Alternatives and similar repositories for Neo:

Users that are interested in Neo are comparing it to the libraries listed below

• Machine-Learning-Tokyo / Intro-to-GANs
  This code was developed for the Intro to GANs workshop for Machine Learning Tokyo (MLT).
  ☆66Updated 6 years ago
• souvikb07 / PyTorch-Scholarship-Challenge
  All the codes and daily report for PyTorch Scholarship Challenge!
  ☆17Updated 6 years ago
• jamesdellinger / fastai_deep_learning_course_part2_v3
  My projects for fast.ai's Deep Learning from the Foundations course (fast.ai part2v3)
  ☆39Updated 5 years ago
• TarrySingh / Deep-Learning-Papers-Reading-Roadmap
  Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
  ☆73Updated last year
• karanchahal / papers
  Notes on the papers I've read on deep learning. Contributions welcome !
  ☆28Updated 5 years ago
• radekosmulski / tgs_salt_solution
  ☆23Updated 6 years ago
• sayakpaul / ML-Bootcamp-Launchpad
  Contains notebooks prepared for ML Bootcamp organized by Google Developers Launchpad.
  ☆52Updated 5 years ago
• mxbi / mlnd-capstone
  ML Nanodegree Capstone Project - Predicting NYC Taxi Trip Duration
  ☆12Updated 7 years ago
• greydanus / pythonic_ocr
  A convolutional neural network implemented in pure numpy.
  ☆68Updated 7 years ago
• goodrahstar / draw-neural-network
  Quick tool to draw fully connected neural network architectures
  ☆43Updated 4 years ago
• williamFalcon / keras-deep-learning-paper-implementations
  Keras implementation of Deep Learning papers
  ☆94Updated 6 years ago
• llSourcell / Google_Dopamine_LIVE
  This is the code for "Google Dopamine (LIVE)" by Siraj Raval on Youtube
  ☆65Updated 6 years ago
• shubham14 / Deep-Learning-Pytorch
  A repo containing code covering various aspects of deep learning on Pytorch. Great for beginners and intermediate in the field
  ☆58Updated 2 years ago
• AdityaSoni19031997 / Machine-Learning
  My Attempt(s) In The World Of ML/DL....
  ☆94Updated 10 months ago
• alokwhitewolf / Reinforcement-Learning
  Implementation of various Reinforcement Learning Algorithms
  ☆27Updated 7 years ago
• AakashKumarNain / AugMix_TF2
  TF2.0 port for Augmix paper
  ☆79Updated 5 years ago
• llSourcell / Neural_Arithmetic_Logic_Units
  This is the code for "Neural Arithmetic Logic Units" By Siraj Raval on Youtube
  ☆91Updated 6 years ago
• Tgaaly / pytorch-cheatsheet
  Pytorch Cheatsheet
  ☆90Updated 6 years ago
• SudalaiRajkumar / IndicNLP
  NLP Resources for Indian Languages
  ☆10Updated 4 years ago
• pankajarm / fastai-vision-app
  Starter Pack for creating fast responsive Web App for Fast.AI Vision models
  ☆50Updated 5 months ago
• llSourcell / loss_functions_explained
  This is the code for "Loss Functions Explained" By Siraj Raval on Youtube
  ☆41Updated 6 years ago
• TarrySingh / deep-reinforcement-learning
  Repo for the Deep Reinforcement Learning Nanodegree program
  ☆12Updated last year
• llSourcell / Deep_Learning_with_Intel
  This is the code for "Deep Learning with Intel" By Siraj Raval on Youtube
  ☆38Updated 6 years ago
• dsgiitr / Visualizing-Loss-Functions
  ☆37Updated 7 years ago
• llSourcell / AI_for_Video_Games_Syllabus
  This is the Sylllabus for Siraj Raval's Reinforcement Learning course "AI for Video Games" on Youtube
  ☆64Updated 7 years ago
• ifding / deep-learning-python
  Deep Learning using Python/C++/OpenCV
  ☆18Updated 9 months ago
• pmlg / deep-rl-bootcamp
  Deep RL Bootcamp solutions
  ☆35Updated 7 years ago
• DebPanigrahi / Machine-Learning
  Machine learning algorithms
  ☆112Updated 6 years ago
• cs763-dl / 2017Spring
  Deep Learning (for Computer Vision) Module - Spring 2017
  ☆14Updated 8 years ago
• jcatanza / Fastai-Deep-Learning-From-the-Foundations-TWiML-Study-Group
  Review materials for the TWiML Study Group. Contains annotated versions of the original Jupyter noteboooks (look for names like *_jcat.ip…
  ☆26Updated 5 years ago