5960 Open source projects that are alternatives of or similar to Fmix

Deep Learning Zero to All - Tensorflow

List of tech resources future me and other Javascript/Ruby/Python/Elixir/Elm developers might find useful

Implementation of Google Brain's WaveGrad high-fidelity vocoder (paper: https://arxiv.org/pdf/2009.00713.pdf). First implementation on GitHub.

Text Classification through CNN, RNN & HAN using Keras

Beautiful charting of pandas.DataFrame with Highcharts

Productionise your Jupyter Notebooks as easily as you wrote them.

This is the PyTorch implementation of VGG network trained on CIFAR10 dataset

Deep Learning for Land-cover Classification in Hyperspectral Images.

source{d} datasets ("big code") for source code analysis and machine learning on source code

🔮Getting started with TensorFlow: Classifying Text with Neural Networks

Code repository for DenseReg.

Superpoint Implemented in PyTorch: https://arxiv.org/abs/1712.07629

TensorFlow Tutorials

PyTorch implementation of Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning

Tool for visualizing attention in the Transformer model (BERT, GPT-2, Albert, XLNet, RoBERTa, CTRL, etc.)

A collection of notebook to learn the Applied Predictive Modeling using Python.

Code and Examples for Relevant Search

Tutorial on "Modern Optimization Methods in Python"

Tutorials for deep learning

Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.

MAttNet: Modular Attention Network for Referring Expression Comprehension

전 세계의 멋진 케라스 문서 및 튜토리얼을 한글화하여 케라스x코리아를 널리널리 이롭게합니다.

Graph Networks as a Universal Machine Learning Framework for Molecules and Crystals

A crash course in six episodes for software developers who want to become machine learning practitioners.

add statistical annotations (pvalue significance) on an existing boxplot generated by seaborn boxplot

A python package that includes many methods for decoding neural activity

台大机器学习课程作业详解

Weakly Supervised Segmentation with Tensorflow. Implements instance segmentation as described in Simple Does It: Weakly Supervised Instance and Semantic Segmentation, by Khoreva et al. (CVPR 2017).

Implementation of Statistical Learning Method, Second Edition.《统计学习方法》第二版，算法实现。

Python solutions to solve practical business problems.

a generalist algorithm for cellular segmentation

《统计学习方法》（第一版）习题解答，在线阅读地址：https://datawhalechina.github.io/statistical-learning-method-solutions-manual

Python is an interpreted, high-level, general-purpose programming language. Created by Guido van Rossum and first released in 1991, Python's design philosophy emphasizes code readability with its notable use of significant white space. (This repository contains Python 3 Code)

Code and Dataset for CVPR2020 "Dynamic Refinement Network for Oriented and Densely Packed Object Detection"

Implementation of "Overcoming catastrophic forgetting in neural networks" in Tensorflow

Deep learning framework for wearable activity recognition based on convolutional and LSTM recurretn layers

Installations for Data Science. Anaconda, RStudio, Spark, TensorFlow, AWS (Amazon Web Services).

Machine Learning and Deep Learning Resources

An optical music recognition (OMR) system. Converts sheet music to a machine-readable version.

Exploration of methods for coloring t-SNE.

My attempt at reproducing the paper Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection

SuperComputing 2017 Deep Learning Tutorial

ULMFiT for Genomic Sequence Data

Jupyter notebooks associated with the Algorithms for Optimization textbook

Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?

Ray tutorials from Anyscale

Repository for PyCon 2016 workshop Natural Language Processing in 10 Lines of Code

Jupyter notebooks and other materials developed for the Columbia course APMA 4300

Code for our paper "Hamiltonian Neural Networks"

Exercises for the Analysis of Knowledge Graphs

Gradient based receptive field estimation for Convolutional Neural Networks

Official Repo for Google Cloud AI Platform

[DEPRECATED] An IPython notebook-compatible Javascript/HTML viewer for matplotlib animations

Ciência de Dados aplicada à pandemia do novo coronavírus.

Official PyTorch Implementation for "Rotate to Attend: Convolutional Triplet Attention Module." [WACV 2021]

Machine Learning Foundations: Algebra, Calculus, Statistics & Computer Science

Udacity's Machine Learning Nanodegree project files and notes.

ML Online Course Repository. Course videos on online.codingblocks.com