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[D] GPU buying recommendation
1 project | reddit.com/r/MachineLearning | 17 Jul 2021
If you just want to run tensorflow or pytorch for a Jupyter notebook, setting the environment shouldn't be difficult. I know that AWS has a marketplace of preconfigured images. However, you can go as advanced as setting up a cluster of gpu-equipped nodes to setup Horovod (https://github.com/horovod/horovod) to do distributed machine learning. Yes, there's a learning curve, but you cannot acquire this skillet any other way.
SKLean, TensorFlow, etc vs Spark ML?
1 project | reddit.com/r/apachespark | 12 Feb 2021
I'm the maintainer for an open source project called Horovod that allows you to distribute deep learning training (e.g., TensorFlow) on platforms like Spark.
Cluster machine learning
1 project | reddit.com/r/HPC | 11 Feb 2021
You'll want to use horovod to run keras in a distributed system. Then use Slurm to manage the cluster and run the job.
Has anyone successfully converted an onnx model to tensorflow? Here's the problems I'm having...
3 projects | reddit.com/r/tensorflow | 27 Oct 2021
Now, if you upload the onnx model and the generated saved_model/saved_model.pb into seperate Netron windows you can see that in the generated model's graph there is no information for the output node. There is no obvious input node. Also, any operators that you can find within the generated model's graph do not retain the name of the operators from the onnx graph such as Conv, Gemm etc.
Mobile Object Detection - Transfer Learning in Tensorflow.js
1 project | reddit.com/r/tensorflow | 11 Aug 2021
Hey man I was at the same position as you a few days ago. Wanted to start some model with transfer learning but finding it hard to find pretrained weights along with the model architecture. I went the route of using the Netron application (https://github.com/lutzroeder/netron) to visualize the model I wanted to use as base. It reads model files (.TFLite, .JSON (TFJS), and I think a few others too) and shows a graph of all the layers used and all the operations along with their weights.
Tesla’s AI chief Andrej Karpathy explains why they use cameras instead of lidar
2 projects | reddit.com/r/teslamotors | 6 Jul 2021
The image cuts off the efficientnet backbone and starts at feature extraction. If you want to see the full model you can download it and show it on netron. The mess in the middle are gru layers, they provide the memory of previous frames.
I'm looking for a tool that let's you visualize the models architecture like this. Any idea what it is called?
2 projects | reddit.com/r/deeplearning | 3 Jun 2021
Netron is a good visualisation tool. https://github.com/lutzroeder/netron
Trying to deploy a TeachableMachine model to TFLite Micro for Arduino Nano BLE 33
3 projects | reddit.com/r/computervision | 26 May 2021
7) Use https://netron.app/ to visualize the network and see what MicroOpsResolvers need to be included. Include as necessary.
[D] Best Way to Draw Neural Network Diagrams
2 projects | reddit.com/r/MachineLearning | 21 Jan 2021
Netron might be of interest https://github.com/lutzroeder/netron but it's more for exploration during model development than publication.
What are some alternatives?
petastorm - Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code.
pwnagotchi - (⌐■_■) - Deep Reinforcement Learning instrumenting bettercap for WiFi pwning.
DeepDanbooru - AI based multi-label girl image classification system, implemented by using TensorFlow.
openpilot - openpilot is an open source driver assistance system. openpilot performs the functions of Automated Lane Centering and Adaptive Cruise Control for over 100 supported car makes and models.
Synaptic.js - architecture-free neural network library for node.js and the browser
NudeNet - Neural Nets for Nudity Detection and Censoring
thinc - 🔮 A refreshing functional take on deep learning, compatible with your favorite libraries
AdamP - AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-invariant Weights (ICLR 2021)
pytorch-summary - Model summary in PyTorch similar to `model.summary()` in Keras
onepanel - The open source, end-to-end computer vision platform. Label, build, train, tune, deploy and automate in a unified platform that runs on any cloud and on-premises.
einops - Deep learning operations reinvented (for pytorch, tensorflow, jax and others)
deepdetect - Deep Learning API and Server in C++14 support for Caffe, Caffe2, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE