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ddv

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Mojo Docs

docs.modular.com
1 points·by ddv·vor 3 Jahren·0 comments

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ddv
·vor 2 Jahren·discuss
Same here. Both copies I ordered were not working on arrival. I tried to switch the batteries but they were really stuck in there (can’t easily remove them without bending/breaking), eventually got them out and replaced them but one of the copies still didn't work. Reached out to the creator but he just said try swapping the batteries. I still think the idea of the book is great, just wish the execution and support were better.
ddv
·vor 3 Jahren·discuss
Location: Vancouver, Canada Remote: Yes Willing to relocate: No.

I'm an experienced machine learning engineer, software developer, and author of 2 patents in ML/AI. I'm an EGBC-licensed professional engineer and I have a BASc in Mechatronics Engineering and 10 years of overall experience in software development. I've developed and shipped end-to-end machine learning products and features across different platforms (web services, mobile apps, and embedded systems). I enjoy building practical machine learning systems from prototype to production that have a positive impact on people's lives.

Thanks for your time.

Technologies:

DL/ML: PyTorch, Tensorflow, Keras, data pipelines, ONNX, TFLite, Scikit-learn, OpenCV, OpenAI Api, Huggingface Transformers, Librosa, PyWavelets

Mobile ML: Swift, CoreML, iOS development

Data science: Pandas, NumPy, SciPy, Jupyter Notebook, Colab, Seaborn, Chart.js, Streamlit, Airflow, Dagster

Backend: Python, C++, Django, Flask, FastAPI, SQLite, PostgreSQL, REST, Docker

Embedded Software: C, Bare metal software development, TinyML, RTOS, Embedded Linux

Cloud: AWS, GCP, Linode

Website: https://dmitridevaz.com
ddv
·vor 4 Jahren·discuss
https://ciechanow.ski/gps/

https://ciechanow.ski/archives/
ddv
·vor 4 Jahren·discuss
Clear and concise write-up, thanks for posting. I especially appreciate the comparative graph at the end.

In practice, I tend to use "method 3" most of the time as I feel it has the best balance of complexity and practicality while still being able to deal with label noise.
ddv
·vor 5 Jahren·discuss
"Is there plan to support sparse NN influence on mobile devices, such as Arm CPUs?"

"Based on the amount of work for support, it's on our medium to long-term roadmap currently."

https://github.com/neuralmagic/deepsparse/issues/183