42n4

42n4's Stars

• deepmind/deepmind-research

  This repository contains implementations and illustrative code to accompany DeepMind publications

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• LineageOS/android

  3.8k30601.6k

• yanshengjia/ml-road

  Machine Learning Resources, Practice and Research

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• ethen8181/machine-learning

  :earth_americas: machine learning tutorials (mainly in Python3)

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• big-data-europe/docker-hadoop

  Apache Hadoop docker image

  Language:Shell2.2k821121.3k

• Matoking/protontricks

  A wrapper that does winetricks things for Proton enabled games, requires Winetricks.

  Language:Python1.6k2231936

• alicezheng/feature-engineering-book

  Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018

  Language:Jupyter Notebook1.4k6014670

• Magisk-Modules-Repo/KaliNethunter

  KaliNethunter

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• ben519/DataWrangling

  The ultimate reference guide to data wrangling with Python and R

  Language:R24033182

• hardik0/Deep-Learning-with-GoogleColab

  Deep Learning Applications (Darknet - YOLOv3, YOLOv4 | DeOldify - Image Colorization, Video Colorization | Face-Recognition) with Google Colaboratory - on the free Tesla K80/Tesla T4/Tesla P100 GPU - using Keras, Tensorflow and PyTorch.

  Language:Jupyter Notebook764531

• deepdiy/deepdiy

  Deep learning based tool for image processing. No need for Programing and GPU.

  Language:Python624116

• sormy/gentoo-ami-builder

  Gentoo AMI Builder - Amazon Image builder for Gentoo Linux

  Language:Shell5171319

• kriyeng/yolo-on-colab-notebook

  How to train YOLOv3 using Darknet on Colab 12GB-RAM GPU notebook and optimize the VM runtime load times

  Language:Jupyter Notebook493840

• semihucann/hash_cracking_with_gpu

  Hash Cracking with Free GPU (Google Colab)

  Language:Jupyter Notebook413120

• sormy/gentoo-vbox-builder

  Gentoo VirtualBox Image Builder / Gentoo VBox Builder

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• LineageOS/android_device_lge_msm8996-common

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• LineageOS/android_device_lge_h870

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• animeshgoyal9/Predicting-Apply-rate-for-a-job-search-agency

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• desaiankitb/spark-mllib

  Apache Spark is one of the most widely used and supported open-source tools for machine learning and big data. In this repo, discover how to work with this powerful platform for machine learning. This repo discusses MLlib—the Spark machine learning library—which provides tools for data scientists and analysts who would rather find solutions to business problems than code, test, and maintain their own machine learning libraries. Repo shows how to use DataFrames to organize data structure, and covers data preparation and the most commonly used types of machine learning algorithms: clustering, classification, regression, and recommendations. You will have experience loading data into Spark, preprocessing data as needed to apply MLlib algorithms, and applying those algorithms to a variety of machine learning problems.

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• LG-G6-DEV/proprietary_vendor_lge

  NEW TREE

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• desaiankitb/spark-mllib-medium

  This repo shows how to review and derive information from datasets using Python. First, get an overview of data science and how it open source libraries like Python can be used for your data analysis need. Then, discover how to set up labs and data interpreters. Next, learn about how you can use pandas, NumPy, and SciPy for numerical processing, scientific programming, and extensive data exploration. With these options at your disposal, you'll be ready for the following code which focuses on making predictions using machine learning tools, data classifiers, and clusters. The repo concludes with a look at big data and how PySpark can be used for computing.

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• nullbytepl/android_device_leeco_s2

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• LineageOS/android_device_lge_h872

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• LineageOS/android_device_lge_us997

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• nullbytepl/android_kernel_leeco_msm8976

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• nullbytepl/android_vendor_leeco_s2

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• nullbytepl/Gradient

  🌈Gradient - A custom kernel for Leeco Le 2

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• zefie/android_device_lge_g6-common

  Language:Makefile11

• zefie/android_device_lge_us997

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• zefie/lgg6_local_manifests

  11