curiousily / Deep-Learning-For-Hackers

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

Date Created 2019-04-24 (5 years ago)

Commits 45 (last one 4 years ago)

Stargazers 1,035 (0 this week)

Watchers 36 (0 this week)

Forks 442

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RepositoryStats indexes 616,225 repositories, of these curiousily/Deep-Learning-For-Hackers is ranked #50,769 (92nd percentile) for total stargazers, and #60,558 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #1,056/18,359.

curiousily/Deep-Learning-For-Hackers is also tagged with popular topics, for these it's ranked: python (#2,860/22953), deep-learning (#1,284/8695), machine-learning (#1,318/8259), tensorflow (#433/2282), artificial-intelligence (#340/2202), object-detection (#170/1211), keras (#137/803), neural-networks (#136/745), bert (#93/568), anomaly-detection (#34/345), sentiment-analysis (#27/255), time-series-forecasting (#14/108)

Other Information

curiousily/Deep-Learning-For-Hackers has Github issues enabled, there are 6 open issues and 4 closed issues.

Homepage URL: https://mlexpert.io

All Topics

bert keras lstms python tensorflow autoencoders deep-learning neural-networks machine-learning object-detection anomaly-detection jupyter-notebooks image-augmentation intent-recognition sentiment-analysis tensorflow-tutorial artificial-intelligence time-series-forecasting time-series-classification

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updated: 2025-02-11 @ 07:49pm, id: 183159288 / R_kgDOCurJ-A