Alternatives and similar repositories for ML-Math:

Users that are interested in ML-Math are comparing it to the libraries listed below

• Machine-Learning-Tokyo / generative_deep_learning
  Generative Deep Learning Sessions led by Anugraha Sinha (Machine Learning Tokyo)
  ☆24Updated 4 years ago
• Machine-Learning-Tokyo / MLTx2020
  ☆12Updated 2 years ago
• Machine-Learning-Tokyo / ML_Fairness_Ethics_Explainability
  Fairness, Ethics, Explainability in AI and ML
  ☆22Updated 4 years ago
• Machine-Learning-Tokyo / paper_readings
  Material for the Paper Reading sessions organized by Machine Learning Tokyo
  ☆14Updated 5 years ago
• Machine-Learning-Tokyo / NLP
  ☆13Updated 4 years ago
• Machine-Learning-Tokyo / ML_Math
  This repo contains resources from our MLT math lectures.
  ☆14Updated 5 years ago
• Machine-Learning-Tokyo / tactile_patterns
  Convert photo to tactile image to assist visually impaired
  ☆16Updated 2 years ago
• j-cunanan / MLT-contributions
  ☆22Updated 4 years ago
• Machine-Learning-Tokyo / practical-ml-implementations
  ML implementations for practical use
  ☆15Updated 4 years ago
• Machine-Learning-Tokyo / kuzushiji-lite
  OCR for recognizing Kuzushiji from ancient Japanese manuscripts deployed for end-users
  ☆19Updated 4 years ago
• Machine-Learning-Tokyo / Edge-AI-Tutorials
  Collection of Edge AI tutorials
  ☆12Updated 5 years ago
• Machine-Learning-Tokyo / Reinforcement_Learning
  Material for MLT Reinforcement Learning workshops and study sessions
  ☆51Updated 4 years ago
• dair-ai / nlp_highlights
  ✨ A report of the most important NLP highlights (A Yearly Report - 2018, 2019)
  ☆16Updated 4 years ago
• dair-ai / nlp_overview
  📘Overview of Modern Deep Learning Techniques Applied to Natural Language Processing
  ☆48Updated 5 years ago
• fastai / book.fast.ai
  Information for readers of the fastai book
  ☆67Updated 4 years ago
• 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
• zkid18 / DRL4Recsys
  Courses on Deep Reinforcement Learning (DRL) and DRL papers for recommender systems
  ☆17Updated 2 years ago
• ai-fast-track / fastai-visual-guide
  Notebooks for Fastai Viusal Guide
  ☆25Updated last year
• henripal / maps_webapp
  ☆13Updated 6 years ago
• Machine-Learning-Tokyo / MLT_Talks
  Slides, videos and other resources from MLT Talks
  ☆108Updated 4 years ago
• Machine-Learning-Tokyo / ELSI-DL-Bootcamp
  Intro to Machine Learning and Deep Learning for Earth-Life Sciences
  ☆14Updated 5 years ago
• Machine-Learning-Tokyo / Annotation_Tools
  Open Source Annotation Tools for Computer Vision and NLP tasks
  ☆53Updated 3 years ago
• muellerzr / nbdev_colab
  Utilizing nbdev in Google Colaboratory
  ☆14Updated last year
• Machine-Learning-Tokyo / Agritech
  ☆12Updated 5 years ago
• M-68 / ActivationFunctions
  Implementing activation functions from scratch in Tensorflow.
  ☆36Updated 3 years ago
• Machine-Learning-Tokyo / AI-ML-Newsletter
  AI Digest: Monthly updates on AI and ML topics
  ☆105Updated 4 years ago
• Machine-Learning-Tokyo / intro-to-DL
  ☆21Updated 4 years ago
• dair-ai / research_emotion_analysis
  Multilingual emotion analysis research
  ☆20Updated 11 months ago
• rasbt / interpretable-ml-article
  Code examples for my Interpretable Machine Learning Blog Series
  ☆56Updated 4 years ago
• ariG23498 / RNN_Viz
  Sequence models in Numpy
  ☆25Updated 4 years ago