frenzytejask98

frenzytejask98's Stars

• donnemartin/system-design-primer

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

  Language:Python268k6.6k29545.3k

• google-research/google-research

  Google Research

  Language:Jupyter Notebook33.7k7481.2k7.8k

• dennybritz/reinforcement-learning

  Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

  Language:Jupyter Notebook20.4k8601556k

• khangich/machine-learning-interview

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

  8.9k21541.5k

• aikorea/awesome-rl

  Reinforcement learning resources curated

  8.8k442121.8k

• udacity/deep-reinforcement-learning

  Repo for the Deep Reinforcement Learning Nanodegree program

  Language:Jupyter Notebook4.8k179352.3k

• elenapan/dotfiles

  There is no place like ~/

  Language:CSS3.5k68169178

• ysh329/deep-learning-model-convertor

  The convertor/conversion of deep learning models for different deep learning frameworks/softwares.

  3.2k12326487

• andrewekhalel/MLQuestions

  Machine Learning and Computer Vision Engineer - Technical Interview Questions

  2.8k272483

• huseinzol05/NLP-Models-Tensorflow

  Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0

  Language:Jupyter Notebook1.7k9629725

• xiadingZ/video-caption.pytorch

  pytorch implementation of video captioning

  Language:Python3991150128

• ixaxaar/pytorch-dnc

  Differentiable Neural Computers, Sparse Access Memory and Sparse Differentiable Neural Computers, for Pytorch

  Language:Python332213756

• cascremers/pdfdiff

  Command-line tool to inspect the difference between (the text in) two PDF files

  Language:Python2074516

• taki0112/ResNeXt-Tensorflow

  Simple Tensorflow implementation of ResNeXt using Cifar10

  Language:Python1589959

• brendanator/atari-rl

  Atari - Deep Reinforcement Learning algorithms in TensorFlow

  Language:Python1379632

• andipollok/Fontastic

  A Processing library to create TrueType font files

  Language:Processing10811319

• kartickvad/Marginal-Tax-Calculator

  Calculates marginal tax for consultants, in both directions (net <-> gross).

  Language:Python84308

• akirk/friends

  A social network between WordPresses. Privacy focused, by itself a self-hosted RSS++ reader with notifications.

  Language:PHP791118114

• rohan-sawhney/multi-agent-rl

  Language:Python764423

• ahmaxed/minimaxarticle

  Language:JavaScript535339

• danielegrattarola/deep-q-atari

  Keras and OpenAI Gym implementation of the Deep Q-learning algorithm to play Atari games.

  Language:Python486215

• Synthetixio/simulation

  Agent-based model of the proposed stablecoin.

  Language:Python24123618

• mindis/notes-2

  83

• BukkaNikhilSai/ML_TA_IIITB_2019

  This repository contains TA sessions work for the Machine Learning course, Aug '19 - Dec '19.

  Language:Jupyter Notebook723

• Aditi-Singla/Spectrum-Allocation

  Telecom spectrum allocation problem using greedy hill climbing search

  Language:C++4100

• Prof-Calculus/password_vault

  A Vault tool to help you maintain your passwords secure and allows you to carry it everywhere

  Language:Scala321

• shvmshukla/Agent-based-modelling-for-simulation-of-telecom-services

  Problem Statement of the project is To develop an ”Agent-based model for simulation of telecom services”. Following applications are also implemented : • Business Analysis • Risk Analysis

  Language:Java3000

• VekotinVerstas/DataHubHel

  mySMARTLife's DataHUB project

  Language:Python35

• SP3269/Agent-Based-Models

  My ABM work

  Language:NetLogo20

• Aztah/distrl

  Distributed Reinforcement Learning

  Language:Jupyter Notebook1