stanford-tensorflow-tutorials by chiphuyen

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

created at Nov. 5, 2016, 6:21 p.m.

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char-rnn by karpathy

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

created at May 21, 2015, 5:25 p.m.

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ML-YouTube-Courses by dair-ai

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

created at June 25, 2021, 9:39 a.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.

created at May 16, 2014, 7:24 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 ;)

created at Jan. 14, 2013, 3:46 p.m.

1,375 +0

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machine-learning-for-software-engineers by ZuzooVn

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

created at Oct. 9, 2016, 9:20 p.m.

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TensorFlow-Examples by aymericdamien

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

created at Nov. 11, 2015, 2:21 p.m.

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