paraglondhe098

paraglondhe098's Stars

• paraglondhe098/torchtrainer

  PyTorch Training Framework: A customizable PyTorch training loop class with support for metrics tracking, early stopping, and callbacks. Includes methods for multi-class and binary accuracy, precision, recall, and R² score calculations.

  Language:Python1

• haridev811/haridev811

  Config files for my GitHub profile.

  1

• safi842/Microstructure-GAN

  GAN for synthesizing microstructures based on processing conditions.

  Language:Jupyter Notebook124

• paraglondhe098/fire-detection-using-convolutional-neural-network

  Language:Jupyter Notebook1

• paraglondhe098/sentiment-analysis-of-steam-reviews

  Sentiment analysis of Steam ( Game store) reviews using LSTM neural network and word embeddings.

  Language:Jupyter Notebook1

• opencv/opencv

  Open Source Computer Vision Library

  Language:C++79k55.8k

• rabia174/COVID-19-Deep-Learning-CNN-Model

  Here, I created my own deep learning(CNN) model for early detection of COVID-19 from chest x-ray images. If we were to answer the question that why we need a deep learning model for early detection of COVID-19 from chest x-ray images, we can say the followings, doctors have seen that even if the test kits desined for diagnosis results in negative, the real results are positive for some patients when they review the chest X-ray images. For now the public dataset contains less amount of data which you can see in the dataset2 folder. We get this dataset from open-source https://github.com/ieee8023/covid-chestxray-dataset, but for sure it is not enough to train a proper deep learning model. But just to show that how easy it is to create an AI for the early detection of these kind of viruses. Just keep in mind that this cannot be used for diagnosis without training many more images in high-resolution and professinal medical tests. There you go! Let's work together to fight against COVID-19. As a tool, I used Keras with Tensorflow background, and the model can be improved by addig more convolution and pooling layers, and increasing the number of feature detectors'. Don't forget to upvote. Best Regards.

  Language:Jupyter Notebook3024

• ollama/ollama

  Get up and running with Llama 3.2, Mistral, Gemma 2, and other large language models.

  Language:Go97k7.7k

• paraglondhe098/movie-recommender-system

  Content based movie recommender system using bag of words vectorization and cosine similarities

  Language:Jupyter Notebook1

• blender/blender

  Official mirror of Blender

  Language:C++13.2k2k

• huggingface/notebooks

  Notebooks using the Hugging Face libraries 🤗

  Language:Jupyter Notebook3.6k1.5k

• openai/openai-cookbook

  Examples and guides for using the OpenAI API

  Language:MDX59.7k9.5k

• meta-llama/llama

  Inference code for Llama models

  Language:Python56.3k9.6k