Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
- machine-learning
- deep-learning
- deep-neural-networks
- pattern-recognition
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Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
The public CGAL repository, see the README below
Accelerated deep learning R&D
List of articles related to deep learning applied to music
Optax is a gradient processing and optimization library for JAX.
MLBox is a powerful Automated Machine Learning python library.
My curated list of audio DSP and plugin development resources (Github fork)
ObsPy: A Python Toolbox for seismology/seismological observatories.
GRASS - free and open-source geospatial processing engine
Automated image compression for efficiently distributing images on the web.
Molecular Processing Made Easy.
A Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
🧫 A curated list of resources relevant to doing Biomedical Information Extraction (including BioNLP)
Tools for computational pathology
HDR Toolbox for processing High Dynamic Range (HDR) images into MATLAB and Octave
The fast Continuous Wavelet Transform (fCWT) is a library for fast calculation of CWT.
Allocators, I/O streams, math, geometry, image and audio processing for D
PyTorch Connectomics: segmentation toolbox for EM connectomics
Numpy-like library in swift. (Multi-dimensional Array, ndarray, matrix and vector library)
Apache cTAKES is a Natural Language Processing (NLP) platform for clinical text.
Instructions for building an almost consumer hardware based prototype of a hearing aid
Kraft Physics Engine is an open source Object Pascal physics engine library that can be used in 3D games.
Nellie: Automated organelle segmentation, tracking, and hierarchical feature extraction in 2D/3D live-cell microscopy
The Mines Java Toolkit