pytorch-lightning
postgrest
pytorch-lightning | postgrest | |
---|---|---|
19 | 100 | |
19,188 | 22,342 | |
- | 1.5% | |
9.9 | 9.7 | |
almost 2 years ago | 7 days ago | |
Python | Haskell | |
Apache License 2.0 | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
pytorch-lightning
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Problem with pytorch lightning and optuna with multiple callbacks
def on_validation_end(self, trainer: Trainer, pl_module: LightningModule) -> None: # Trainer calls `on_validation_end` for sanity check. Therefore, it is necessary to avoid # calling `trial.report` multiple times at epoch 0. For more details, see # https://github.com/PyTorchLightning/pytorch-lightning/issues/1391. if trainer.sanity_checking: return
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Please comment on my planned research project structure
Under the hood, the ModelWrapper object will create a ML model based on the config (so far, an XGBoost model and a PyTorch Lightning model). Each of those will have a wrapper that conducts training and evaluation (since from my understanding of Lightning, Trainers are required to be outside of the class). In lack of a better name, I call these wrappers Fitters. For uniformity, I thought about adding a common interface IFitter, which is inherited by all model wrappers as outlined below.
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Watch out for the (PyTorch) Lightning
Join their Slack to ask the community questions and check out the GitHub here.
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[P] Composer: a new PyTorch library to train models ~2-4x faster with better algorithms
Pytorch lightning benchmarks against pytorch on every PR (benchmarks to make sure that it is mot slower.
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[D] What Repetitive Tasks Related to Machine Learning do You Hate Doing?
There is already a ton of momentum around automating ML workflows. I would suggest you contribute to a preexisting project like, for instance, PyTorch Lightning or fast.ai.
- PyTorch Lightening
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[D] Are you using PyTorch or TensorFlow going into 2022?
Is the problem the sheer number of options, or the fact that they are all together in one place? Would it be better if they were organized into the different trainer entrypoints (fit, validate, ...)? If that is the case, there was an RFC proposing this which you might find interesting, feel free to drop by and comment on the issue: https://github.com/PyTorchLightning/pytorch-lightning/issues/10444
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[D] Colab TPU low performance
I wanted to make a quick performance comparison between the GPU (Tesla K80) and TPU (v2-8) available in Google Colab with PyTorch. To do so quickly, I used an MNIST example from pytorch-lightning that trains a simple CNN.
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[D] How to avoid CPU bottlenecking in PyTorch - training slowed by augmentations and data loading?
We've noticed GPU 0 on our 3 GPU system is sometimes idle (which would explain performance differences). However its unclear to us why that may be. Similar to this issue
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[P] An introduction to PyKale https://github.com/pykale/pykale, a PyTorch library that provides a unified pipeline-based API for knowledge-aware multimodal learning and transfer learning on graphs, images, texts, and videos to accelerate interdisciplinary research. Welcome feedback/contribution!
If you want a good example for reference, take a look at Pytorch Lightning's readme (https://github.com/PyTorchLightning/pytorch-lightning) It answers the 3 questions of "what is this", "why should I care", and "how do i use it" almost instantly
postgrest
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Supabase – General Availability Week
hey hn, supabase ceo her
we just announced GA, after ~4 years of beta. for those who don't know: supabase is a postgres hosting company. we also host other open source "backend" tools that make it easy to get started with postgres (tools like PostgREST for auto-generate APIs [0])
we owe a lot to the HN community. you launched us 4 years ago [1], when we were just a few developers. since then HN has been a staple in our journey, one of the best sources of product feedback [2]
the GA badge is mostly to signify organizational readiness. we're at a stage where we can take any profile of customer. we have a support team that works 24/7, and a success team that will help customers improve their postgres usage. we released our Index Advisor [3] yesterday, and we'll be releasing a few more products this week that helps customer with performance and security.
on a personal note: i read HN most days, and love going through the ShowHN's to see what devs are building. thanks for being an awesome community and my favorite place to lurk on the internet. i'll stick around to answer any questions
[0] PostgREST: https://postgrest.org
[1] Launch: https://news.ycombinator.com/item?id=23319901
[2] HN journey: https://hn.algolia.com/?dateRange=all&page=0&prefix=false&qu...
[3] Index Advisor: https://news.ycombinator.com/item?id=40028111
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The Many Ways Not to Build an API
If you use PostgreSQL and are proficient with using its row-level security feature, you can choose from several tools/services built above RLS, including Supabase, PostgREST, and PostGraphile. They all provide a way to expose database CRUD as a web API, assuming you've configured the RLS rules to properly secure the access.
- Soul: A SQLite REST and Realtime Server
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Build a simple project management app with Neon, PostgREST, and DigitalOcean
wget 'https://github.com/PostgREST/postgrest/releases/download/v11.2.0/postgrest-v11.2.0-linux-static-x64.tar.xz'
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Single Software Developer Projects
SupaBase is entirely based upon PostgREST. In fact, PostgREST is arguably 49% of their value proposition according to their own website. The other 49% is PostgreSQL. PostgreSQL of course is a super mature database, and some would argue the best RDBMS on the planet, so let's ignore that part for a moment, and consider it a mature thing and move on to PostgREST.
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Oink: An API for PHP in a single file
You don't need this PHP snippet:
To get the same functionality without the extra step, simply use PostgREST [1]
[1] https://postgrest.org/
- Ask HN: Popular open source tool originally written in Haskell?
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Use PostgREST and HTMX to Build RESTful APIs from PostgreSQL Databases
PostgREST is a standalone web server that turns your PostgreSQL database into a RESTful API using the database's structural constraints and permissions to define the API's endpoints and operations. In this tutorial, you will create a simple note-taking app by leveraging PostgREST to construct a RESTful API for the app and using htmx to deliver HTML content.
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We built our customer data warehouse all on Postgres
You might find some info in the docs of PostgREST [1] or in the previous discussions on HN about it [2].
For the versioning, I just have a git repo where I keep every role, schema, table, view, function, trigger, etc. definitions. Every time I change something in the database I first change it in the git repo too to have an history.
[1] https://postgrest.org
[2] https://hn.algolia.com/?q=postgrest
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Pandoc
Don't know if you would call this a "program" but PostgREST is written is Haskell too.
https://github.com/PostgREST/postgrest
What are some alternatives?
mmdetection - OpenMMLab Detection Toolbox and Benchmark
Hasura - Blazing fast, instant realtime GraphQL APIs on your DB with fine grained access control, also trigger webhooks on database events.
pytorch-grad-cam - Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
supabase - The open source Firebase alternative.
detectron2 - Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
postgres-websockets - PostgreSQL + Websockets
fastai - The fastai deep learning library
Appwrite - Your backend, minus the hassle.
composer - Supercharge Your Model Training
gotrue - An SWT based API for managing users and issuing SWT tokens.
sparktorch - Train and run Pytorch models on Apache Spark.
TimescaleDB - An open-source time-series SQL database optimized for fast ingest and complex queries. Packaged as a PostgreSQL extension.