TensorFlow Tutorials with YouTube Videos
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Toturials coming with the "data science roadmap" picture.
A course in reinforcement learning in the wild
- reinforcement-learning
- course-materials
- deep-learning
- deep-reinforcement-learning
Simple tutorials using Google's TensorFlow Framework
From the basics to slightly more interesting applications of Tensorflow
TranslatedCAPTCHA recognition
- captcha-breaking
- keras-tutorials
- deep-learning
- keras
TensorFlow Tutorials
- tensorflow-tutorials
- convolutional-neural-networks
- recurrent-neural-networks
Algorithms for outlier, adversarial and drift detection
- anomaly
- outlier
- concept-drift
- detection
Handout for the tutorial "Creating publication-quality figures with matplotlib"
Synthetic data generators for tabular and time-series data
- gan-architectures
- gan
- deep-learning
- synthetic-data
CatBoost tutorials repository
- catboost
- tutorials
- ipython-notebook
- ipython
Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier
- seq2seq
- tensorflow
- tensorflow-tutorials
- python
Recurrent Neural Network Tutorial, Part 2 - Implementing a RNN in Python and Theano
Segment Anything for Microscopy
- microscopy-images
- segment-anything
- segmentation
- cell-segmentation
This repo contains materials for use in a TensorFlow workshop.
A series of machine learning tutorials for Torch7
Slides, scripts and materials for the Machine Learning in Finance Course at NYU Tandon, 2022
- coursework
- fraud-detection
- introduction-to-machine-learning
- machine-learning
Tutorials, datasets, and other material associated with textbook "A First Course in Network Science" by Menczer, Fortunato & Davis
- social-network
- indiana-university
- network-science
- textbook
Solve captcha without manually labeling a training set
- keras
- gan
- neural-network
- generative-adversarial-network
Full tutorial of computer vision and machine learning basics with OpenCV and Keras in Python.
Genomic Pretrained Network - GPN, GPN-MSA, PhyloGPN, GPN-Star
- dna
- language-model
- variant-effect-prediction
- genomics
Materials for GWU DNSC 6279 and DNSC 6290.
tutorials made for biologists to learn deep learning
- biologists
- keras
- deeplearning
- deep-learning
Big Data essentials: Hadoop, MapReduce, Spark. Explore tutorials and demos in Jupyter notebooks—most are self-contained and live, ready to run with a click.