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Discover 4,064 open source projects
Showing 3081-3100 of 4,064 projects
brendenlake/omniglot
Omniglot dataset for one-shot learning experiments in MATLAB
zama-ai/concrete-ml
A Python library for privacy-preserving machine learning using Fully Homomorphic Encryption.
logpai/loglizer
A machine learning toolkit for log-based anomaly detection in AI/ML operations (AIOps)
SakanaAI/evolutionary-model-merge
An open-source Python library for optimizing and merging machine learning models using evolutionary algorithms.
oracle/tribuo
Tribuo is a Java machine learning library for classification, clustering, regression, and NLP tasks.
dzyim/ilya-sutskever-recommended-reading
A curated list of research papers on deep learning recommended by Ilya Sutskever for developers.
epfml/OptML_course
This is an EPFL course on optimization for machine learning, focused on Jupyter Notebook usage.
jrzaurin/pytorch-widedeep
A flexible package for multimodal deep learning to combine tabular, text, and image data using Wide and Deep models in PyTorch.
FareedKhan-dev/all-rl-algorithms
A comprehensive implementation of all reinforcement learning algorithms in a simpler way.
andyzeng/tsdf-fusion-python
Python code to fuse multiple RGB-D images into a TSDF voxel volume for 3D reconstruction.
DragonComputer/Dragonfire
An open-source virtual assistant for Ubuntu-based Linux distributions, focused on speech recognition and natural language processing.
ViktorUJ/cks
Open-source platform for learning Kubernetes and AWS EKS, and preparing for Certified Kubernetes exams (CKA, CKS, CKAD)
explosion/spacy-transformers
Use pre-trained transformer models like BERT, GPT-2, and XLNet in the spaCy NLP library.
geohot/ai-notebooks
A collection of Jupyter Notebooks implementing various AI algorithms for developers to learn and experiment with.
201206030/novel-cloud
A Spring Cloud microservice project for developers to learn and practice building cloud-native Java applications.
sylefeb/Silice
Silice is a powerful hardware description language that simplifies designing hardware algorithms with parallelism and pipelines.
andresvourakis/data-scientist-handbook
A curated collection of resources to help aspiring and experienced data scientists in their career journey.
MiteshPuthran/Speech-Emotion-Analyzer
A neural network model for detecting different emotions from audio speeches using Python and deep learning.
ReactiveX/learnrx
An interactive tutorial for learning Microsoft's Reactive Extensions Library for JavaScript.
Ceruleanacg/Personae
Personae is a repo for implementing and experimenting with Deep Reinforcement Learning and Supervised Learning for Quantitative Trading.
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