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

Tutorials for deep learning

PyTorch Implementation of Focal Loss and Lovasz-Softmax Loss

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

Easy to use Python camera interface for NVIDIA Jetson

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

AWS Retail Demo Store is a sample retail web application and workshop platform demonstrating how AWS infrastructure and services can be used to build compelling customer experiences for eCommerce, retail, and digital marketing use-cases

Using Project Jupyter for data science.

Code to synthesise textures using convolutional neural networks as described in Gatys et al. 2015 (http://arxiv.org/abs/1505.07376)

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

Jupyter Notebooks for Computational Linear Algebra course, taught summer 2018 in USF MSDS program

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

Hands-On Computer Vision with TensorFlow 2, published by Packt

Stock for Deep Learning and Machine Learning

Tacotron 2 - PyTorch implementation with faster-than-realtime inference

Representation learning for link prediction within social networks

Machine Learning and NLP: Text Classification using python, scikit-learn and NLTK

Gradient based receptive field estimation for Convolutional Neural Networks

Deep Replay - Generate visualizations as in my "Hyper-parameters in Action!" series!

Guided Evolutionary Strategies

个人的技能树仓库，主要包含个人机器学习以及深度学习的笔记

Streaming over lightweight data transformations

AraVec is a pre-trained distributed word representation (word embedding) open source project which aims to provide the Arabic NLP research community with free to use and powerful word embedding models.

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

An IDA Pro Plugin for embedding an IPython Kernel

code for R-C3D

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

三个月教你从零入门深度学习Tensorflow版配套代码

ENet - A Neural Net Architecture for real time Semantic Segmentation

🔬 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

Open Content for self-directed learning in data science

Machine Learning in Finance: From Theory to Practice Book

Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)

机器学习技术研究室——by阿布量化小组

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

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

This something about deep learning on Coursera by Andrew Ng

Write-ups for hackergame 2018

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

Client side rendering of Jupyter notebooks

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

Reinforcement learning with A* and a deep heuristic

Website with learning materials / Stránka s učebními materiály

Statistics and Accepted paper list with arXiv link of EMNLP-IJCNLP 2019

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

Deep Learning 101 with PaddlePaddle （『飞桨』深度学习框架入门教程）

Automatic Music Transcription with Deep Neural Networks

Examples of using deep learning in Bioinformatics

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

A knowledge graph and a set of tools for drug repurposing

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

a generalist algorithm for cellular segmentation

An implementation of "mixup: Beyond Empirical Risk Minimization"

Estimates the size of a PyTorch model in memory

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

Code for YouTube series: Deep Learning for Audio Classification

TensorFlow JS models for MIRNet for low-light image enhancement.