Top 18 Python Machinelearning Projects
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If you just want to run tensorflow or pytorch for a Jupyter notebook, setting the environment shouldn't be difficult. I know that AWS has a marketplace of preconfigured images. However, you can go as advanced as setting up a cluster of gpu-equipped nodes to setup Horovod (https://github.com/horovod/horovod) to do distributed machine learning. Yes, there's a learning curve, but you cannot acquire this skillet any other way.
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Project mention: Most Frequent 600 Coding Questions on LeetCode | reddit.com/r/cscareerquestions | 2021-10-26
They list themselves all over the internet as an "open source contributor" to Uber, which as far I can tell is based entirely on... reporting that there was an issue with a favicon. To me, it seems like they'll be cheating anybody who employs them based on this, ahem, "experience". And that feels like the tip of the iceberg.
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vaex
Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualize and explore big tabular data at a billion rows per second 🚀
Project mention: For stocks, what historical data do you store and how do you store it? | reddit.com/r/algotrading | 2021-05-14You might find vaex (https://github.com/vaexio/vaex) interesting if you work with HDF5.
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igel
a delightful machine learning tool that allows you to train, test, and use models without writing code
Project mention: Train/fit, test, and use models without writing code | reddit.com/r/ArtificialInteligence | 2021-06-29Link to the repo: https://github.com/nidhaloff/igel
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clearml
ClearML - Auto-Magical Suite of tools to streamline your ML workflow. Experiment Manager, MLOps and Data-Management
Project mention: [D] Facebook Visdom vs Google Tensorboard for Pytorch | reddit.com/r/MachineLearning | 2021-09-26I'm talking about ClearML😅 trying not to shill for open-source but ~5000 teams have already chosen 💪 https://github.com/allegroai/clearml
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Project mention: Yes, those patterns y'all keep posting are real! The similarity in meme stock price movement is statistically significant and differs significantly from a control group of boomer stocks (answer to u/HomeDepotHank69). | reddit.com/r/Superstonk | 2021-06-04
(see https://github.com/tslearn-team/tslearn https://towardsdatascience.com/how-to-apply-k-means-clustering-to-time-series-data-28d04a8f7da3)
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Making predictions based on images involves two basic steps: training the data and then processing the prediction. How to train the ML model can be found in the Github repo: GantMan/nsfw_model.
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Scout APM
Scout APM: A developer's best friend. Try free for 14-days. Scout APM uses tracing logic that ties bottlenecks to source code so you know the exact line of code causing performance issues and can get back to building a great product faster.
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But of course, you can always train a model with one framework and run inference with another. For instance, pytorch2keras does exactly this.
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deepsparse
Neural network inference engine that delivers GPU-class performance for sparsified models on CPUs
Project mention: [D] How does the DeepSparse Engine work? | reddit.com/r/MachineLearning | 2021-10-23Neural magic has open source tools for pruning models and the DeepSparse efficiently executes the sparse models on CPU. Here is the only description of the inner workings I could find. source
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Project mention: Tear-sheet for trading volatility on two leveraged ETFs using LiuAlgoTrader | reddit.com/r/algotrading | 2021-05-30
LiuAlgoTrader GitHub repo, Trading bands source code
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Project mention: Looking for Hand Detection pre trained model | reddit.com/r/deeplearning | 2021-08-31
I am looking for a hand detection (hand position on frame) pre trained model. I tried this YOLO model on github here. It is working but getting very low fps (like 2-5 fps) on VideoCapture.
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Project mention: Deploying a LightGBM classifier as a AWS Sagemaker endpoint? | reddit.com/r/mlops | 2021-08-25
Have looked at: https://sagemaker-examples.readthedocs.io/en/latest/advanced_functionality/scikit_bring_your_own/scikit_bring_your_own.html https://docs.aws.amazon.com/sagemaker/latest/dg/docker-containers-create.html https://sagemaker-immersionday.workshop.aws/lab3/option1.html The above don't specify LightGBM, but the concept of Bring Your Own Container/Algorithm is the same. I think this article might be more than what you need, buy it does reference LightGBM https://github.com/awslabs/sagemaker-explaining-credit-decisions And also this one https://github.com/aws-samples/amazon-sagemaker-script-mode/blob/master/lightgbm-byo/lightgbm-byo.ipynb
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For people who'd like the joy of seeing their hobby engine face real people, Lichess has a nice system for verified bot accounts: https://lichess.org/team/lichess-bots
I'm personally running bits for sunfish https://github.com/thomasahle/sunfish and fastchess https://github.com/thomasahle/fastchess
There are way too many stockfish clones on there. I hope more hobby chess engine builders will join in.
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Project mention: Type4Py: Machine Learning-based Type Auto-completion for Python | reddit.com/r/madeinpython | 2021-07-23
The Type4Py model and its pipeline are implemented in Python.
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mlf-core
CPU and GPU deterministic and therefore fully reproducible machine learning pipelines using MLflow.
Project mention: [D] “Please Commit More Blatant Academic Fraud” (Blog post on problems in ML research by Jacob Buckman) | reddit.com/r/MachineLearning | 2021-05-31Link: https://github.com/mlf-core/mlf-core
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Machine-Learning-Cyrillic-Classifier
This is a web app where you can draw a letter in the russian alphabet and the ML algorithm will predict the letter that you drew.
Project mention: Hello there!, I did a Cyrillic Classifier as a data science project for my university and I wanted to share with you | reddit.com/r/Python | 2021-05-10GitHub repo
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Finance-Using-Python
This product helps to understand the stocks in visual manner and as well as it saves the record. And help to predict the data
source: https://github.com/Aaris-Kazi/Finance-Using-Python
Python Machinelearning related posts
- [D] How does the DeepSparse Engine work?
- Looking for Hand Detection pre trained model
- Tutorial: Prune and quantize YOLOv5 for 10x better performance and 12x smaller size
- Type4Py: Machine Learning-based Type Auto-completion for Python
- [D] GPU buying recommendation
- DS2.ai Release: End-to-End MLOps Platform
- Tesla’s AI chief Andrej Karpathy explains why they use cameras instead of lidar
Index
What are some of the best open-source Machinelearning projects in Python? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | horovod | 11,881 |
| 2 | ludwig | 7,987 |
| 3 | vaex | 6,742 |
| 4 | igel | 2,951 |
| 5 | clearml | 2,820 |
| 6 | tslearn | 1,882 |
| 7 | nsfw_model | 831 |
| 8 | pytorch2keras | 756 |
| 9 | deepsparse | 339 |
| 10 | LiuAlgoTrader | 250 |
| 11 | yolo-hand-detection | 143 |
| 12 | sagemaker-explaining-credit-decisions | 74 |
| 13 | fastchess | 62 |
| 14 | type4py | 32 |
| 15 | mlf-core | 31 |
| 16 | ds2ai | 8 |
| 17 | Machine-Learning-Cyrillic-Classifier | 1 |
| 18 | Finance-Using-Python | 0 |
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