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📚 Freely available programming books
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
An opinionated list of awesome Python frameworks, libraries, software and resources.
A curated list of awesome Machine Learning frameworks, libraries and software.
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
Turns Data and AI algorithms into production-ready web applications in no time.
Machine Learning Engineering Open Book
music library manager and MusicBrainz tagger
Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals
An open source implementation of CLIP.
Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable,…
A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
Bayesian Modeling and Probabilistic Programming in Python
A Python implementation of global optimization with gaussian processes.
The property-based testing library for Python
tensorboard for pytorch (and chainer, mxnet, numpy, ...)
Accessible large language models via k-bit quantization for PyTorch.
Distributed Asynchronous Hyperparameter Optimization in Python
Efficiently computes derivatives of NumPy code.
Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling sa…