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Modin: Scale your Pandas workflows by changing a single line of code
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
Learn how to design, develop, deploy and iterate on production-grade ML applications.
📝 An awesome Data Science repository to learn and apply for real world problems.
A curated list of awesome Machine Learning frameworks, libraries and software.
List of Data Science Cheatsheets to rule the world
500 AI Machine learning Deep learning Computer vision NLP Projects with code
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials,…
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
freeCodeCamp.org's open-source codebase and curriculum. Learn to code for free.
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
Visualizer for neural network, deep learning and machine learning models
Latex code for making neural networks diagrams
Coda: a convolutional denoising algorithm for genome-wide ChIP-seq data
Grammar of Scalable Linked Interactive Nucleotide Graphics
🧬 gget enables efficient querying of genomic reference databases
resources for learning bioinformatics
Posit Cheat Sheets - Can also be found at https://posit.co/resources/cheatsheets/.
Informatics for RNA-seq: A web resource for analysis on the cloud. Educational tutorials and working pipelines for RNA-seq analysis including an introduction to: cloud computing, critical file form…
Master programming by recreating your favorite technologies from scratch.
The Ultimate FREE Machine Learning Study Plan
Clustering motif models to remove redundancy
Awesome resources on Bioinformatics, data science, machine learning, programming language (Python, Golang, R, Perl) and miscellaneous stuff.
A collection of various deep learning architectures, models, and tips