Jittor is a high-performance deep learning framework based on JIT compiling and meta-operators.
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Updated
May 31, 2024 - 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"
Jittor and Pytorch code for paper "Deep Hough Transform for Semantic Line Detection" (ECCV 2020, PAMI 2021)
JGAN model zoo supports 27 kinds of mainstream GAN models with high speed for jittor.
Concealed Object Detection (SINet-V2, IEEE TPAMI 2022). Code is implemented by PyTorch/Jittor frameworks.
TensorLayerX: A Unified Deep Learning and Reinforcement Learning Framework for All Hardwares, Backends and OS.
Subdivision-based Mesh Convolutional Networks.
JDet is an object detection benchmark based on Jittor. Mainly focus on aerial image object detection (oriented object detection).
Official website for "Video Polyp Segmentation: A Deep Learning Perspective (MIR 2022)"
Deep Gradient Network for Camouflaged Object Detection (MIR 2023). Our codebase supports PyTorch & Jittor & Huawei-Ascend platforms..
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
JSeg is a Semantic segmentation toolbox based on MMSegmentation and Jittor
Code for 'Single Image 3D Shape Retrieval via Cross-Modal Instance and Category Contrastive Learning', ICCV 2021
Pre-trained backbones for TensorLayerX
Code for "OctField: Hierarchical Implicit Functions for 3D Modeling (NeurIPS 2021)"
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