fr42k

fr42k's Stars

• JessicaL123/Analyzing_Social_Networks_using_GraphX

  Big data - assignment 3

  Language:Scala11

• fr42k/leetcode

  :sparkles::v::sparkles:leetcode刷题 内附leetcode solution代码自动下载生成器（Leetcode solution auto generator)

  Language:C++3

• rougier/numpy-100

  100 numpy exercises (with solutions)

  Language:Python12.3k5.8k

• recommenders-team/recommenders

  Best Practices on Recommendation Systems

  Language:Python19.5k3.1k

• amygdala/code-snippets

  Small Google Cloud Platform examples and code snippets.

  Language:Python15684

• GoogleCloudPlatform/training-data-analyst

  Labs and demos for courses for GCP Training (http://cloud.google.com/training).

  Language:Jupyter Notebook8k5.9k

• lydrainbowcat/tedukuri

  《算法竞赛进阶指南》资源社区

  Language:Roff2.4k602

• j-delaney/easy-application

  Over 400 software engineering companies that are easy to apply to

  7.8k1k

• dhconnelly/paip-python

  Peter Norvig's Paradigms of AI Programming implemented in Python

  Language:Python353115

• princeton-vl/CornerNet

  Language:Python2.4k475

• BobLiu20/YOLOv3_PyTorch

  Full implementation of YOLOv3 in PyTorch

  Language:Python625190

• zengarden/light_head_rcnn

  Light-Head R-CNN

  Language:Jupyter Notebook835222

• fchollet/keras-resources

  Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library

  3.3k886

• jakevdp/PythonDataScienceHandbook

  Python Data Science Handbook: full text in Jupyter Notebooks

  Language:Jupyter Notebook43.4k18k

• CyC2018/CS-Notes

  :books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计

  178k51.2k

• yunjey/pytorch-tutorial

  PyTorch Tutorial for Deep Learning Researchers

  Language:Python30.4k8.1k

• PatWie/paperhero

  webapp written in python to manage pdf collections and notes

  Language:CSS303

• fossasia/visdom

  A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.

  Language:Python10.1k1.1k

• henripal/labnotebook

  LabNotebook is a tool that allows you to flexibly monitor, record, save, and query all your machine learning experiments.

  Language:Jupyter Notebook53340

• IDSIA/sacred

  Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.

  Language:Python4.3k383

• yu-changqian/Deep-Learning-Papers-Reading-List

  Some Papers about Deep Learning especially Semantic Segmentation I have read

  8018

• megvii-research/megvii-pku-dl-course

  Homepage for the joint course of Megvii Inc. and Peking University on Deep Learning.

  Language:Python444108

• desire2020/CoT

  (Beta Version!) Experiment Code for Paper ``CoT: Cooperative Training for Generative Modeling of Discrete Data''

  Language:Python7327

• thvasilo/cuda-sgd-sese-project

  Implementation of mini-batch Stochastic Gradient Descent (SGD) in CUDA using Thrust and cuBLAS

  Language:C++61

• iissnan/hexo-theme-next

  Elegant theme for Hexo.

  Language:JavaScript15.9k3.6k

• facebookresearch/Detectron

  FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

  Language:Python26.3k5.5k

• isocpp/CppCoreGuidelines

  The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++

  Language:CSS43k5.4k

• donnemartin/system-design-primer

  Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

  Language:Python280k46.8k

• chrischoy/pytorch-custom-cuda-tutorial

  Tutorial for building a custom CUDA function for Pytorch

  Language:Python51551

• skywhat/leetcode

  Language:C++6220