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数据导入至Python的三种方法

adversarialnetspapers

The classical paper list with code about generative adversarial nets

algorithms

Bug-tracking for Jeff's algorithms book, notes, etc.

cookbook_and_code

cs-notes

:books: Computer Science Learning Notes

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

fuzzy-pattern-trees

Implementation of several machine learning algorithms to induce fuzzy pattern trees for classification and regression.

gandissect

Pytorch-based tools for visualizing and understanding the neurons of a GAN. https://gandissect.csail.mit.edu/

hands_on_ml_with_sklearn_and_tf

:book: [译] Sklearn 与 TensorFlow 机器学习实用指南

hello-world

第一个机器学习Python实践

igan

Interactive Image Generation via Generative Adversarial Networks

imagenet18

Code to reproduce "imagenet in 18 minutes" experiments

lintcode

Java Solutions to problems on LintCode/LeetCode

machinelearning

ML.NET is an open source and cross-platform machine learning framework for .NET.

pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

pwc

Papers with code. Sorted by stars. Updated weekly.

python_text

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

reinforcement-learning-notebooks

A collection of Reinforcement Learning algorithms from Sutton and Barto's book and other research papers implemented in Python.

shendusuipian

To know stats by heart

stanford-cs-230-deep-learning

VIP cheatsheets for Stanford's CS 230 Deep Learning

tfjs

A WebGL accelerated JavaScript library for training and deploying ML models.

thuthesis

LaTeX Thesis Template for Tsinghua University