onnxmltools
best-of-ml-python
| onnxmltools | best-of-ml-python | |
|---|---|---|
| 3 | 16 | |
| 940 | 15,335 | |
| 1.9% | 0.7% | |
| 6.5 | 7.8 | |
| 20 days ago | 6 days ago | |
| Python | Python | |
| Apache License 2.0 | Creative Commons Attribution Share Alike 4.0 |
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.
onnxmltools
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Model Interoperability with ONNX
onnxmltools
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Export and run other machine learning models
With the onnxmltools library, traditional models from scikit-learn, XGBoost and others can be exported to ONNX and loaded with txtai. Additionally, Hugging Face's trainer module can train generic PyTorch modules. This notebook will walk through all these examples.
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[D] ONNX ecosystem
PyTorch has robust support for exporting Torch models to ONNX. This enables exporting Hugging Face Transformers and/or other downstream models directly to ONNX. With the onnxmltools library, traditional models from scikit-learn, XGBoost and others can be exported to ONNX.
best-of-ml-python
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Ask HN: How to get back into AI?
For Python, here's a nice compilation: https://github.com/ml-tooling/best-of-ml-python/blob/main/RE...
- Best-Of Machine Learning with Python
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Questions regarding Job Requirements for data analyst to data science transition?
You will need numpy, scipy, pandas, scikit-learn, Keras/tensorflow/pytorch, xgboost and many many many others. See this list for example.
- Awesome list of ML
- Are there any speech recognition modules so I can write one and do not have to rely on google and the likes?
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Learning opencv
Take a look at this list on github. It has a pretty comprehensive list of python image libraries.
- Best-of Machine Learning with Python
- 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
What are some alternatives?
onnxruntime - ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Awesome-WAF - 🔥 Web-application firewalls (WAFs) from security standpoint.
transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
ktrain - ktrain is a Python library that makes deep learning and AI more accessible and easier to apply
txtai - 💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows
dtale - Visualizer for pandas data structures
modelstore - 🏬 modelstore is a Python library that allows you to version, export, and save a machine learning model to your filesystem or a cloud storage provider.
ffcv - FFCV: Fast Forward Computer Vision (and other ML workloads!)
data-science-ipython-notebooks - Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
awesome-python - An opinionated list of awesome Python frameworks, libraries, software and resources.
kmodes - Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data
NBA-Machine-Learning-Sports-Betting - NBA sports betting using machine learning