5921 Open source projects that are alternatives of or similar to Pysolar

An implementation of some of the tools used by the winner of the box plots competition using scikit-learn.

Presentation Materials for my "Sound Analysis with the Fourier Transform and Python" OSCON Talk.

Fast, flexible and easy to use probabilistic modelling in Python.

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

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

Guided Evolutionary Strategies

Streaming over lightweight data transformations

机器学习技术研究室——by阿布量化小组

Running parametric t-SNE by Laurens Van Der Maaten with Octave and oct2py.

Source code accompanying: BigQuery: The Definitive Guide by Lakshmanan & Tigani to be published by O'Reilly Media

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

Tutorials for deep learning

Using Project Jupyter for data science.

A generic Mixture Density Networks (MDN) implementation for distribution and uncertainty estimation by using Keras (TensorFlow)

Representation learning for link prediction within social networks

Gradient based receptive field estimation for Convolutional Neural Networks

PyTorch Implementation of "Large-Scale Image Retrieval with Attentive Deep Local Features"

Stock for Deep Learning and Machine Learning

🔬 Research Framework for Single and Multi-Players 🎰 Multi-Arms Bandits (MAB) Algorithms, implementing all the state-of-the-art algorithms for single-player (UCB, KL-UCB, Thompson...) and multi-player (MusicalChair, MEGA, rhoRand, MCTop/RandTopM etc).. Available on PyPI: https://pypi.org/project/SMPyBandits/ and documentation on

Machine Learning in Finance: From Theory to Practice Book

Write-ups for hackergame 2018

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

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

Automatic Music Transcription with Deep Neural Networks

Code for YouTube series: Deep Learning for Audio Classification

🌮 Trash Annotations in Context Dataset Toolkit

[电影推荐系统] Based on the movie scoring data set, the movie recommendation system is built with FM and LR as the core(基于爬取的电影评分数据集，构建以FM和LR为核心的电影推荐系统).

Resources for students in the Udacity's Machine Learning Engineer Nanodegree to work through Stanford's Convolutional Neural Networks for Visual Recognition course (CS231n).

Building Machine Learning Projects with TensorFlow by Packt

Train a Word2Vec model or LSA model, and Implement Conceptual Search\Semantic Search in Solr\Lucene - Simon Hughes Dice.com, Dice Tech Jobs

Estimates the size of a PyTorch model in memory

知乎看山杯 第二名 解决方案

A series of notebooks describing how to use YOLO (darkflow) in python

Repeatable analysis plugin for Jupyter notebook

A library of metrics for evaluating recommender systems

How to use ELMo embeddings in Keras with Tensorflow Hub

VPoser: Variational Human Pose Prior

An implementation of "mixup: Beyond Empirical Risk Minimization"

Methodology and code supporting the BuzzFeed News/BBC article, "The Tennis Racket," published Jan. 17, 2016.

Data Cleaning Libraries with Python

Epipolar Transformers (CVPR 2020)

Kernel Density Estimation in Python

A minimal Jupyter Notebook theme

code and model of Pyramid Feature Selective Network for Saliency detection

AIND Term 2 -- Lesson on Convolutional Neural Networks

Python code for bayesian optimization using Gaussian processes

Tutorial on normalizing flows.

faiss wiki in chinese.

This repository contains all the material for the MLTrain NIPS workshop

summer school coursework

Website with learning materials / Stránka s učebními materiály

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

Scipy 2018 scikit-learn tutorial by Guillaume Lemaitre and Andreas Mueller