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deep-learning-algorithms

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Deep learning is an AI function and a subset of machine learning, used for processing large amounts of complex data. Deep learning can automatically create algorithms based on data patterns.

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maykulkarni / Machine-Learning-Notebooks

Star 499

Machine Learning notebooks for refreshing concepts.

python machine-learning natural-language-processing reinforcement-learning deep-learning machine-learning-algorithms neural-networks deep-learning-algorithms dimensionality-reduction python-machine-learning data-processing regression-models deep-learning-tutorial data-science-notebook model-evaluation classification-trees clustering-methods machine-learning-tutorials
  • Updated Aug 24, 2021
  • Jupyter Notebook

Tuhin-SnapD / Text-Summarization-Models

Star 11

This repository contains various models for text summarization tasks. Each model has a separate directory containing the implementation code, pretrained weights, and a Jupyter notebook for testing the model on sample input texts. Feel free to use these models for your own text summarization tasks or to experiment with them further.

cluster textrank transformer nltk deep-learning-algorithms bart summarization gensim sumy pegasus tfidf bert luhn-algorithm latent-semantic-analysis lexrank sumbasic gpt-2 t5 graph-summarization sentence-ranking
  • Updated Dec 27, 2023
  • Jupyter Notebook

sourcecode369 / deeplearning.ai-projects

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This repository contains Jupyter Notebook Files of some state of the art projects that I completed during my internship program in deeplearning.ai. The project files are divided into 5 main categories or respective courses that the deeplearning.ai provides.

machine-learning deep-neural-networks deep-learning tensorflow numpy keras pandas recurrent-neural-networks lstm deep-learning-algorithms artificial-neural-networks matplotlib deeplearning convolutional-neural-networks attention-mechanism deeplearning-ai coursera-specialization gated-recurrent-units
  • Updated Aug 11, 2018
  • Jupyter Notebook

CodeLogist / ML-NewBie-s-Heaven

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A place to find all basic old school Deep Learning concepts, codes and Google Colab trainable python notebooks.

python machine-learning reinforcement-learning deep-learning sentiment-analysis tensorflow word2vec word-embeddings ml generative-adversarial-network gan deep-learning-algorithms classification deeplearning newbie deep-learning-tutorial deep-learning-concepts google-colab newbie-heaven newbie-s-heaven
  • Updated Dec 3, 2019
  • Jupyter Notebook

SatvikPraveen / FashionMNIST-Analysis

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A comprehensive analysis of the Fashion MNIST dataset using PyTorch. Covers data preparation, EDA, baseline modeling, and fine-tuning CNNs like ResNet. Includes modular folders for data, notebooks, and results. Features CSV exports, visualizations, metrics comparison, and a requirements.txt for easy setup. Ideal for ML workflow exploration.

computer-vision numpy scikit-learn exploratory-data-analysis machine-learning-algorithms jupyter-notebook pandas pytorch seaborn vgg deep-learning-algorithms image-classification convolutional-neural-networks confusion-matrix hyperparameter-tuning model-evaluation fine-tuning resnet-18 matplotlib-pyplot fashion-mnist-dataset
  • Updated Nov 23, 2024
  • Jupyter Notebook

neerajcodes888 / Data-Science

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This repository is a hub for data science enthusiasts, offering a diverse collection of projects, notebooks, and resources covering topics such as data analysis, machine learning, deep learning, and generative AI. Explore innovative ideas, contribute to cutting-edge research, and enhance your skills in the dynamic field of data science

data-science machine-learning deep-learning machine-learning-algorithms jupyter-notebook eda pandas data-visualization python3 deep-learning-algorithms data-analysis plotting sklearn-library streamlit openai-api genai
  • Updated Apr 29, 2024
  • Jupyter Notebook
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