market_risk_gan_tensorflow
best-of-ml-python
market_risk_gan_tensorflow | best-of-ml-python | |
---|---|---|
1 | 16 | |
76 | 15,335 | |
- | 0.7% | |
0.0 | 7.8 | |
about 1 year ago | 7 days ago | |
Python | Python | |
Apache License 2.0 | Creative Commons Attribution Share Alike 4.0 |
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market_risk_gan_tensorflow
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?
Awesome-WAF - 🔥 Web-application firewalls (WAFs) from security standpoint.
ktrain - ktrain is a Python library that makes deep learning and AI more accessible and easier to apply
dtale - Visualizer for pandas data structures
ffcv - FFCV: Fast Forward Computer Vision (and other ML workloads!)
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
livelossplot - Live training loss plot in Jupyter Notebook for Keras, PyTorch and others
speechbrain - A PyTorch-based Speech Toolkit
VeRyPy - A python library with implementations of 15 classical heuristics for the capacitated vehicle routing problem.
ydata-profiling - 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
petastorm - Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code.