#Numpy
Showing 60 of 644 repositories tagged #numpy, ranked by stars
Tensors and Dynamic neural networks in Python with strong GPU acceleration
The 30 Days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than 100 days. Follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
Python Data Science Handbook: full text in Jupyter Notebooks
Visualizer for neural network, deep learning and machine learning models
The fundamental package for scientific computing with Python.
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.
🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
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
A high-performance, zero-overhead, extensible Python compiler with built-in NumPy support
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
100 numpy exercises (with solutions)
Convert Machine Learning Code Between Frameworks
Parallel computing with task scheduling
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
机器学习相关教程
NumPy & SciPy for GPU
An open access book on scientific visualization using python and matplotlib
NumPy aware dynamic Python compiler using LLVM
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
Open Machine Learning Course
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
《利用Python进行数据分析·第2版》
Trax — Deep Learning with Clear Code and Speed
Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy
tensorboard for pytorch (and chainer, mxnet, numpy, ...)
Efficiently computes derivatives of NumPy code.
Repository to store sample python programs for python learning
中文 Python 笔记
A flexible framework of neural networks for deep learning
🍊 :bar_chart: :bulb: Orange: Interactive data analysis
Technical Analysis Library using Pandas and Numpy
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
MegEngine 是一个快速、可拓展、易于使用且支持自动求导的深度学习框架
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
Machine Learning Containers for NVIDIA Jetson and JetPack-L4T
TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...
Fast data visualization and GUI tools for scientific / engineering applications
Performance analysis of predictive (alpha) stock factors
N-D labeled arrays and datasets in Python
C++ implementation of the Python Numpy library
This is Andrew NG Coursera Handwritten Notes.
A collection of scientific methods, processes, algorithms, and systems to build stories & models.
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)
Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
napari: a fast, interactive, multi-dimensional image viewer for python
🎚️ Open Source Audio Matching and Mastering
NLP made easy
Python实用教程，包括：Python基础，Python高级特性，面向对象编程，多线程，数据库，数据科学，Flask，爬虫开发教程。
A python module for scientific analysis of 3D data based on VTK and Numpy
Master the fundamentals of machine learning, deep learning, and mathematical optimization by building key concepts and models from scratch using Python.
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
This repository helps you learn Python and Machine Learning from scratch.
Những kiến thức cần thiết để học tốt Machine Learning trong vòng 2 tháng. Essential Knowledge for learning Machine Learning in two months.
JAX - A curated list of resources https://github.com/google/jax
SIMD-accelerated distances, dot products, matrix ops, geospatial & geometric kernels for 16 numeric types — from 6-bit floats to 64-bit complex — across x86, Arm, RISC-V, and WASM, with bindings for Python, Rust, C, C++, Swift, JS, and Go 📐
For extensive instructor led learning
🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo
ML algorithms implemented and derived from first-principles in Jupyter Notebooks and NumPy
TensorLy: Tensor Learning in Python.