Topic: "learning-theory"
tensorflow/adanet
Fast and flexible AutoML with learning guarantees.
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tirthajyoti/Papers-Literature-ML-DL-RL-AI
Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning
Size: 495 MB - Last synced at: 18 days ago - Pushed at: about 2 years ago - Stars: 2,562 - Forks: 755
SMPyBandits/SMPyBandits
🔬 Research Framework for Single and Multi-Players 🎰 Multi-Arms Bandits (MAB) Algorithms, implementing all the state-of-the-art algorithms for single-player (UCB, KL-UCB, Thompson...) and multi-player (MusicalChair, MEGA, rhoRand, MCTop/RandTopM etc).. Available on PyPI: https://pypi.org/project/SMPyBandits/ and documentation on
Language: Jupyter Notebook - Size: 392 MB - Last synced at: about 1 month ago - Pushed at: 12 months ago - Stars: 400 - Forks: 59
Guyanqi/Awesome-Privacy
Repository for collection of research papers on privacy.
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FranxYao/Distributional-Generalization-in-Natural-Language-Processing
Distributional Generalization in NLP. A roadmap.
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Wei2624/AI_Learning_Hub
AI Learning Hub for Machine Learning, Deep Learning, Computer Vision and Statistics
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grasp-lyrl/modelzoo_continual
Model Zoos for Continual Learning (ICLR 22)
Language: Python - Size: 1 MB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 36 - Forks: 8
ajwills72/catlearn
Formal Psychological Models of Categorization and Learning
Language: R - Size: 41.7 MB - Last synced at: 29 days ago - Pushed at: 4 months ago - Stars: 26 - Forks: 6
juliusberner/oberwolfach_workshop
Material for 'Mathematics of Deep Learning Workshop' (Invited Talk)
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HamBa-m/scinis-learn
Scinis-learn is a package of non-OOP functions for Machine Learning developed by young Moroccan AI engineering students from scratch.
Language: Python - Size: 10.7 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 13 - Forks: 1
yokoxue/HRP
Code for paper "Efficient Sparse Coding using Hierarchical Riemannian Pursuit," in IEEE Transactions on Signal Processing, Y. Xue, V. K. N. Lau and S. Cai, doi: 10.1109/TSP.2021.3093769.
Language: MATLAB - Size: 14.5 MB - Last synced at: 24 days ago - Pushed at: almost 4 years ago - Stars: 13 - Forks: 3
nzw0301/pb-contrastive
#UAI2020 Codes for PAC-Bayesian Contrastive Unsupervised Representation Learning
Language: Python - Size: 74.2 KB - Last synced at: 24 days ago - Pushed at: almost 3 years ago - Stars: 12 - Forks: 1
BensonHuangTW/Machine_Learning_Foundations_Fall2020_Homework_Solutions
Solutions and Codes Example for Assignments of Machine Learning Foundation, Fall 2020, National Taiwan University
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ericzhao28/multidistributionlearning
Official implementation of On-Demand Sampling: Learning Optimally from Multiple Distributions (Neurips 2022)
Language: Python - Size: 31.3 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 7 - Forks: 1
TimoFlesch/NeuralTangentKernel
A Python implementation of the Neural Tangent Kernel (jacot et al, 2018)
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vzantedeschi/StocMV
source code of NeurIPS 2021 paper: "Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization Bound"
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rahul13ramesh/MultiTask_ModelZoo 📦
Implementation of https://arxiv.org/abs/2106.03027
Language: Python - Size: 566 KB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 6 - Forks: 2
gletarte/dichotomize-and-generalize
PAC-Bayesian Binary Activated Deep Neural Networks
Language: Python - Size: 19.6 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 5 - Forks: 3
j2kun/guess-the-polynomial
A program that learns your polynomial using just two queries
Language: Python - Size: 1.95 KB - Last synced at: about 4 hours ago - Pushed at: almost 5 years ago - Stars: 5 - Forks: 2
tomviering/monotone
This repository contains the code to reproduce all of the results in our paper: Making Learners (More) Monotone, T J Viering, A Mey, M Loog, IDA 2020.
Language: MATLAB - Size: 57.6 KB - Last synced at: 2 months ago - Pushed at: about 5 years ago - Stars: 3 - Forks: 0
juliusberner/theory2practice
Learning ReLU networks to high uniform accuracy is intractable (ICLR 2023)
Language: Python - Size: 104 KB - Last synced at: 5 months ago - Pushed at: about 2 years ago - Stars: 2 - Forks: 1
j2kun/binary-search-graphs
Python code for the post "Binary Search on Graphs"
Language: Python - Size: 1.95 KB - Last synced at: about 2 months ago - Pushed at: almost 5 years ago - Stars: 2 - Forks: 2
MLO-lab/BVCD_generative_models
Codebase for "A Bias-Variance-Covariance Decomposition of Kernel Scores for Generative Models", published at ICML 2024.
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sourav22899/k-sets-problem
Official code for k-experts - Online Policies and Fundamental Limits, AISTATS 2022
Language: Python - Size: 85 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0
gamatos/gold
A proof of concept C++ application for learning regular languages
Language: C++ - Size: 66.4 KB - Last synced at: 23 days ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0
mdsunivie/theory2practice Fork of juliusberner/theory2practice
Training ReLU networks to high uniform accuracy is intractable
Language: Python - Size: 102 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0
michaelaerni/interpolation_robustness
Code for the paper "Interpolation can hurt robust generalization even when there is no noise" available here: https://papers.nips.cc/paper/2021/hash/c4f2c88e16a579900657c18726641c81-Abstract.html
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TWUOnline/course-design-lab
Course Design Lab Repository
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Mohammad8921/UniformStabilityOfAdam
All codes of my master thesis conducted under computational learning theory
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ndsgit01/learning-theory
- Rademacher complexity - ERM algo on boolean conjunction prediction - online learning
Language: Python - Size: 11.7 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
Intelligent-Interfaces/chaoshearing
🤐
Size: 261 KB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0
saurabhmathur96/presentations
A collection of some of my presentations
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kazeevn/no_free_lunch
A rewrite of "The Lack of A Priori Distinctions Between Learning Algorithms" http://www.mitpressjournals.org/doi/abs/10.1162/neco.1996.8.7.1341
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shreyaverma165/ML-5622
CSCI 5622 | CU Boulder | Spring 2018 | Chris Ketelsen
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