A concise resource repository for machine learning. Here, It'll remain concise but yet to comprehensive for machine learning resources and related stuff. It'll be updated continually with times.

• Book Materials - Online Course - Research Databases - GitHub - Kaggle- Best Blog - Conferences- YouTube Star

Among the following content which are BOLD, you may like to click them first.

Some of the most influential book lists in the related field.

Machine Learning (ML)

• Hands-On ML with Scikit-Learn, Keras, and TensorFlow | Author: Aurélien
• Python Machine Learning | Author: Sebastian
• The Hundred-Page Machine Learning Book | Andriy

Deep Learning

• Deep Learning | Author: Ian Goodfellow
• Deep Learning with Python | Author: Francois
• Deep Learning for Computer Vision with Python | Author: Adrain
• Reinforcement Learning: An Introduction | Richard

Data Science

• Data Mining: Concepts and Techniques
• An Introduction to Statistical Learning: with Applications in R
• Python for Data Analysis
• Learning Spark: Lightning-Fast Big Data Analysis
• High Performance Spark: Best Practices for Scaling and Optimizing Apache Spark

Some of the most influential high rated, resourceful and promising MOOC courses.

Machine Learning

• ML Crash Course | Google
• ML Specialization | Coursera
• ML with Javascript | Udemy
• Google Machine Learning Education

Deep Learning

• UFLDL Tutorial | Stanford Teaching | Stanford CS | CNN for Visual Recognition | Stanford CS | NLP with Deep Learning
• Deep Learning Specialization | Coursera
• Complete Guide to TensorFlow for Deep Learning with Python | Udemy
• Python for Computer Vision with OpenCV and Deep Learning | Udemy
• Deep Learning Computer Vision™ CNN, OpenCV, YOLO, SSD & GANs | Udemy

Data Science

• Python for Data Science | edX
• Big Data Specialization | Coursera
• Python for Data Science and Machine Learning Bootcamp | Udemy
• Spark and Python for Big Data with PySpark | Udemy

Some enrich online research databases.

• Arxiv Sanity Preserver
• FB Research | Apple Machine Learning Journal | Google AI | Open AI
• Distill
• PaperWithCode
• ICLR:OpenReview
• Dataset : OpenDataLab
• Dataset : PaperWithCode DB

Some open source project to facilitate computer vision task, i.e. classification, detection, semanctic / instance / panoptic segmentation, object tracking, keypoint detection, optical character recognition, etc.

• Deep Learning in Medicine

  • NIH Chest X-rays
  • SIIM-ISIC Melanoma Classification
  • 2018 Data Science Bowl - Segmentation
  • Chest X-Ray Images (Pneumonia)
  • Recursion Cellular Image Classification
  • APTOS 2019 Blindness Detection
  • Diabetic Retinopathy Detection
  • TReNDS Neuroimaging
  • SIIM-ACR Pneumothorax Segmentation
  • RSNA Pneumonia Detection Challenge
  • OSIC Pulmonary Fibrosis Progression
  • VinBigData Chest X-ray Abnormalities Detection
  • RANZCR CLiP - Catheter and Line Position Challenge
  • OpenVaccine: COVID-19 mRNA Vaccine Degradation Prediction
  • RSNA STR Pulmonary Embolism Detection
  • Mechanisms of Action (MoA) Prediction
  • Predicting Molecular Properties
  • Prostate cANcer graDe Assessment (PANDA) Challenge
  • RSNA Intracranial Hemorrhage Detection
  • HuBMAP - Hacking the Kidney
  • SIIM-FISABIO-RSNA COVID-19 Detection
  • RSNA-MICCAI Brain Tumor Radiogenomic Classification
  • HuBMAP + HPA - Hacking the Human Body
  • UW-Madison GI Tract Image Segmentation - Segmentation
  • RSNA 2022 Cervical Spine Fracture Detection

• General Competitions

  Classification (Image)

  • Bengali.AI Handwritten Grapheme Classification
  • Understanding Clouds from Satellite Images
  • ALASKA2 Image Steganalysis
  • Cassava Leaf Disease Classification
  • H&M Personalized Fashion Recommendations

  Image Similarity

  • Google Universal Image Embedding
  • Image Matching Challenge
  • Google Landmark Retrieval 2018 - 2019 - 2020 - 2021
  • Google Landmark Recognition 2019 - 2020 - 2021
  • FGVC6

  Detection (CV)

  • Google AI Open Images - Object Detection Track
  • Tensorflow - Help Protect the Great Barrier Reef
  • Global Wheat Detection
  • Severstal: Steel Defect Detection
  • Deepfake Detection Challenge
  • Humpback Whale Identification
  • NFL 1st and Future - Impact Detection
  • Lyft Motion Prediction for Autonomous Vehicles
  • Lyft 3D Object Detection for Autonomous Vehicles
  • Peking University/Baidu - Autonomous Driving

  Segmentation (CV)

  • Airbus Ship Detection Challenge
  • Carvana Image Masking Challenge
  • Dstl Satellite Imagery Feature Detection
  • Understanding Clouds from Satellite Images
  • iMaterialist (Fashion) 2019 at FGVC6
  • Carvana Image Masking Challenge

  Instance Segmentation

  • Sartorius - Cell Instance Segmentation

  Natural Language Processing

  • Google AI4Code
  • Feedback Prize - Evaluating Student Writing
  • Feedback Prize - Predicting Effective Arguments
  • TensorFlow 2.0 Question Answering
  • Google QUEST Q&A Labeling
  • Jigsaw Multilingual Toxic Comment Classification
  • Jigsaw Unintended Bias in Toxicity Classification
  • Toxic Comment Classification Challenge
  • Tweet Sentiment Extraction
  • U.S. Patent Phrase to Phrase Matching
  • Zillow Prize

  Audio

  • Cornell Birdcall Identification
  • BirdCLEF 2022: Identify bird calls in soundscapes

  Generative AI

  • Generative Dog Images
  • Stable Diffusion - Image to Prompts

  Time Series

  • OTTO – Multi-Objective Recommender System

  Special

  • Abstraction and Reasoning Challenge

Very few amount of amazing blogs.

• OpenAI
• Fast-AI
• Google AI Blog
• TensorFlow Blog
• Facebook AI
• Berkeley AI Research
• Depth First Learning
• Polo Club of Data Science
• OpenAI
• Research Blog: Stanford NLP
• PaperWithCode
• Cleverhans | About: Security and privacy in machine learning.
• Andrej Karpathy
• Visualizing ML: Jay Alammar
• Lil'Log
• Kevin Zakka
• Arthur Juliani
• Colah
• Michael Nielsen
• Sebastian Ruder
• PyImageSearch
• Machine Learning Mastery
• Open Source
  • Facebook Opens Source
  • Google Open Source
• Annotated PyTorch Paper Implementations

• CVPR - IEEE Conference on Computer Vision and Pattern Recognition
• NeurIPS : Neural Information Processing Systems (NIPS)
• ECCV : European Conference on Computer Vision
• ICML : International Conference on Machine Learning
• ICCV : IEEE/CVF International Conference on Computer Vision

• DSA | mycodeschool
• Arxiv Insights
• Welch Labs
• 3Blue1Brown
• Edureka
• Sentdex
• Standford School | CNN for Visual Recognition
• Code Bullet
• Khan Academy

If you've anything in mind that you think is awesome and would fit here, feel free to send a pull request or if you're just feeling social, feel free to email me or reach out on LinkedIn.