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

Version 1 of Technical Best Practices of Azure Databricks based on real world Customer and Technical SME inputs

In The Wild 3D Morphable Models

Scripts and code examples. Includes Spark notes, Jupyter notebook examples for Spark, Impala and Oracle.

唐诗，藏头诗，按需自动生成古诗，基于Keras、LSTM-RNN。文档齐全。

基于Tensorflow2的深度学习开源书籍

ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission (CHIL 2020 Workshop)

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

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One has no future if one couldn't teach themself.

Kipoi's model zoo API

w-net: a convolutional neural network architecture for the self-supervised learning of depthmap from pairs of stereo images.

[ICCV 2019] Monocular depth estimation from a single image

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Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft

This is the code for "Time Series Prediction" By Siraj Raval on Youtube

This repository contains the lecture materials for EECS 545, a graduate course in Machine Learning, at the University of Michigan, Ann Arbor.

PyTorch implementation of Soft Actor-Critic (SAC)

A TensorFlow implementation of Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks (http://arxiv.org/pdf/1312.6082.pdf)

http://nlp.seas.harvard.edu/2018/04/03/attention.html

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Proving Ground: Tools for Automated Mathematics

Optimization Examples with SigOpt

Jupyter/IPython notebooks about evolutionary computation.

A Simple pytorch implementation of GradCAM and GradCAM++

An independent implementation of "CrowdNet: A Deep Convolutional Network for Dense Crowd Counting"

This trading-gym is the first trading for agent to train with episode of short term trading itself.

Reinforcement Learning with Goals

Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)

A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.

Keras Implementation of The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation by (Simon Jégou, Michal Drozdzal, David Vazquez, Adriana Romero, Yoshua Bengio)

A Jupyter kernel for Stata. Works with Windows, macOS, and Linux.

Echo State Networks in Python

18.330 Introduction to Numerical Analysis

借助Python抓取微博数据，并对抓取的数据进行情绪分析

1st Solution for 2019-CIKM-Analyticup, Efficient and Novel Item Retrieval for Large-scale Online Shopping Recommendation

A seq2seq model that can correct spelling mistakes.

Notebooks on how to use Distributed Evolutionary Algorithm in Python (DEAP)

A complete catalog of all the players in Fifa 18 and their complete statistics.

retrain gpt-2 in colab

꼼꼼한 딥러닝 논문 리뷰와 코드 실습

Homepage for STAT 157 at UC Berkeley

CME211 Notes | Outline ->

Advanced Machine Learning Specialization on Coursera

Analytics and data science business case studies to identify opportunities and inform decisions about products and features. Topics include Markov chains, A/B testing, customer segmentation, and machine learning models (logistic regression, support vector machines, and quadratic discriminant analysis).

Detecting and counting small objects - Analysis, review and application to counting

TensorFlow implementation for training MCMC samplers from the paper: Generalizing Hamiltonian Monte Carlo with Neural Network

This projects gives Kotlin bindings and several extensions for Apache Spark. We are looking to have this as a part of Apache Spark 3.x

A day to day plan for this challenge. Covers both theoritical and practical aspects

Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code.

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"

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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