Deep Learning framework for Julia
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Machine learning in Clojure
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
- bayesian-optimization
- bayesian-optimisation
- hyperparameter-optimization
- hyperparameter-tuning
Links to resources talking about how to learn & understand mathematics, and mathematical language, terminology and notation.
- mathematics
- understanding
- links
Earth observation processing framework for machine learning in Python
- machine-learning
- eo-data
- eo-research
- python-package
An Enterprise-class Blazor Bootstrap Component library built on the Blazor and Bootstrap CSS frameworks.
- blazor
- bootstrap
- bootstrap5
- bootstrap-5
java deep learning algorithms and deep neural networks with gpu acceleration
:chart_with_upwards_trend: Adaptive: parallel active learning of mathematical functions
- adaptive-learning
- machine-learning
- python
- live-plots
NFStream: a Flexible Network Data Analysis Framework.
- data-science
- data-analysis
- data-mining
- network-analysis
:cyclone: Learn R, in R.
A JavaScript library like PyTorch, with GPU acceleration.
- automatic-differentiation
- deep-learning
- javascript-library
- neural-networks
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
TranslatedLearning notes and tooling skills for AI video
- ai-video
- claude-skills
- ffmpeg
- shot-analysis
A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
- drug-repurposing
- deep-learning
- drug-target-interactions
- toolkit
Portfolio optimization with deep learning.
- deep-learning
- portfolio-optimization
- finance
- machine-learning
Computational framework for reinforcement learning in traffic control
- reinforcement-learning
- traffic-control
- benchmark
- autonomous
A curated list of resources for learning about Google Cloud Platform certifications and how to prepare for it.
GRASS - free and open-source geospatial processing engine
- grass-gis
- geospatial
- geospatial-analysis
- raster
Official Repository for the Uni-Mol Series Methods
- molecular-modeling
- pre-trained-model
- pretraining
- deep-learning
GPU-Accelerated Deep Learning Library in Python
A pure Python HTML5 parser that just works. No C extensions to compile. No system dependencies to install. No complex API to learn.
Recent Advances in Vision and Language PreTrained Models (VL-PTMs)
- vision-and-language
- pretraining
- multimodal-deep-learning
- bert
Plug and Play Language Model implementation. Allows to steer topic and attributes of GPT-2 models.
- language-modeling
- natural-language-generation
- machine-learning
- deep-learning
PySpark + Scikit-learn = Sparkit-learn