Training a Deep Learning Model for Echogram Semantic Segmentation
In this tutorial we build a deep-learning pipeline for echogram segmentation using open-source tools. Echograms are two-dimensional plots of acoustic echo intensity versus time and depth recorded using sonar instruments, in our case echosounders.
https://oceanstream.io/training-a-deep-learning-model-for-echogram-semantic-segmentation/
In this tutorial we build a deep-learning pipeline for echogram segmentation using open-source tools. Echograms are two-dimensional plots of acoustic echo intensity versus time and depth recorded using sonar instruments, in our case echosounders.
https://oceanstream.io/training-a-deep-learning-model-for-echogram-semantic-segmentation/
OceanStream
Training a Deep Learning Model for Echogram Semantic Segmentation
In this tutorial we build a deep‑learning pipeline for echogram segmentation using open‑source tools. Echograms are two‑dimensional plots of acoustic echo intensity versus time and depth recorded using sonar instruments, in our case echosounders.
Python 3.14 Is Here. How Fast Is It?
Python 3.14 delivers notable performance improvements, including up to 27% speedup in some benchmarks compared to Python 3.13, and enhanced free-threaded execution for better multithreading. The new release also adds features like syntax highlighting in the REPL and improved concurrency support.
https://blog.miguelgrinberg.com/post/python-3-14-is-here-how-fast-is-it
Python 3.14 delivers notable performance improvements, including up to 27% speedup in some benchmarks compared to Python 3.13, and enhanced free-threaded execution for better multithreading. The new release also adds features like syntax highlighting in the REPL and improved concurrency support.
https://blog.miguelgrinberg.com/post/python-3-14-is-here-how-fast-is-it
Miguelgrinberg
Python 3.14 Is Here. How Fast Is It?
In November of 2024 I wrote a blog post titled "Is Python Really That Slow?", in which I tested several versions of Python and noted the steady progress the language has been making in terms of…
👍1
How to Level Up Your Python Logs with Structlog
This Structlog guide covers configuration context JSON output error handling and OpenTelemetry integration to make your logs a useful signal for Observability.
https://www.dash0.com/guides/python-logging-with-structlog
This Structlog guide covers configuration context JSON output error handling and OpenTelemetry integration to make your logs a useful signal for Observability.
https://www.dash0.com/guides/python-logging-with-structlog
Dash0
How to Level Up Your Python Logs with Structlog · Dash0
This Structlog guide covers configuration context JSON output error handling and OpenTelemetry integration to make your logs a useful signal for Observability
PyTorch 2.9
PyTorch 2.9 introduces new features including a stable libtorch ABI for C++/CUDA extensions, symmetric memory programming for easy multi-GPU kernel development, and enhanced control over graph break handling in torch.compile. It expands wheel support for AMD ROCm, Intel XPU, and CUDA 13, adds FlexAttention optimizations on Intel GPUs and X86 CPUs, and improves Arm platform performance wi...
https://pytorch.org/blog/pytorch-2-9/
PyTorch 2.9 introduces new features including a stable libtorch ABI for C++/CUDA extensions, symmetric memory programming for easy multi-GPU kernel development, and enhanced control over graph break handling in torch.compile. It expands wheel support for AMD ROCm, Intel XPU, and CUDA 13, adds FlexAttention optimizations on Intel GPUs and X86 CPUs, and improves Arm platform performance wi...
https://pytorch.org/blog/pytorch-2-9/
Neural Networks: Simpler Than You Think
The post presents a straightforward implementation of a neural network from scratch in Python, explaining core concepts such as neurons, layers, weights, biases, activation functions, and training through backpropagation. It demonstrates building and training a simple neural network to approximate a sine wave, highlighting that despite its simplicity, the network can learn complex patter...
https://www.hamza.se/blog/neural-networks
The post presents a straightforward implementation of a neural network from scratch in Python, explaining core concepts such as neurons, layers, weights, biases, activation functions, and training through backpropagation. It demonstrates building and training a simple neural network to approximate a sine wave, highlighting that despite its simplicity, the network can learn complex patter...
https://www.hamza.se/blog/neural-networks
Hamza's Portfolio & Blog
Neural Networks: Simpler Than You Think | Hamza's Blog
A walkthrough of implementing a neural network from scratch in Python, exploring what makes these seemingly complex systems actually quite straightforward.
rightnow-cli
Claude Code for CUDA. Free AI assistant that actually understands GPU architecture.
https://github.com/RightNow-AI/rightnow-cli
Claude Code for CUDA. Free AI assistant that actually understands GPU architecture.
https://github.com/RightNow-AI/rightnow-cli
GitHub
GitHub - RightNow-AI/rightnow-cli: Claude Code for CUDA. Free AI assistant that actually understands GPU architecture
Claude Code for CUDA. Free AI assistant that actually understands GPU architecture - RightNow-AI/rightnow-cli
Buridan UI
Beautifully designed Reflex components to build your web apps faster. Open source.
https://github.com/buridan-ui/ui
Beautifully designed Reflex components to build your web apps faster. Open source.
https://github.com/buridan-ui/ui
GitHub
GitHub - buridan-ui/ui: Composable, themeable components designed for Reflex. Extend, override, and ship without fighting the framework.…
Composable, themeable components designed for Reflex. Extend, override, and ship without fighting the framework. Open source. - buridan-ui/ui
Handy Python REPL Modifications
The article describes custom modifications to the Python REPL to make it behave more like a favorite editor, including adding new keyboard shortcuts for code navigation, editing, and inserting example data structures. These changes, enabled through a PYTHONSTARTUP file and packaged in a library called pyrepl-hacks, enhance productivity by allowing quicker code writing and editing with si...
https://treyhunner.com/2025/10/handy-python-repl-modifications/
The article describes custom modifications to the Python REPL to make it behave more like a favorite editor, including adding new keyboard shortcuts for code navigation, editing, and inserting example data structures. These changes, enabled through a PYTHONSTARTUP file and packaged in a library called pyrepl-hacks, enhance productivity by allowing quicker code writing and editing with si...
https://treyhunner.com/2025/10/handy-python-repl-modifications/
Treyhunner
Handy Python REPL Modifications
I find myself in the Python REPL a lot. I open up the REPL to play with an idea, to use Python as a calculator or quick and dirty text parsing tool, …
TorchCurves - differentiable parametric curves in PyTorch
PyTorch parametric curves spanned by B-Splines or Legendre polynomials for KANs, Embeddings, or PDE solvers.
https://github.com/alexshtf/torchcurves
PyTorch parametric curves spanned by B-Splines or Legendre polynomials for KANs, Embeddings, or PDE solvers.
https://github.com/alexshtf/torchcurves
GitHub
GitHub - alexshtf/torchcurves: Parametric differentiable curves with PyTorch for KANs, continuous embeddings, or shape-restricted…
Parametric differentiable curves with PyTorch for KANs, continuous embeddings, or shape-restricted models - alexshtf/torchcurves
Killing the GIL: How To Use Python 3.14's Free-Threading Upgrade
The global interpreter lock (GIL) has been interfering with true parallelism in Python. That ends with Python 3.14.
https://www.neelsomaniblog.com/p/killing-the-gil-how-to-use-python
The global interpreter lock (GIL) has been interfering with true parallelism in Python. That ends with Python 3.14.
https://www.neelsomaniblog.com/p/killing-the-gil-how-to-use-python
Neelsomaniblog
Killing the GIL: How To Use Python 3.14's Free-Threading Upgrade
The global interpreter lock (GIL) has been interfering with true parallelism in Python. That ends with Python 3.14.
EdgeAI for Beginners
This course is designed to guide beginners through the exciting world of Edge AI, covering fundamental concepts, popular models, inference techniques, device-specific applications, model optimization, and the development of intelligent Edge AI agents.
https://github.com/microsoft/edgeai-for-beginners
This course is designed to guide beginners through the exciting world of Edge AI, covering fundamental concepts, popular models, inference techniques, device-specific applications, model optimization, and the development of intelligent Edge AI agents.
https://github.com/microsoft/edgeai-for-beginners
GitHub
GitHub - microsoft/edgeai-for-beginners: This course is designed to guide beginners through the exciting world of Edge AI, covering…
This course is designed to guide beginners through the exciting world of Edge AI, covering fundamental concepts, popular models, inference techniques, device-specific applications, model optimizati...
Autoswagger
A command-line tool designed to discover, parse, and test for unauthenticated endpoints using Swagger/OpenAPI documentation. It helps identify potential security issues in unprotected endpoints of APIs, such as PII leaks and common secret exposures.
https://github.com/intruder-io/autoswagger
A command-line tool designed to discover, parse, and test for unauthenticated endpoints using Swagger/OpenAPI documentation. It helps identify potential security issues in unprotected endpoints of APIs, such as PII leaks and common secret exposures.
https://github.com/intruder-io/autoswagger
GitHub
GitHub - intruder-io/autoswagger: Autoswagger by Intruder - detect API auth weaknesses
Autoswagger by Intruder - detect API auth weaknesses - intruder-io/autoswagger
What’s new in Python 3.15
This article explains the new features in Python 3.15, compared to 3.14.
https://docs.python.org/3.15/whatsnew/3.15.html
This article explains the new features in Python 3.15, compared to 3.14.
https://docs.python.org/3.15/whatsnew/3.15.html
Python documentation
What’s new in Python 3.15
Editor, Hugo van Kemenade,. This article explains the new features in Python 3.15, compared to 3.14. For full details, see the changelog. Summary – Release highlights: PEP 799: A dedicated profilin...
remoclip
A CLI tool for accessing your local clipboard from remote systems.
https://remoclip.newmatter.net
A CLI tool for accessing your local clipboard from remote systems.
https://remoclip.newmatter.net
Using Async Functions in Celery with Django Connection Pooling
The blog post explains how Celery, which currently does not support native async functions, can still integrate asynchronous Python code by using the asynctosync utility from asgiref to run async functions synchronously within Celery tasks. It also discusses alternative approaches, such as using a dedicated event loop to run async code inside Celery tasks, and mentions that full async ...
https://mrdonbrown.blogspot.com/2025/10/using-async-functions-in-celery-with.html
The blog post explains how Celery, which currently does not support native async functions, can still integrate asynchronous Python code by using the asynctosync utility from asgiref to run async functions synchronously within Celery tasks. It also discusses alternative approaches, such as using a dedicated event loop to run async code inside Celery tasks, and mentions that full async ...
https://mrdonbrown.blogspot.com/2025/10/using-async-functions-in-celery-with.html
Blogspot
Using Async Functions in Celery with Django Connection Pooling
We have a Django application and wanted to start writing async code. Thanks to recent Django versions, you can, but if you also use Celery, ...
ChatGPT Apps SDK: Your first MCP Server with Python, FastMCP, & FastAPI
The talk explains how to build an MCP server that integrates with ChatGPT using FastMCP and FastAPI. It covers setting up the Python environment, creating and running MCP tools (like a simple add function), and connecting the MCP server to ChatGPT through a public tunnel to enable ChatGPT to call custom functions, enhancing its capabilities with personalized context and tools.
https://www.youtube.com/watch?v=YAxA-7ZSn-0
The talk explains how to build an MCP server that integrates with ChatGPT using FastMCP and FastAPI. It covers setting up the Python environment, creating and running MCP tools (like a simple add function), and connecting the MCP server to ChatGPT through a public tunnel to enable ChatGPT to call custom functions, enhancing its capabilities with personalized context and tools.
https://www.youtube.com/watch?v=YAxA-7ZSn-0
YouTube
ChatGPT Apps SDK: Your first MCP Server with Python, FastMCP, & FastAPI
Want to go deeper? Fill out this survey: https://tally.cfe.sh/chatgpt-apps
Tunnels for live domains & https: https://youtu.be/Xv_d4Ta1mDE
Code: https://github.com/codingforentrepreneurs/chatgpt-apps-sdk-hello-world
Chapters:
00:00:00 Welcome
00:03:36 Developer…
Tunnels for live domains & https: https://youtu.be/Xv_d4Ta1mDE
Code: https://github.com/codingforentrepreneurs/chatgpt-apps-sdk-hello-world
Chapters:
00:00:00 Welcome
00:03:36 Developer…