nitroml
adanet
Our great sponsors
| nitroml | adanet | |
|---|---|---|
| 1 | 2 | |
| 40 | 3,471 | |
| - | -0.1% | |
| 0.9 | 0.0 | |
| about 3 years ago | 5 months ago | |
| Jupyter Notebook | Jupyter Notebook | |
| Apache License 2.0 | 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.
nitroml
-
Launch HN: MindsDB (YC W20) – Machine Learning Inside Your Database
The benchmarking challenges you are facing are pretty common in the AutoML community. My colleagues and I at Google Research are trying to solve this with https://github.com/google/nitroml. It's still super early days (no CI yet), but I think it could help your team benchmark on a set of open standard benchmark tasks as we open source more of the system.
adanet
- alguém sabe alguma coisa sobre AdaNetQuantum?
-
Show HN: AutoAI
Looks like a nice project. I just bookmarked it to try sometime.
At a previous job, my boss wanted me to spend time on AutoML. I based my work on Google’s AdaNet [1] that did architecture search inside a single TensorFlow session. Unfortunately that project seems to have been abandoned.
[1] https://github.com/tensorflow/adanet
What are some alternatives?
FLAML - A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
autokeras - AutoML library for deep learning
lightwood - Lightwood is Legos for Machine Learning.
ai-seed - 1000+ ready code templates to kickstart your next AI experiment
mlops-with-vertex-ai - An end-to-end example of MLOps on Google Cloud using TensorFlow, TFX, and Vertex AI
automlbenchmark - OpenML AutoML Benchmarking Framework
MindsDB - The platform for customizing AI from enterprise data
H2O - H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
autoai - Python based framework for Automatic AI for Regression and Classification over numerical data. Performs model search, hyper-parameter tuning, and high-quality Jupyter Notebook code generation.
ML-Workspace - 🛠 All-in-one web-based IDE specialized for machine learning and data science.
tf-metal-experiments - TensorFlow Metal Backend on Apple Silicon Experiments (just for fun)
FunMatch-Distillation - TF2 implementation of knowledge distillation using the "function matching" hypothesis from https://arxiv.org/abs/2106.05237.