Alternatives and similar repositories for deep-learning-roadmap

Users that are interested in deep-learning-roadmap are comparing it to the libraries listed below

• mawady / RoadToFAANG_CV
  The Hitchhiker’s guide in getting a FAANG job (Computer Vision)
  ☆89Updated 2 years ago
• mheriyanto / machine-learning-in-computer-vision
  References list for machine learning and deep learning in computer vision.
  ☆116Updated 2 years ago
• ahkarami / Great-Deep-Learning-Tutorials
  A Great Collection of Deep Learning Tutorials and Repositories
  ☆279Updated 3 weeks ago
• antoinebrl / awesome-ml-blogs
  Curated list of technical blogs on machine learning · AI/ML/DL/CV/NLP/MLOps
  ☆231Updated 7 months ago
• ashishtele / Quick-Notes-for-ML-DS
  It contains interview preparation notes provided by iNeuron, important links, MLOps resources
  ☆121Updated 4 months ago
• uzi0espil / research-papers-implementation
  Implementing and summarizing interesting research papers in Machine Learning and Neural Network domain.
  ☆18Updated 3 years ago
• deep-diver / semantic-segmentation-ml-pipeline
  Machine Learning Pipeline for Semantic Segmentation with TensorFlow Extended (TFX) and various GCP products
  ☆96Updated 2 years ago
• xettrisomeman / Machine-Leaarning-Engineer-Roadmap
  A simple roadmap to become a machine learning engineer.
  ☆97Updated 4 years ago
• mawady / awesome-cv
  Curated educational list for computer vision
  ☆127Updated last month
• vinija / LeetCode
  ☆211Updated 9 months ago
• PacktPublishing / Mastering-PyTorch
  Mastering PyTorch, published by Packt
  ☆301Updated last year
• ashishpatel26 / 365-Days-Computer-Vision-Learning-Linkedin-Post
  365 Days Computer Vision Learning Linkedin Post
  ☆661Updated 3 years ago
• ashishpatel26 / Best-Audio-Classification-Resources-with-Deep-learning
  List of articles related to deep learning applied to music
  ☆94Updated 5 years ago
• sushant097 / Deep-Learning-Papers-Reading
  30 Days GANs Paper Reading
  ☆44Updated 2 years ago
• ThinamXx / ML..Interview..Preparation
  Preparation for Machine Learning Interview
  ☆184Updated 7 months ago
• rasbt / courses
  This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)
  ☆41Updated 2 years ago
• primaprashant / ml-engineering-blogs
  📚 Curated list of machine learning engineering blogs.
  ☆40Updated 2 months ago
• wandb / Groundbreaking-Papers
  ML Research paper summaries, annotated papers and implementation walkthroughs
  ☆114Updated 3 years ago
• amanchadha / coursera-machine-learning-engineering-for-prod-mlops-specialization
  Programming assignments and quizzes from all courses within the Machine Learning Engineering for Production (MLOps) specialization offere…
  ☆460Updated last year
• the-full-stack / fsdl-text-recognizer-2022
  Source of the FSDL 2022 labs, which are at https://github.com/full-stack-deep-learning/fsdl-text-recognizer-2022-labs
  ☆81Updated last year
• ashishpatel26 / Awesome-Pytorch-Tutorials
  Awesome Pytorch Tutorials
  ☆31Updated 3 years ago
• amanchadha / 100-nlp-papers
  100 Must-Read NLP Papers
  ☆51Updated 4 years ago
• amanchadha / Data-science
  Collection of useful data science topics along with code and articles
  ☆26Updated 3 years ago
• vinija / AI-Coding
  AI algorithms
  ☆138Updated 10 months ago
• analyticsbot / ml-system-design
  ☆85Updated 5 months ago
• IITGuwahati-AI / Paper-discussions
  Papers discussed in the meetings of IITG.ai with summaries and resources.
  ☆21Updated last year
• tzxiang / awesome-computer-vision-papers
  A list of papers and other resources on computer vision and deep learning.
  ☆25Updated 4 years ago
• deshwalmahesh / DataScience-StudyMaterial
  Just some stuff for Interview questions, books, annotated paper, notes, cheat sheets etc etc related to ML,AI, Deep Learning and Data Sc…
  ☆114Updated last month
• zafstojano / ml-interview-questions-and-answers
  This repo contains my solutions to “Introduction to Machine Learning Interviews” by Chip Huyen.
  ☆159Updated 11 months ago
• Anri-Lombard / Coursera-Machine-Learning-Specialization-2022
  Learning Fundamentals of Machine Learning all over along with Stanford's Andrew Ng
  ☆48Updated 2 years ago