6378 Open source projects that are alternatives of or similar to Learn Machine Learning In Two Months

Repository to store sample python programs for python learning

Deep Neural Network Trading collection of Tensorflow Jupyter notebooks

Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier

For extensive instructor led learning

The goal of this library is to generate more helpful exception messages for numpy/pytorch matrix algebra expressions.

Notes, examples, and Python demos for the textbook "Machine Learning Refined" (published by Cambridge University Press).

DeepLearning.AI TensorFlow Developer Professional Certificate Specialization

Alpine Container for Machine Learning

Source material for Python Like You Mean it

Fish detection using Open Images Dataset and Tensorflow Object Detection

Data Reading Blocks for Python

Lab Materials for MIT 6.S191: Introduction to Deep Learning

TensorFlow documentation

中文 Python 笔记

《机器学习宝典》包含：谷歌机器学习速成课程（招式）+机器学习术语表（口诀）+机器学习规则（心得）+机器学习中的常识性问题 （内功）。该资源适用于机器学习、深度学习研究人员和爱好者参考！

🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo

The book was written and tested with Python 3.5, though other Python versions (including Python 2.7) should work in nearly all cases.

MNIST classification in Tensorflow using Django

Some interesting TensorFlow tutorials for beginners.

I will update this repository to learn Machine learning with python with statistics content and materials

A series of self-correcting challenges for practicing your Machine Learning and Deep Learning skills

A Tutorial for Serving Tensorflow Models using Kubernetes

The dataset is used to train my own raccoon detector and I blogged about it on Medium

100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)

A tool for quickly training image classifiers in the browser

Stock Market Analysis and Prediction is the project on technical analysis, visualization and prediction using data provided by Google Finance.

Theory of digital signal processing (DSP): signals, filtration (IIR, FIR, CIC, MAF), transforms (FFT, DFT, Hilbert, Z-transform) etc.

A blazing fast matrix library for Elixir/Erlang with C implementation using CBLAS.

Introduction to generative adversarial networks, with code to accompany the O'Reilly tutorial on GANs

pytablewriter is a Python library to write a table in various formats: CSV / Elasticsearch / HTML / JavaScript / JSON / LaTeX / LDJSON / LTSV / Markdown / MediaWiki / NumPy / Excel / Pandas / Python / reStructuredText / SQLite / TOML / TSV.

TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。

머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)

Project for Digital Image Processing

Keras, PyTorch, and NumPy Implementations of Deep Learning Architectures for NLP

A Python implementation of Sky Region Detection in a Single Image for Autonomous Ground Robot Navigation (Shen and Wang, 2013)

Machine learning algorithms implemented by pure numpy

A temporal music synthesizer

This repository contains small projects related to Neural Networks and Deep Learning in general. Subjects are closely linekd with articles I publish on Medium. I encourage you both to read as well as to check how the code works in the action.

A collection of notebooks of my Machine Learning class written in python 3

Implementing different RNN models (LSTM,GRU) & Convolution models (Conv1D, Conv2D) on a subset of Amazon Reviews data with TensorFlow on Python 3. A sentiment analysis project.

notebooks with example for machine learning examples

tensorflow学习笔记，来源于电子书：《Tensorflow实战Google深度学习框架》

TensorFlow Tutorial for Time Series Prediction

An image recognition/object detection model that detects handwritten digits and simple math operators. The output of the predicted objects (numbers & math operators) is then evaluated and solved.

Duke-Tsinghua Machine Learning Summer School 2017

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

Códigos e materiais sobre TensorFlow em Português

Accompanying notebook for the Entailment with Tensorflow article.

Numerical & Scientific Computing with Python Tutorial

Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.

This is where I put all my work in Natural Language Processing

A Box detection algorithm for any image containing boxes.

[repo not maintained] Check out https://diffgram.com if you want to build a visual intelligence

This repository is my attempt to help Data Science aspirants gain necessary Data Visualization skills required to progress in their career. It includes all the types of plot offered by Seaborn, applied on random datasets.

General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python

A workshop for scientific computing in Python. ( December 2017 )

TensorFlow 最佳学习资源大全（含课程、书籍、博客、公开课等内容）

Credit Risk analysis by using Python and ML

Data science and Big Data with Python