deepo
optimizer
deepo | optimizer | |
---|---|---|
1 | 2 | |
6,314 | 589 | |
- | 1.2% | |
3.0 | 6.1 | |
over 1 year ago | about 2 months ago | |
Python | C++ | |
MIT License | Apache License 2.0 |
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deepo
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Base image with both PyTorch and Tensorflow?
I found an image though, though there's some setup involved: https://github.com/ufoym/deepo
optimizer
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Operationalize TensorFlow Models With ML.NET
If you happen to start with an ONNX model that you still want to optimize, then you can use the official ONNX optimizer tool https://github.com/onnx/optimizer.
- replika-research/how_we_moved_from_openai.pdf at master ยท lukalabs/replika-research
What are some alternatives?
einops - Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
replika-research - Replika.ai Research Papers, Posters, Slides & Datasets
netron - Visualizer for neural network, deep learning and machine learning models
yolov5 - YOLOv5 ๐ in PyTorch > ONNX > CoreML > TFLite
torchinfo - View model summaries in PyTorch!
yolov3 - YOLOv3 in PyTorch > ONNX > CoreML > TFLite
MMdnn - MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.
Operationalize.ML.NET
Jetson-Nano-Ubuntu-20-image - Jetson Nano with Ubuntu 20.04 image
algobot - Cryptocurrency trading bot with a graphical user interface with support for simulations, backtests, optimizations, and running live bots.
zipslicer - A library for incremental loading of large PyTorch checkpoints
YOLOX - YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/