awesome-machine-learning-datascience_resources
Curated Collection of Online and Free Resources for serious learning of Machine Learning and Data Science.
https://github.com/rohan-paul/awesome-machine-learning-datascience_resources
Last synced: 2 days ago
JSON representation
-
Awesome Deep Learning Projects
- 15 AI and Machine Learning Events
- 188 examples of artificial intelligence in action
- A curated list of automated machine learning papers, articles, tutorials, slides and projects
- A curated list of awesome Machine Learning frameworks, libraries and software.
- A curated list of awesome places to learn and/or practice algorithms.
- A curated list of awesome R packages and tools
- A curated list of awesome SLAM tutorials, projects and communities.
- A curated list of resources dedicated to bridge between coginitive science and deep learning
- A curated list of resources dedicated to Natural Language Processing (NLP)
- A curated list of resources for NLP (Natural Language Processing) for Chinese
- Another curated list of deep learning resources
- A list of artificial intelligence tools you can use today
- A list of deep learning implementations in biology
- Awesome-2vec
- Awesome Action Recognition
-
Best Courses
- Stanford CS 231N - CNNs
- Stanford CS 224D - Deep Learning for NLP
- David Silver's Reinforcement Learning Course
- Andrew Ng Machine Learning Course
- Stanford CS 229 - Pretty much the same as the Coursera course
- Short MIT Intro to DL Course
- Udacity Deep Learning
- Intro to Neural Nets and ML (Univ of Toronto)
- Deep RL Bootcamp
- CMU Neural Networks for NLP
- Bay Area Deep Learning School Day 1 2016
- Caltech CS 156 - Machine Learning
- Berkeley EE 227C - Convex Optimization
- Intro to Neural Nets and ML (Univ of Toronto)
- CMU Neural Networks for NLP
- Stanford CS 229 - Pretty much the same as the Coursera course
- Deep Learning School Montreal 2016
-
Best Deep Learning Courses
- Berkeley
- CUHK
- CMU
- CMU
- UFLDL Tutorial 1
- UFLDL Tutorial 2
- Deep Learning from the Bottom up
- Theano Tutorial
- Deep Learning with R in Motion
- Grokking Deep Learning in Motion
- Machine Learning, Data Science and Deep Learning with Python
- Berkeley
- A Deep Learning Tutorial: From Perceptrons to Deep Networks
- Berkeley
- Deep Learning for NLP (without Magic)
-
Blogs and other Community based resources
- Towards Data Science
- KD Nuggets
- Andrew Ng
- I Am Trask
- colah
- Most Viewed Machine Learning writers
- Data Science Topic on Quora
- William Chen's Answers
- Michael Hochster's Answers
- Ricardo Vladimiro's Answers
- Storytelling with Statistics
- Data Science FAQs on Quora
- Machine Learning FAQs on Quora
- Great Machine Learnings Blog
- Microsoft Machine Learning Blog
- News on Artificial Intelligence and Machine Learning
- Machine Learning | Latest News, Photos & Videos | WIRED
- Analytics India Magazine | Artificial Intelligence & Data Science stories
- Blogs on Artificial Intelligence, Machine Learning, Python & Data Science
- Applied AI for Business: Industry Newsletter for Executives Applying Machine Learning to Enterprises - TOPBOTS
- The Week in Data – The ODI
- Import AI
- Data Elixir - News and resources for data science practitioners
- Dataconomy Home - Dataconomy
- Yannic Kilcher
- Towards AI — Multidisciplinary Science Journal – Medium
- Newest 'machine-learning' Questions - Stack Overflow
- Weekly topics - Dataquest Community
- Reddit - Machine Learning
- Reddit - Learn Machine Learning
- Reddit - Deep Learning
- Reddit - A Powerful Machine Intelligence Library
- Reddit GoogleColabNotebooks
- machinelearningmastery.com/blog/
- Machine Learning(Theory)
- Machine Learning Blog, ML@CMU, Carnegie Mellon University
- Amazon Science Blog
- AWS Machine Learning Blog
- distill
- BAIR - Berkeley Artificial Intelligence Research
- openai.com/
- MIT Machine Learning
- Facebook AI
- Towards AI — Multidisciplinary Science Journal – Medium
- The Data Science Roundup | Revue
- Sebastian Ruder
-
Deep Learning Resources
-
Finance Related Datasets
-
Forecasting Project Ideas
-
General Datasets
- MNIST
- Google House Numbers
- CIFAR-10 and CIFAR-100
- hadoopilluminated.com
- data.gov - The home of the U.S. Government's open data
- Tiny Images
- Flickr Data
- Berkeley Segmentation Dataset 500
- Flickr 30k
- Microsoft COCO
- datahub.io
- Image QA
- AT&T Laboratories Cambridge face database
- AVHRR Pathfinder
- usgovxml.com
- Amsterdam Library of Object Images - ALOI is a color image collection of one-thousand small objects, recorded for scientific purposes. In order to capture the sensory variation in object recordings, we systematically varied viewing angle, illumination angle, and illumination color for each object, and additionally captured wide-baseline stereo images. We recorded over a hundred images of each object, yielding a total of 110,250 images for the collection. (Formats: png)
- Annotated face, hand, cardiac & meat images - Most images & annotations are supplemented by various ASM/AAM analyses using the AAM-API. (Formats: bmp,asf)
- Image Analysis and Computer Graphics
- Brown University Stimuli - A variety of datasets including geons, objects, and "greebles". Good for testing recognition algorithms. (Formats: pict)
- CCITT Fax standard images - 8 images (Formats: gif)
- CMU PIE Database - A database of 41,368 face images of 68 people captured under 13 poses, 43 illuminations conditions, and with 4 different expressions.
- CMU VASC Image Database - Images, sequences, stereo pairs (thousands of images) (Formats: Sun Rasterimage)
- Caltech Image Database - about 20 images - mostly top-down views of small objects and toys. (Formats: GIF)
- Columbia-Utrecht Reflectance and Texture Database - Texture and reflectance measurements for over 60 samples of 3D texture, observed with over 200 different combinations of viewing and illumination directions. (Formats: bmp)
- Computational Colour Constancy Data - A dataset oriented towards computational color constancy, but useful for computer vision in general. It includes synthetic data, camera sensor data, and over 700 images. (Formats: tiff)
- Content-based image retrieval database - 11 sets of color images for testing algorithms for content-based retrieval. Most sets have a description file with names of objects in each image. (Formats: jpg)
- Densely Sampled View Spheres - Densely sampled view spheres - upper half of the view sphere of two toy objects with 2500 images each. (Formats: tiff)
- Digital Embryos - Digital embryos are novel objects which may be used to develop and test object recognition systems. They have an organic appearance. (Formats: various formats are available on request)
- Univerity of Minnesota Vision Lab
- FG-NET Facial Aging Database - Database contains 1002 face images showing subjects at different ages. (Formats: jpg)
- FVC2000 Fingerprint Databases - FVC2000 is the First International Competition for Fingerprint Verification Algorithms. Four fingerprint databases constitute the FVC2000 benchmark (3520 fingerprints in all).
- Biometric Systems Lab - University of Bologna
- German Fingerspelling Database - The database contains 35 gestures and consists of 1400 image sequences that contain gestures of 20 different persons recorded under non-uniform daylight lighting conditions. (Formats: mpg,jpg)
- Language Processing and Pattern Recognition
- Groningen Natural Image Database - 4000+ 1536x1024 (16 bit) calibrated outdoor images (Formats: homebrew)
- ICG Testhouse sequence - 2 turntable sequences from ifferent viewing heights, 36 images each, resolution 1000x750, color (Formats: PPM)
- IEN Image Library - 1000+ images, mostly outdoor sequences (Formats: raw, ppm)
- INRIA's Syntim images database - 15 color image of simple objects (Formats: gif)
- INRIA's Syntim stereo databases - 34 calibrated color stereo pairs (Formats: gif)
- Image Analysis Laboratory - Images obtained from a variety of imaging modalities -- raw CFA images, range images and a host of "medical images". (Formats: homebrew)
- Image Database - An image database including some textures
- JAFFE Facial Expression Image Database - The JAFFE database consists of 213 images of Japanese female subjects posing 6 basic facial expressions as well as a neutral pose. Ratings on emotion adjectives are also available, free of charge, for research purposes. (Formats: TIFF Grayscale images.)
- ATR Research, Kyoto, Japan
- MIT Vision Texture - Image archive (100+ images) (Formats: ppm)
- Machine Vision - Images from the textbook by Jain, Kasturi, Schunck (20+ images) (Formats: GIF TIFF)
- Mammography Image Databases - 100 or more images of mammograms with ground truth. Additional images available by request, and links to several other mammography databases are provided. (Formats: homebrew)
- Middlebury Stereo Data Sets with Ground Truth - Six multi-frame stereo data sets of scenes containing planar regions. Each data set contains 9 color images and subpixel-accuracy ground-truth data. (Formats: ppm)
- Middlebury Stereo Vision Research Page - Middlebury College
- Modis Airborne simulator, Gallery and data set - High Altitude Imagery from around the world for environmental modeling in support of NASA EOS program (Formats: JPG and HDF)
- National Design Repository - Over 55,000 3D CAD and solid models of (mostly) mechanical/machined engineering designs. (Formats: gif,vrml,wrl,stp,sat)
- Geometric & Intelligent Computing Laboratory
- OSU (MSU) 3D Object Model Database - several sets of 3D object models collected over several years to use in object recognition research (Formats: homebrew, vrml)
- OSU (MSU/WSU) Range Image Database - Hundreds of real and synthetic images (Formats: gif, homebrew)
- Otago Optical Flow Evaluation Sequences - Synthetic and real sequences with machine-readable ground truth optical flow fields, plus tools to generate ground truth for new sequences. (Formats: ppm,tif,homebrew)
- Vision Research Group
- Photometric 3D Surface Texture Database - This is the first 3D texture database which provides both full real surface rotations and registered photometric stereo data (30 textures, 1680 images). (Formats: TIFF)
- SEQUENCES FOR OPTICAL FLOW ANALYSIS (SOFA) - 9 synthetic sequences designed for testing motion analysis applications, including full ground truth of motion and camera parameters. (Formats: gif)
- Computer Vision Group
- Stereo Images with Ground Truth Disparity and Occlusion - a small set of synthetic images of a hallway with varying amounts of noise added. Use these images to benchmark your stereo algorithm. (Formats: raw, viff (khoros), or tiff)
- Stuttgart Range Image Database - A collection of synthetic range images taken from high-resolution polygonal models available on the web (Formats: homebrew)
- The MIT-CSAIL Database of Objects and Scenes - Database for testing multiclass object detection and scene recognition algorithms. Over 72,000 images with 2873 annotated frames. More than 50 annotated object classes. (Formats: jpg)
- The RVL SPEC-DB (SPECularity DataBase) - A collection of over 300 real images of 100 objects taken under three different illuminaiton conditions (Diffuse/Ambient/Directed). -- Use these images to test algorithms for detecting and compensating specular highlights in color images. (Formats: TIFF )
- Robot Vision Laboratory
- The Xm2vts database - The XM2VTSDB contains four digital recordings of 295 people taken over a period of four months. This database contains both image and video data of faces.
- Centre for Vision, Speech and Signal Processing
- Traffic Image Sequences and 'Marbled Block' Sequence - thousands of frames of digitized traffic image sequences as well as the 'Marbled Block' sequence (grayscale images) (Formats: GIF)
- IAKS/KOGS
- U Oulu wood and knots database - Includes classifications - 1000+ color images (Formats: ppm)
- UCID - an Uncompressed Colour Image Database - a benchmark database for image retrieval with predefined ground truth. (Formats: tiff)
- UMass Vision Image Archive - Large image database with aerial, space, stereo, medical images and more. (Formats: homebrew)
- USF Range Image Data with Segmentation Ground Truth - 80 image sets (Formats: Sun rasterimage)
- University of Oulu Physics-based Face Database - contains color images of faces under different illuminants and camera calibration conditions as well as skin spectral reflectance measurements of each person.
- Machine Vision and Media Processing Unit
- University of Oulu Texture Database - Database of 320 surface textures, each captured under three illuminants, six spatial resolutions and nine rotation angles. A set of test suites is also provided so that texture segmentation, classification, and retrieval algorithms can be tested in a standard manner. (Formats: bmp, ras, xv)
- Machine Vision Group
- View Sphere Database - Images of 8 objects seen from many different view points. The view sphere is sampled using a geodesic with 172 images/sphere. Two sets for training and testing are available. (Formats: ppm)
- PRIMA, GRAVIR
- Wiry Object Recognition Database - Thousands of images of a cart, ladder, stool, bicycle, chairs, and cluttered scenes with ground truth labelings of edges and regions. (Formats: jpg)
- 3D Vision Group
- Yale Face Database - 165 images (15 individuals) with different lighting, expression, and occlusion configurations.
- Yale Face Database B - 5760 single light source images of 10 subjects each seen under 576 viewing conditions (9 poses x 64 illumination conditions). (Formats: PGM)
- Center for Computational Vision and Control
- DeepMind QA Corpus - Textual QA corpus from CNN and DailyMail. More than 300K documents in total. [Paper](http://arxiv.org/abs/1506.03340) for reference.
- YouTube-8M Dataset - YouTube-8M is a large-scale labeled video dataset that consists of 8 million YouTube video IDs and associated labels from a diverse vocabulary of 4800 visual entities.
- Open Images dataset - Open Images is a dataset of ~9 million URLs to images that have been annotated with labels spanning over 6000 categories.
- Visual Object Classes Challenge 2012 (VOC2012) - VOC2012 dataset containing 12k images with 20 annotated classes for object detection and segmentation.
- Fashion-MNIST - MNIST like fashion product dataset consisting of a training set of 60,000 examples and a test set of 10,000 examples. Each example is a 28x28 grayscale image, associated with a label from 10 classes.
- Large-scale Fashion (DeepFashion) Database - Contains over 800,000 diverse fashion images. Each image in this dataset is labeled with 50 categories, 1,000 descriptive attributes, bounding box and clothing landmarks
- FakeNewsCorpus - Contains about 10 million news articles classified using [opensources.co](http://opensources.co) types
Categories
General Datasets
114
Most Important Deep Learning Papers
67
Kaggle Strategies and skills
66
Blogs and other Community based resources
46
Numpy
22
List of Most Starred Github Projects related to Deep Learning
19
Top Machine Learning Podcasts
18
Best Courses
17
Best Deep Learning Courses
15
Linear Regression Tutorials
15
Awesome Deep Learning Projects
15
Logistic Regression Tutorials
12
Natural Language Project Ideas
11
Super Large Kaggle Datasets
11
Finance Related Datasets
8
ML Math
8
Inspirational Stories of people breaking into Machine Learning and Data-Science
8
Kaggle Competitions WriteUp
6
Interview-Related-Links
6
Project Ideas for deep learning and general machine learning
6
Genetic Algorithms
6
Deep Learning Resources
5
Forecasting Project Ideas
5
TensorFlow
4
Recommendation systems Project Ideas
3
K Nearest Neighbors Tutorials
3
Natural Language Processing (NLP)
2
If you are new to Data Science
2
Some of the Best Kaggle Competitions for Beginners
2
Machine Learning & Deep Learning Tutorials
1
Statistics
1
Sub Categories
Keywords
machine-learning
23
deep-learning
20
python
12
tensorflow
9
awesome
8
nlp
7
awesome-list
7
natural-language-processing
5
computer-vision
5
data-science
4
neural-network
4
pytorch
4
scikit-learn
3
distributed-systems
3
deep-neural-networks
3
pretrained-models
2
resources
2
deeplearning
2
neural-networks
2
tutorial
2
opencv
2
pose-estimation
2
cpp
2
gpu
2
numpy
2
lstm
2
pandas
2
data-analysis
2
list
2
science
1
deep-networks
1
programming-language
1
numerical
1
julialang
1
julia-language
1
julia
1
hpc
1
vlm
1
transformer
1
speech-recognition
1
face-images
1
qwen
1
pytorch-transformers
1
model-hub
1
llm
1
recurrent-networks
1
glm
1
gemma
1
activity-understanding
1
activity-recognition
1