TensorFlow-Examples by aymericdamien

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

updated at April 28, 2024, 5:58 p.m.

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gplearn by trevorstephens

Genetic Programming in Python, with a scikit-learn inspired API

updated at April 28, 2024, 4:05 p.m.

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Kalman-and-Bayesian-Filters-in-Python by rlabbe

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

updated at April 28, 2024, 2:57 p.m.

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cs231n.github.io by cs231n

Public facing notes page

updated at April 28, 2024, 1:47 p.m.

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seq2seq-signal-prediction by guillaume-chevalier

Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier

updated at April 28, 2024, 11:29 a.m.

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char-rnn by karpathy

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

updated at April 28, 2024, 11:27 a.m.

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ML-YouTube-Courses by dair-ai

📺 Discover the latest machine learning / AI courses on YouTube.

updated at April 28, 2024, 10:51 a.m.

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machine-learning-cheat-sheet by soulmachine

Classical equations and diagrams in machine learning

updated at April 28, 2024, 9:21 a.m.

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machine-learning-for-software-engineers by ZuzooVn

A complete daily plan for studying to become a machine learning engineer.

updated at April 28, 2024, 8:39 a.m.

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graph-based-deep-learning-literature by naganandy

links to conference publications in graph-based deep learning

updated at April 28, 2024, 6:46 a.m.

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DataSciencePython by ujjwalkarn

common data analysis and machine learning tasks using python

updated at April 28, 2024, 3:38 a.m.

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tutorials by catboost

CatBoost tutorials repository

updated at April 27, 2024, 9:30 p.m.

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Probabilistic-Programming-and-Bayesian-Methods-for-Hackers by CamDavidsonPilon

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

updated at April 27, 2024, 8:02 p.m.

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machine-learning by ethen8181

machine learning tutorials (mainly in Python3)

updated at April 27, 2024, 4:13 p.m.

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deep-belief-nets-for-topic-modeling by larsmaaloee

This repository is a proof of concept toolbox for using Deep Belief Nets for Topic Modeling in Python.

updated at April 27, 2024, 8:14 a.m.

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awesome-graph-classification by benedekrozemberczki

A collection of important graph embedding, classification and representation learning papers with implementations.

updated at April 27, 2024, 7:27 a.m.

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nn-from-scratch by dennybritz

Implementing a Neural Network from Scratch

updated at April 27, 2024, 7:11 a.m.

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awesome-rnn by kjw0612

Recurrent Neural Network - A curated list of resources dedicated to RNN

updated at April 27, 2024, 6:57 a.m.

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awesome-rl by aikorea

Reinforcement learning resources curated

updated at April 27, 2024, 5:27 a.m.

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KRLPapers by thunlp

Must-read papers on knowledge representation learning (KRL) / knowledge embedding (KE)

updated at April 27, 2024, 4:12 a.m.

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