Jittor is a high-performance deep learning framework based on JIT compiling and meta-operators.
- Updated
Oct 22, 2026 - Python
Jittor is a high-performance deep learning framework based on JIT compiling and meta-operators.
(ImageNet pretrained models) The official pytorch implemention of the TPAMI paper "Res2Net: A New Multi-scale Backbone Architecture"
TensorLayerX: A Unified Deep Learning and Reinforcement Learning Framework for All Hardwares, Backends and OS.
Jittor and Pytorch code for paper "Deep Hough Transform for Semantic Line Detection" (ECCV 2020, PAMI 2021)
Subdivision-based Mesh Convolutional Networks.
Concealed Object Detection (SINet-V2, IEEE TPAMI 2022). Code is implemented by PyTorch/Jittor frameworks.
JSeg is a Semantic segmentation toolbox based on MMSegmentation and Jittor
Official website for "Video Polyp Segmentation: A Deep Learning Perspective (MIR 2022)"
JDiffusion is a diffusion model library for generating images or videos based on Diffusers and Jittor.
JDet is an object detection benchmark based on Jittor. Mainly focus on aerial image object detection (oriented object detection).
JGAN model zoo supports 27 kinds of mainstream GAN models with high speed for jittor.
Unofficial Implementation of MLP-Mixer, gMLP, resMLP, Vision Permutator, S2MLP, S2MLPv2, RaftMLP, HireMLP, ConvMLP, AS-MLP, SparseMLP, ConvMixer, SwinMLP, RepMLPNet, WaveMLP, MorphMLP, DynaMixer, MS-MLP, Sequencer2D in Jittor and PyTorch! Now, Rearrange and Reduce in einops.layers.jittor are support!! trunc_normal_ is supported for Jittor!! MLP …
[CVPR 2022] Code for StylizedNeRF: Consistent 3D Scene Stylization as Stylized NeRF via 2D-3D mutual learning
Deep Gradient Network for Camouflaged Object Detection (MIR 2023). Our codebase supports PyTorch & Jittor & Huawei-Ascend platforms..
Code for "OctField: Hierarchical Implicit Functions for 3D Modeling (NeurIPS 2021)"
Code for 'Single Image 3D Shape Retrieval via Cross-Modal Instance and Category Contrastive Learning', ICCV 2021