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NumPy is an open source library for the Python programming language, adding support for large, multidimensional arrays, and matrices, along with a large collection of high-level mathematical functions to operate on these arrays.
Python Data Science Handbook: full text in Jupyter 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.
Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5
In this docs https://github.com/dask/dask/blob/main/docs/source/dataframe-groupby.rst we are using df in some places for pandas dataframes and in other palces for dask dataframes. There is also mention to ddf and df_dask.
For example:
df (pandas):
>>> df = pd.DataFrame({
... 'a': ['a', 'b', 'a', 'a', 'b'],
... 'b': [0, 1, 0, 2, 5],
... })
>>> ddf = dd.from_pandas(d机器学习相关教程
阿布量化交易系统(股票，期权，期货，比特币，机器学习) 基于python的开源量化交易，量化投资架构
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
Open Machine Learning Course
An open access book on scientific visualization using python and matplotlib
I think I have discovered a very minor bug - or rather inconsistency with numpy - in Numba's implementation
tensorboard for pytorch (and chainer, mxnet, numpy, ...)
Is there a way to train a bidirectional RNN (like LSTM or GRU) on trax nowadays?
https://numpy.org/doc/stable/reference/generated/numpy.corrcoef.html
https://docs.cupy.dev/en/stable/reference/generated/cupy.corrcoef.html
Seems args are different
dtype argument added in NumPy version 1.20.
A flexible framework of neural networks for deep learning
Deep learning operations reinvented (for pytorch, tensorflow, jax and others)
人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域
Repository to store sample python programs for python learning
如何导入pytorch训练好的模型或者权重文件？
Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy
The Unified Machine Learning Framework
TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...
Wondering if this already exists? If not happy to create if valuable.
I'm looking for a mapping from the column names outputted, to the actual technical indicator it represents.
examples:
momentum_ao == "Momentum, Awesome Oscilator"
momentum_kama == "Momentum, Kaufman’s Adaptive Moving Average (KAMA)"
Can help quickly grasp what the features represent without having to refer back to do
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
Created by Travis Oliphant
Latest release 4 days ago
The current implementation of Zero Redundancy optimizer has its own implementation of object broadcasting.
We should replace it with c10d [broadcast_object_list](https://pytorch.org/docs/stable/distributed.html#torch.distributed.broadcast_object_lis