Alternatives and similar repositories for AMEX-AnalyzeThis2017

Users that are interested in AMEX-AnalyzeThis2017 are comparing it to the libraries listed below

• dsgiitr / Visualizing-Loss-Functions
  ☆37Updated 7 years ago
• cbsudux / SOP-Generator
  A simple LSTM based Statement of Purpose Generator for grad school.
  ☆23Updated 6 years ago
• hardik2396 / Pyramidnet
  Pytorch implementation of pyramidnet
  ☆26Updated 7 years ago
• cs763-dl / 2017Spring
  Deep Learning (for Computer Vision) Module - Spring 2017
  ☆14Updated 8 years ago
• harshalmittal4 / Hypergradient_variants
  Improved Hypergradient optimizers for ML, providing better generalization and faster convergence.
  ☆16Updated last year
• HackerEarth-Challenges / machine-learning-challenge-1
  ☆12Updated 7 years ago
• llSourcell / backpropagation_explained
  This is the code for "Backpropagation Explained" By Siraj Raval on Youtube
  ☆36Updated 6 years ago
• pydatadelhi / talks
  Talks at PyData Delhi Meetups
  ☆45Updated 7 years ago
• karanchahal / papers
  Notes on the papers I've read on deep learning. Contributions welcome !
  ☆28Updated 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
• alokwhitewolf / Reinforcement-Learning
  Implementation of various Reinforcement Learning Algorithms
  ☆27Updated 7 years ago
• aribis369 / ML-Starter-Pack
  A collection of Machine Learning algorithms written from sctrach.
  ☆76Updated 6 years ago
• dsgiitr / Emotion-Recognition
  Emotion Recognition
  ☆10Updated 7 years ago
• shivam5992 / aster
  a python based module (bot) to generate kaggle baseline kernels
  ☆26Updated 6 years ago
• NirantK / hindi2vec
  State-of-the-Art Language Modeling and Text Classification in Hindi Language
  ☆220Updated 6 years ago
• cs763 / Spring2018
  Computer Vision Course at IITB, Spring 2018
  ☆44Updated 6 years ago
• dikshant2210 / SS19
  ☆18Updated 5 years ago
• kdexd / lang-emerge-parlai
  Implementation of EMNLP 2017 Paper "Natural Language Does Not Emerge 'Naturally' in Multi-Agent Dialog" using PyTorch and ParlAI
  ☆105Updated 6 years ago
• AI6-Bangalore-Chapter / 2018-cycle-2
  Contents covered in sessions of AI Saturdays (cycle 2) as well as relevant material for further study.
  ☆29Updated 6 years ago
• llSourcell / school_of_ai_chapters
  chapters
  ☆30Updated 6 years ago
• SudalaiRajkumar / IndicNLP
  NLP Resources for Indian Languages
  ☆10Updated 4 years ago
• riddhishb / ipython-notebooks
  ipython-notebooks on popular algorithms meant to be used at technical sessions for IITB students
  ☆28Updated 8 years ago
• adeshpande3 / Machine-Learning-Notes
  Notes for several Machine Learning and Deep Learning courses, textbooks, and talks
  ☆58Updated 6 years ago
• llSourcell / loss_functions_explained
  This is the code for "Loss Functions Explained" By Siraj Raval on Youtube
  ☆41Updated 6 years ago
• dsgiitr / Neural-Style-Transfer
  Keras implementation
  ☆56Updated 3 years ago
• markroxor / fromscratchtoml
  The machine learning library you really understand.
  ☆31Updated last year
• anujgupta82 / Representation-Learning-for-NLP
  ☆51Updated 6 years ago
• Nurture-AI / Worth-More-Attention
  Other than papers from big-name labs and universities, most AI research papers get less than 10 readers, even though there might be gems …
  ☆15Updated 6 years ago
• llSourcell / Introduction_Move37
  This is the code for "Introduction (Move 37)" By Siraj Raval on Youtube
  ☆56Updated 6 years ago
• Puneet2000 / In-Depth-ML
  In depth machine learning resources
  ☆40Updated 6 years ago