Nicholas-Dhanraj

Nicholas-Dhanraj's Stars

• magenta/magenta

  Magenta: Music and Art Generation with Machine Intelligence

  Language:Python19.1k7529573.7k

• shadcn-ui/taxonomy

  An open source application built using the new router, server components and everything new in Next.js 13.

  Language:TypeScript18.4k1771792.6k

• khangich/machine-learning-interview

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

  9.3k21541.5k

• pygame/pygame

  🐍🎮 pygame (the library) is a Free and Open Source python programming language library for making multimedia applications like games built on top of the excellent SDL library. C, Python, Native, OpenGL.

  Language:C7.4k1652.1k3.3k

• ProjectPhysX/FluidX3D

  The fastest and most memory efficient lattice Boltzmann CFD software, running on all GPUs via OpenCL. Free for non-commercial use.

  Language:C++3.8k49174303

• cysmith/neural-style-tf

  TensorFlow (Python API) implementation of Neural Style

  Language:Python3.1k130106828

• SeniorMars/dotfiles

  My Rice Setup

  Language:Shell900116117

• Gonkee/Gepe3D

  Gonkee's Epic Physics Engine 3D (Gepe3D)

  Language:C#492112740

• OlavHN/fast-neural-style

  Fast neural style in tensorflow based on http://arxiv.org/abs/1603.08155

  Language:Python197141452

• rahul-raj/Java-Deep-Learning-Cookbook

  Code for Java Deep Learning Cookbook

  Language:Java18517140

• davidrmiller/neural2d

  Neural net optimized for 2D image data

  Language:C++142243369

• carltheperson/blockamok

  A CPU-only, from-scratch 3D game written in C, where you dodge blocks

  Language:C873312

• PtitGnou/AsciiVideoCPP

  A simple code using OpenCV and C++ to create a ASCII Video based on a MP4 video, or on a Youtube Video.

  Language:C++48228

• wilhelmberghammer/MachineLearning

  [Not Active] This is where I learn machine learning

  Language:Python462013

• PacktPublishing/Java-Deep-Learning-Cookbook

  Java Deep Learning Cookbook, published by Packt

  Language:Java445238

• CertifaiAI/cdle-traininglabs

  Certifai Training Labs Repository using Eclipse Deeplearning4j

  Language:Java4125270

• Wikidepia/RektCAPTCHA

  Automatically Solve ReCAPTCHA with YOLOv5

  Language:Python282312

• benjburkholder/search-intent-categorizer

  This program categorizes a given query's "search intent" via the kinds of SERP features present for the query.

  Language:Python24205

• Moado/Data-Science

  An open source Data Science repository to learn and apply towards solving real world problems.

  234011

• colepeters/multiselect

  Only the finest in multiselect technology

  Language:JavaScript21302

• Hotmoka/hotmoka

  The Hotmoka project

  Language:Java16775

• nafeu/slim-react-starter

  CDN-based React development starter with Snowpack and Skypack

  Language:JavaScript14202

• Firgrep/next-office-booking-app

  Office booking app built in TypeScript using Next.js, React.js, tRPC, NextAuth, Prisma (T3 stack)

  Language:TypeScript13201

• deeparteffects/deepart-api-java-example

  Style transfer API for JAVA: An example JAVA GUI application for neural style transfer using the Deep Art Effects API.

  Language:Java6204

• deepnetts/SpamClassifier

  Spam classification example using deep learning with Deep Netts Community Edition

  Language:Java6117

• bigyanpoudel/react-modal

  The repo shows how to create and open modal in global scope which is the beast approach in terms of performance, reusability, code base and many more.

  Language:TypeScript4104

• codeofrelevancy/cpm-calculator-app

  Build a CPM Calculator App with Next.js 13, TypeScript, Tailwind CSS.

  Language:CSS3102

• karthikraja95/AD-click-prediction

  Language:Jupyter Notebook1100

• klevis/dl4j-examples

  Deeplearning4j Examples (DL4J, DL4J Spark, DataVec)

  Language:Java1201

• Vyshnavmt94/Predict-the-Click-Through-Rate-for-Keywords-Using-Machine-Learning-Methodologies

  Problem Description: An advertising company sells a service of buying keywords in search engines on behalf of their customers. They're trying to optimize their keyword and funds allocation. The first towards the optimal solution is to predict performance by keyword and fund. Goal: Predicting for any keyword (not necessarily the ones in the dataset file), CPC, and market (US/UK) the traffic a website would receive (I.e., the clicks). Data set Description: Description of attributes in data set

  Language:Jupyter Notebook1210