lightwood
funsor
| lightwood | funsor | |
|---|---|---|
| 2 | 1 | |
| 421 | 232 | |
| 1.4% | 1.3% | |
| 9.0 | 3.3 | |
| 15 days ago | 8 months ago | |
| Python | Python | |
| GNU General Public License v3.0 only | Apache License 2.0 |
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.
lightwood
-
[D] What would a good ML take home test look like for you?
Create a very detailed issue about this (bonus points, you can use the same thing for all candidates to have a fair evaluation). Here's an example.
-
Launch HN: MindsDB (YC W20) – Machine Learning Inside Your Database
3. A decoder that is trained to generate images takes that representation and generates an image1.
Note: above is a good illustrative example, in practice, we're good with outputting dates, numerical, categories, tags and time-series (i.e. predicting 20 steps ahead). We haven't put much work into image/text/audio/video outputs
You should be able to find more details about how we do this in the docs and most of the heavy lifting happens in the lightwood repo, the code for that is fairly readable I hope: https://github.com/mindsdb/lightwood
funsor
-
Functions are Vectors
Plug for the Funsor library, written by Eli Bingham and me for use in the Pyro and NumPyro probabilistic programming languages. We tried to take the "functions are tensors" perspective and make a numpy-like library for functions, aimed mostly at the log-density functions of probability distributions.
Paper: "Functional Tensors for Probabilistic Programming" (2019) https://arxiv.org/abs/1910.10775
Code: https://github.com/pyro-ppl/funsor
What are some alternatives?
MindsDB - The platform for customizing AI from enterprise data
pyprobml - Python code for "Probabilistic Machine learning" book by Kevin Murphy
nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
numpyro - Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
nitroml - NitroML is a modular, portable, and scalable model-quality benchmarking framework for Machine Learning and Automated Machine Learning (AutoML) pipelines.
pyro - Deep universal probabilistic programming with Python and PyTorch
ivy - The Unified AI Framework
probability - Probabilistic reasoning and statistical analysis in TensorFlow
Projects-Archive - This hacktober fest, the only stop you’ll need to make for ML, Web Dev and App Dev - see you there!