shenkev / Overfitting-the-ML-Interview

Related projects: ⓘ

• krisrs1128 / Humanitarian-AI
  Weekly humanitarian AI reading group at Mila.
  ☆21Updated 5 years ago
• rishabhk108 / OptimizationML
  Material for my course: Optimization in Machine Learning
  ☆31Updated 3 years ago
• chiphuyen / requests-for-research
  A living collection of deep learning problems
  ☆33Updated 8 years ago
• ohmeow / seq2seq-pytorch-fastai
  Explorations in building seq2seq models using PyTorch and fast.ai
  ☆14Updated 5 years ago
• acmi-lab / papers-worth-reading
  A Curated Set of Papers Actually Worth Reading
  ☆26Updated 2 years ago
• binga / fastai_notes
  My classnotes, experiments, reproducible notebooks from fast.ai Deep Learning Class (v2)
  ☆36Updated 6 years ago
• shagunsodhani / torch-template
  Boiler plate code for Torch based ML projects
  ☆10Updated 3 years ago
• alokwhitewolf / Reinforcement-Learning
  Implementation of various Reinforcement Learning Algorithms
  ☆27Updated 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 5 years ago
• zackchase / machine-learning-resources
  A (possibly/eventually annotated?) collection of resources (books, demos, lectures, etc) that I personally like for various topics in mac…
  ☆31Updated 5 years ago
• Machine-Learning-Tokyo / Intro-to-GANs
  This code was developed for the Intro to GANs workshop for Machine Learning Tokyo (MLT).
  ☆66Updated 5 years ago
• abhishekkrthakur / pysembler
  An automatic ensembler of machine learning models in python
  ☆67Updated 7 years ago
• jph00 / hello_nbdev
  A tutorial example for nbdev
  ☆15Updated 2 years ago
• ADGEfficiency / dsr-rl
  Reinforcement learning course at Data Science Retreat
  ☆42Updated 5 years ago
• uber-research / GTN
  ☆76Updated 4 years ago
• dobriban / Topics-in-deep-learning
  Materials for class on topics in deep learning (STAT 991, UPenn/Wharton)
  ☆94Updated last year
• cbsudux / SOP-Generator
  A simple LSTM based Statement of Purpose Generator for grad school.
  ☆21Updated 5 years ago
• vruvora / reinforcement-learning-kdd
  ☆42Updated 6 years ago
• apaszke / examples
  A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
  ☆10Updated 4 years ago
• Machine-Learning-Tokyo / Reinforcement_Learning
  Material for MLT Reinforcement Learning workshops and study sessions
  ☆50Updated 4 years ago
• KeremTurgutlu / 120-Data-Science-Interview-Questions
  Answers to 120 commonly asked data science interview questions.
  ☆23Updated 6 years ago
• sdoria / EfficientNet
  Converting EfficientNet to Pytorch for use with fastai
  ☆27Updated 5 years ago
• yanneta / deep-learning-with-pytorch
  ☆48Updated 4 years ago
• dhuynh95 / fastai_bayesian
  Quick modules to turn regular Neural Networks to Bayesian Neural Networks with Dropout.
  ☆35Updated 3 years ago
• DanielhCarranza / ml-production-template
  This codebase is a starting point to get your Machine Learning project into Production.
  ☆42Updated 3 years ago
• floringogianu / paper-notebooks
  A collection of notebooks aiding the understanding of machine-learning papers.
  ☆10Updated 3 years ago
• morganmcg1 / ntentional
  The ntentional blog - a machine learning journey
  ☆23Updated last year
• zkid18 / DRL4Recsys
  Courses on Deep Reinforcement Learning (DRL) and DRL papers for recommender systems
  ☆17Updated 2 years ago
• omarsar / clinical_nlp_elastic
  Clinical NLP Analysis with Elasticsearch and Kibana
  ☆34Updated 5 years ago
• Ifiokcharles / COVID-19-Anti-viral-cure-using-deep-reinforcement-learning
  ☆20Updated 4 years ago