jittor
Res2Net-PretrainedModels
| jittor | Res2Net-PretrainedModels | |
|---|---|---|
| 4 | 1 | |
| 2,998 | 1,025 | |
| - | 0.0% | |
| 7.6 | 0.0 | |
| 9 days ago | over 1 year ago | |
| Python | Python | |
| Apache License 2.0 | - |
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jittor
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VSL; Vlang's Scientific Library
Would it make sense to have a backend support for OpenXLA, Apache TVM, Jittor or other similar to get free GPU, TPU and other accelerators for free ?
- Jittor: High-performance deep learning framework based on JIT and meta-operators
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Tinygrad: A simple and powerful neural network framework
Very similar idea as Jittor, convolution definitely can be break down: https://github.com/Jittor/jittor/blob/master/python/jittor/n...
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How do I deal with ML models taking soooo long to train, when I have to optimize results?
-I've found JIT quite useful: https://github.com/Jittor/jittor
Res2Net-PretrainedModels
What are some alternatives?
shumai - Fast Differentiable Tensor Library in JavaScript and TypeScript with Bun + Flashlight
yolov5 - YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
tvm - Open deep learning compiler stack for cpu, gpu and specialized accelerators
TransUNet - This repository includes the official project of TransUNet, presented in our paper: TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.
vsl - V library to develop Artificial Intelligence and High-Performance Scientific Computations
TensorLayerX - TensorLayerX: A Unified Deep Learning and Reinforcement Learning Framework for All Hardwares, Backends and OS.
StylizedNeRF - [CVPR 2022] Code for StylizedNeRF: Consistent 3D Scene Stylization as Stylized NeRF via 2D-3D mutual learning
pytorch-tutorial - PyTorch Tutorial for Deep Learning Researchers
nnabla - Neural Network Libraries
DeepFaceDrawing-Jittor
loop_tool - A thin, highly portable toolkit for efficiently compiling dense loop-based computation.
xla - A machine learning compiler for GPUs, CPUs, and ML accelerators