We compared the performance of these GANs of Jittor and Pytorch. The picture below is the speedup ratio of Jittor relative to Pytorch. It can be seen that the highest acceleration ratio of these GANs reaches 283%, and the average acceleration ratio is 185%. In another form of presentation, ...
Jittor is a high-performance deep learning framework based on JIT compiling and meta-operators. https://zhuanlan.zhihu.com/p/114730651 - Ewenwan/jittor
TensorLayerX 是一个跨平台开发框架,支持TensorFlow, Pytorch, MindSpore, PaddlePaddle, OneFlow和Jittor,用户不需要修改任何代码即可以运行在各类操作系统和AI硬件上(如Nvidia-GPU 和 Huawei-Ascend),并支持混合框架的开发。 Python 1 0 0 TLX2ONNX TLX2ONNX enables users to convert models from TensorLayerX...
https://github.com/csuhan/s2anet ❖RoI Transformer: https://github.com/dingjiansw101/RoITransformer_DOTA ❖Faster R-CNN OBB:https://github.com/jessemelpolio/Faster_RCNN_for_DOTA ❖JDet: https://github.com/Jittor/JDet ❖yolov5_obb: https://github.com/hukaixuan19970627/yolov5_obb...
代码:https://github.com/IGLICT/DeepFaceDrawing-Jittor Learning to Simulate Dynamic Environments with GameGAN 这项研究由英伟达多伦多AI实验室和日本游戏大厂万代南梦宫 *BANDAI NAMCO) 一同开发,技术来自前者,数据来自后者。 简单来说,仅对简单的游戏录像和玩家输入进行学习,GameGAN 就能够模拟出接近真实游戏的环境,...
https://github.com/louisfb01/Best_AI_paper_2020#2 代码地址: https://github.com/IGLICT/DeepFaceDrawing-Jittor 3、英伟达研究人员用人工智能重新制作了《吃豆人》[3] 40 年前,《吃豆人》首次登陆日本的街机平台,并成为全球巨星,现在英伟达研究人员用人工智能重新制作了它。(https://blogs.nvidia.com/blog...
代码:https://github.com/IGLICT/DeepFaceDrawing-Jittor Learning to Simulate Dynamic Environments with GameGAN 这项研究由英伟达多伦多AI实验室和日本游戏大厂万代南梦宫 *BANDAI NAMCO) 一同开发,技术来自前者,数据来自后者。 简单来说,仅对简单的游戏录像和玩家输入进行学习,GameGAN 就能够模拟出接近真实游戏的环境,...