6119 Open source projects that are alternatives of or similar to Dog Breeds Classification

Fifty different implementations of Fizzbuzz in Python.

Graph Convolutional Networks (GCN) with BERT for Coreference Resolution Task [Pytorch][DGL]

bert-loves-chemistry: a repository of HuggingFace models applied on chemical SMILES data for drug design, chemical modelling, etc.

bash script to install Artifical Images materials

Deep Learning with Tensor Flow for EEG MNE Epoch Objects

Notebooks para comenzar desde cero en data science (en español)

INACTIVE - please go to https://gitlab.com/juliensimon/dlnotebooks

Datasets I have created for scientific summarization, and a trained BertSum model

An introduction to implementing a number of scikit-learn classifiers, along with some data exploration

Material del curso de Deep Learning de la Universidad de Chile

Joint Vector Spaces

Machine learning and artificial intelligence

Course Notes for Text Mining - Prof. Peter Organisciak

Tutoriais de Python, Data Science, Machine Learning e Deep Learning - Sigmoidal

Classification of the Hyperspectral Image Indian Pines with Convolutional Neural Network

A documentation browser with support for DevDocs, Dash and Hoogle, written in Haskell and QML

🙄 Difficult algorithm, Simple code.

A library of probabilistic model based RL algorithms in pytorch

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

Deep Variational Reinforcement Learning

Machine Learning Toolkit for SEO

Accompanying code for the paper "Zero-shot Knowledge Transfer via Adversarial Belief Matching"

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.

Материалы мини-курса на Stepik "Нейронные сети и обработка текста"

Research by Carlos Góes

Data science and Machine Learning GUI programs/ desktop apps with PySimpleGUI package

Fast and Easy Infinite Neural Networks in Python

Putting machine learning in the hands of cancer biologists

Master gradient-based machine learning. Also secretly a JAX course in disguise!

Code for Residual and Plain Convolutional Neural Networks for 3D Brain MRI Classification paper

Python version of Dr. Ernie Chan's Matlab code and some inspired from Robert Carver's, plus some raw data downloaders

Privacy-preserving generative deep neural networks support clinical data sharing

Torch notebooks and slides for the Bay Area Deep Learning Summer School

🔮 Life is short, you need PyTorch.

Advanced Deep Learning with Python

《python数据分析与挖掘实战》项目实践及拓展

TRAINING DEEP NEURAL-NETWORKS USING A NOISE ADAPTATION LAYER

《深度学习之PyTorch实战计算机视觉》全书代码

Harry Potter and the Allocation of Dirichlet

Neural Ordinary Differential Equation

Time Series Forecast with Bitcoin value, to detect upward/down trends with Machine Learning Algorithms

A Quantum 爻 System Implementation for Divination

A Chinese translation of Jake Vanderplas' "Python Data Science Handbook". 《Python数据科学手册》在线Jupyter notebook中文翻译

IPython Notebooks

Tensorflow implementation of Multi-View 3D Object Detection Network (in progress)

Data and analysis for the BuzzFeed News article, "Hyperpartisan Facebook Pages Are Publishing False And Misleading Information At An Alarming Rate."

Introductory Python Series for UC Berkeley's D-Lab

Python Data Analysis Cookbook, published by Packt

ResUNet, a semantic segmentation model inspired by the deep residual learning and UNet. An architecture that take advantages from both(Residual and UNet) models.

Colabs for ML Day Tokyo

Face ID recognition with medical masks

collaborative audio module for fast.ai

Pythonic Objects

This is the code for the "How to do Object Detection with OpenCV" live session by Siraj Raval on Youtube

Unofficial implementation of Octave Convolutions (OctConv) in TensorFlow / Keras.