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.

Table of Contents

• 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.

Book Materials

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

Online Course

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

Research Databases

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

GitHub (WIP)

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.

| OS Projects | Research Paper | Explained Blogs | |-------|-------|-------| |Detectron2 | Blog | Doc | |OpenMMLab | - | - | |2D Segmentation-PyTorch | - | Doc | |2D Segmentation-Keras | - | Doc | |CAM | Arxiv | Doc | |PythonRobotics | - | - | | - | - | - | |

• ETH VIZ
• ML-From-Scratch
• Awesome Deep Learning
• Awesome Machine Learning

|

• Awesome Python
• Awesome C++
• Awesome JavaScript
• Awesome Scala

|

• Algorithm Visualizer
• Algovis
• Awesome TF-Lite

|

Kaggle

• 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

Best Blog

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

Conferences

• 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

YouTube Star

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

Contact

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.