of the paper "Hierarchical Layout-Aware Graph Convolutional Network for Unified Aesthetics Assessment".
- Jittor-Image-Models: About
Jittor Image Models is a library for pulling together a wide variety of SOTA deep learning models in the Jittor framework.
- LearnJittorBasicIn60Min: A zero-to-one quickstart tutorial for Jittor (60 minutes).
- di-fusion-network-jittor: Jittor implementation of the network architecture in DI-Fusion: Online Implicit 3D Reconstruction with Deep Priors.
- Zhusuan: Zhusuan with backend Jittor.
- PRS-Net: This repository is code release for PRS-Net: Planar Reflective Symmetry Detection Net for 3D Models.
- PFSegNets: This repo contains the the implementation of CVPR-2021 work: PointFlow: Flowing Semantics Through Points for Aerial Image Segmentation by Jittor.
- APDrawingGAN: We provide Jittor implementations for our CVPR 2019 oral paper "APDrawingGAN: Generating Artistic Portrait Drawings from Face Photos with Hierarchical GANs".
- APDrawingGAN2: We provide Jittor implementations for our TPAMI 2020 paper "Line Drawings for Face Portraits from Photos using Global and Local Structure based GANs".
- CMIC-Retrieval: Code for Single Image 3D Shape Retrieval via Cross-Modal Instance and Category Contrastive Learning. ICCV 2021.
- Unpaired-Portrait-Drawing: We provide Jittor implementations for our CVPR 2020 paper "Unpaired Portrait Drawing Generation via Asymmetric Cycle Mapping".
- Jittor-MLP: Unofficial Implementation of MLP-Mixer, gMLP, resMLP, Vision Permutator, S2MLPv2, ConvMLP, ConvMixer in Jittor.
