6338 Open source projects that are alternatives of or similar to Spark Practice

Material for the pandas tutorial at EuroScipy 2016

書籍「つくりながら学ぶ！深層強化学習」のサポートリポジトリです

A Multipurpose Library for Synthetic Time Series Generation in Python

Code for training py-faster-rcnn and py-R-FCN on multiple GPUs in caffe

Tensorflow's Fairness Evaluation and Visualization Toolkit

quantitative security portfolio analysis. The analysis pipeline including data storage abstraction, alpha calculation, ML based alpha combining and portfolio calculation.

Machine Learning Algorithms implementations

an numpy-based implement of PointRend

Representing research papers as vectors / latent representations.

Code and resources for my blog and articles to share Data Science and AI knowledge and learnings with everyone

A very lightweight Python wrapper to the Philips Hue API

Deep Keyphrase Extraction using BERT

Ropsten public testnet PoW chain

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

Machine Learning Tutorials in Python

A game theoretic approach to explain the output of any machine learning model.

FaceNet for face recognition using pytorch

TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Apache Spark with minimal hand-tuning

中文文本错别字检测以及自动纠错 / Autochecker & autocorrecter for chinese

Transformer OCR

Veri Defteri Üzerine Kısa Notlar (www.veridefteri.com)

Survival analsyis and time-to-failure predictive modeling using Weibull distributions and Recurrent Neural Networks in Keras

A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

A simpler version of the self-attention layer from SAGAN, and some image classification results.

This is the code for the "How to Make Word Vectors from Game of Thrones (LIVE) " Siraj Raval on Youtube

Deep learning infrastructure for bioinformatics

Classifying White Blood Cells with CNNs

NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection.

A PyTorch library for two-sample tests

Material for the tutorial: "Deep Diving into GANs: from theory to production"

Contains files for the deep learning in genomics primer.

An enhanced interactive Shell for Common Lisp (based on the Jupyter protocol)

MIMIC-Extract:A Data Extraction, Preprocessing, and Representation Pipeline for MIMIC-III

Python is a multi-paradigm programming language. Meaning, it supports different programming approach. One of the popular approach to solve a programming problem is by creating objects. This is known as Object-Oriented Programming (OOP).

StructureNet: Hierarchical Graph Networks for 3D Shape Generation

High-speed simulator of convolutional spiking neural networks with at most one spike per neuron.

Notebooks using the Hugging Face libraries 🤗

This Jupyter Notebook will help you downloading Coursera videos, subtitles and quizzes (but not answering the quiz). It will automatically download and convert vtt subtitle files into srt. All resources downloaded are numbered according to their sequence.

Trained A Convolutional Neural Network To Play 2048 using Deep-Reinforcement Learning

Implementation of the Vanilla CNN described in the paper: Yue Wu and Tal Hassner, "Facial Landmark Detection with Tweaked Convolutional Neural Networks", arXiv preprint arXiv:1511.04031, 12 Nov. 2015. See project page for more information about this project. http://www.openu.ac.il/home/hassner/projects/tcnn_landmarks/ Written by Ishay Tubi : ishay2b [at] gmail [dot] com https://www.l

Continual Learning tutorials and demo running on Google Colaboratory.

北京邮电大学“网络搜索原理”课程资料(2019)

31 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.

Convolutional neural network analysis for predicting DNA sequence activity.

TLM Monthly Projects. Join our slack to work on them.

MLSS 2018 Madrid lecture materials on Generative Adversarial Networks (GANs)

ProtTrans is providing state of the art pretrained language models for proteins. ProtTrans was trained on thousands of GPUs from Summit and hundreds of Google TPUs using Transformers Models.

MAGIC (Markov Affinity-based Graph Imputation of Cells), is a method for imputing missing values restoring structure of large biological datasets.

InferSent sentence embeddings

Traffic Sign Detection. Code for the paper entitled "Evaluation of deep neural networks for traffic sign detection systems".

Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL

Library extending Jupyter notebooks to integrate with Apache TinkerPop and RDF SPARQL.

Code for NeurIPS 2019 paper: "Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes"

Convolutional Neural Network for Multi-label Multi-instance Relation Extraction in Tensorflow

Free tech resources for faculty, students, researchers, life-long learners, and academic community builders for use in tech based courses, workshops, and hackathons.

subpixel: A subpixel convnet for super resolution with Tensorflow