anguyen216

anguyen216's Stars

• amjacob2/reimplementation-back-end

  CSC517_reimplementation-back-end

  Language:Ruby2

• youssefHosni/Data-Science-Interview-Preperation-Resources

  Resoruce to help you to prepare for your comming data science interviews

  953205

• Kavex/GameDev-Resources

  :video_game: :game_die: A wonderful list of Game Development resources.

  3.9k377

• MonoGame/MonoGame

  One framework for creating powerful cross-platform games.

  Language:C#11.3k2.9k

• EllanJiang/GameFramework

  This is literally a game framework, based on Unity game engine. It encapsulates commonly used game modules during development, and, to a large degree, standardises the process, enhances the development speed and ensures the product quality.

  Language:C#5.8k1.4k

• rbhatia46/Data-Science-Interview-Resources

  A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.

  2.7k646

• khanhnamle1994/cracking-the-data-science-interview

  A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

  Language:Jupyter Notebook3.6k1k

• alexeygrigorev/data-science-interviews

  Data science interview questions and answers

  Language:HTML8.7k1.9k

• yangshun/tech-interview-handbook

  💯 Curated coding interview preparation materials for busy software engineers

  Language:TypeScript117k14.6k

• andrewekhalel/MLQuestions

  Machine Learning and Computer Vision Engineer - Technical Interview Questions

  2.9k485

• alirezadir/Machine-Learning-Interviews

  This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

  Language:Jupyter Notebook4.3k774

• khangich/machine-learning-interview

  Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

  9k1.5k

• ArghyaChatterjee/gps-waypoint-based-autonomous-navigation-in-ros

  GPS points will be predefined in ROS based robots to navigate to the destination avoiding obstacles.

  Language:C++26874

• AtsushiSakai/PythonRobotics

  Python sample codes for robotics algorithms.

  Language:Python22.7k6.5k

• osrf/vrx

  Virtual RobotX (VRX) resources.

  Language:C++415188

• simonjmendelsohn/TSPWithTime

  This repo contains a number of algorithms that I experimented with in order to (approximately) solve the Traveling Salesman Problem with Time Windows.

  Language:HTML32

• fwilliams/point-cloud-utils

  An easy-to-use Python library for processing and manipulating 3D point clouds and meshes.

  Language:C++1.3k107

• jerrysu/CodePath-Twitter

  Twitter client written in Swift

  Language:Swift52

• optas/latent_3d_points

  Auto-encoding & Generating 3D Point-Clouds.

  Language:Jupyter Notebook510110

• tayllan/awesome-algorithms

  A curated list of awesome places to learn and/or practice algorithms.

  20.1k2.6k

• tsiege/Tech-Interview-Cheat-Sheet

  Studying for a tech interview sucks. Here's an open source cheat sheet to help

  Language:TypeScript4.2k963

• teivah/algodeck

  An Open-Source Collection of 200+ Flash Cards to Help You Preparing Your Algorithms & Data Structures Interview 💯

  5.6k564

• public-apis/public-apis

  A collective list of free APIs

  Language:Python312k33.3k

• charlesq34/pointnet-autoencoder

  Autoencoder for Point Clouds

  Language:Python41185

• alshedivat/al-folio

  A beautiful, simple, clean, and responsive Jekyll theme for academics

  Language:HTML10.5k10.9k

• chunliangli/Point-Cloud-GAN

  The code for Point Cloud GAN

  Language:Python6116

• liruihui/PU-GAN

  PU-GAN: a Point Cloud Upsampling Adversarial Network, ICCV, 2019

  Language:Makefile27545

• FilippoBovo/production-data-science

  Production Data Science: a workflow for collaborative data science aimed at production

  Language:Jupyter Notebook453130

• schneems/Octave

  my octave exercises for 2011 stanford machine learning class, posted after the due date of course

  Language:Matlab823506

• cmudeeplearning11785/Fall2018-tutorials

  Tutorials for Fall 2018

  Language:Jupyter Notebook150107