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Projects in Awesome Lists by Nishant2018
A curated list of projects in awesome lists by Nishant2018 .
https://github.com/nishant2018/book_recommendation
This project deploys a book recommendation system using Flask API, requiring Flask, pandas, scikit-learn, numpy, and joblib. It consists of a Jupyter Notebook for model building, an app.py file for APIs, and HTML/CSS templates for user interface. Users input preferences on the homepage and receive book recommendations.
Last synced: 11 Nov 2024
https://github.com/nishant2018/malaria-detection
This is a web application built with Flask for detecting malaria in microscopic images of blood samples. It uses a deep learning model trained on TensorFlow/Keras to classify images as either infected (parasitized) or uninfected.
cnn cnn-classification cnn-keras deep-learning image-classification image-processing supervised-learning
Last synced: 11 Nov 2024
https://github.com/nishant2018/email-sms-classification
This is the nlp task for sms and email spam classification.
Last synced: 11 Nov 2024
https://github.com/nishant2018/cgan-s-conditional-gan-gen.ai-
Conditional Generative Adversarial Networks (CGANs) extend the capabilities of traditional GANs by conditioning both the generator and discriminator models on additional information, typically class labels or other forms of auxiliary information.
cgan cgan-mnist cgan-training generative-adversarial-network generative-ai generative-model
Last synced: 11 Nov 2024
https://github.com/nishant2018/sentiment-analysis-llm-bert
Sentiment analysis, also known as opinion mining, is a process that involves analyzing text to determine the sentiment expressed, such as positive, negative, or neutral.
Last synced: 11 Nov 2024
https://github.com/nishant2018/text-generation-gpt-1-and-gpt-2
Generative Pre-trained Transformer 1 and Generative Pre-trained Transformer 2 models
generative generative-adversarial-network generative-ai gpt gpt-2 text text-generation transformers
Last synced: 11 Nov 2024
https://github.com/nishant2018/classification-with-nlp-xgboost-and-pipelines
Natural Language Processing (NLP) is a field of artificial intelligence that focuses on the interaction between computers and humans through natural language.
classification nlp nlp-library nlp-machine-learning xgboost xgboost-classifier
Last synced: 11 Nov 2024
https://github.com/nishant2018/autoencoder-generative-ai-mnist
Autoencoders are a type of neural network used for unsupervised learning. In unsupervised learning, the model learns patterns from the data without using labeled outcomes. The goal is to find the underlying structure or representation of the data.
autoencoder autoencoder-mnist autoencoders generative-ai
Last synced: 11 Nov 2024
https://github.com/nishant2018/convolutional-autoencoder-cifar10-gen-ai
Autoencoders are a type of neural network used to learn efficient codings of unlabeled data. They work by compressing the input into a latent space representation and then reconstructing the output from this representation.
autoencoder autoencoder-cifar10 autoencoders
Last synced: 11 Nov 2024
https://github.com/nishant2018/twitter_scrapping_-_sentiment_analysis
This web application performs sentiment analysis on tweets using Twitter's API.
sentiment-analysis twitter-api twitter-sentiment-analysis webapp
Last synced: 11 Nov 2024
https://github.com/nishant2018/pca-feature-selection-scratch
Principal Component Analysis (PCA) is a powerful dimensionality reduction technique commonly used in machine learning and data analysis. It transforms a dataset into a set of linearly uncorrelated variables called principal components.
feature-selection linear-algebra machine-learning pca statistics
Last synced: 11 Nov 2024
https://github.com/nishant2018/nlp-student-writing-eda
Natural Language Processing (NLP) is a branch of artificial intelligence that focuses on the interaction between computers and humans using natural language.
nlp nlp-deep-learning nlp-library nlp-machine-learning
Last synced: 11 Nov 2024
https://github.com/nishant2018/lyrics-generator-rnn-
A lyrics generator is a fascinating application of Recurrent Neural Networks (RNNs), where the model learns patterns in sequences of text (lyrics) and generates new, coherent sequences.
audio-processing deep-learning lyrics-generator rnn
Last synced: 11 Nov 2024
https://github.com/nishant2018/brain-tumor-detection----yolo-v8
Implemented a model to detect brain tumors using advanced machine learning techniques. This project showcases the power of AI in transforming healthcare. 🧠🔬
braintumorsegmentation image-segmentation object-detection segmentation ultralytics yolo yolov8
Last synced: 11 Nov 2024
https://github.com/nishant2018/variational-autoencoder-a.encoder-gen.ai
Variational Autoencoders (VAEs) are a type of generative model that extends traditional autoencoders by adding a probabilistic spin to their latent space representation.
autoencoder autoencoders generative-ai variational-autoencoder
Last synced: 11 Nov 2024
https://github.com/nishant2018/wgan-s-wasserstein-gen.ai-
Wasserstein GAN (WGAN) is a variant of the traditional Generative Adversarial Network (GAN) that aims to improve training stability and address issues like mode collapse.
generative-adversarial-network genrative-ai wasserstein-distance wasserstein-gan wgan
Last synced: 11 Nov 2024
https://github.com/nishant2018/emotion-detection-nlp-ml-acc-95-
Emotion detection involves identifying and classifying emotions expressed in textual data. It combines techniques from Natural Language Processing (NLP) and Machine Learning (ML) to analyze and interpret human emotions, which can be applied in various domains like customer service, social media analysis, and mental health monitoring.
emotion-detection machine-learning nlp nlp-library nlp-machine-learning
Last synced: 11 Nov 2024
https://github.com/nishant2018/disneyland-reviews-nlp-sentiment-analysis-
Sentiment analysis, also known as opinion mining, is a process that involves analyzing text to determine the sentiment expressed, such as positive, negative, or neutral.
nlp nlp-library nlp-machine-learning sentiment-analysis
Last synced: 11 Nov 2024
https://github.com/nishant2018/optimized-neural-network-scratch-
Optimizing neural networks is crucial for achieving high performance in machine learning tasks. Optimization involves adjusting the weights and biases of the network to minimize the loss function. This process is essential for training deep learning models effectively and efficiently.
adam-optimizer gradient-descent learningrates neural-network neural-networks optimization rmsprop
Last synced: 11 Nov 2024
https://github.com/nishant2018/nlp-basic-
Natural Language Processing (NLP) is a field of artificial intelligence that focuses on the interaction between computers and humans through natural language.
nlp nlp-library nlp-machine-learning tf-idf word2vec
Last synced: 11 Nov 2024
https://github.com/nishant2018/rnn-from-scratch
Recurrent Neural Networks (RNNs) are a class of artificial neural networks designed to recognize patterns in sequences of data, such as time series, speech, or text.
deep-learning rnn rnn-model text-classification
Last synced: 11 Nov 2024
https://github.com/nishant2018/knowledge-graph-nlp-tutorial--bert-spacy-nltk-
Natural Language Processing (NLP) is a field of artificial intelligence that focuses on the interaction between computers and humans through natural language.
nlp nlp-library nlp-machine-learning
Last synced: 11 Nov 2024
https://github.com/nishant2018/gru-scratch-
Gated Recurrent Units (GRUs) are a type of RNN designed to capture long-term dependencies in sequential data
deep-learning deeplearning gru rnn-gru
Last synced: 11 Nov 2024
https://github.com/nishant2018/svm---scratch
Support Vector Machine (SVM) is a supervised machine learning algorithm commonly used for classification and regression tasks. It works by finding the hyperplane that best separates the data into different classes.
machine-learning-algorithms svm-classifier
Last synced: 11 Nov 2024
https://github.com/nishant2018/sentiment-analysis-amazon
Sentiment analysis, also known as opinion mining, is the process of determining the sentiment or emotion expressed in a piece of text.
machine-learning machine-learning-algorithms nlp nlp-library nlp-machine-learning sentiment-analysis
Last synced: 11 Nov 2024
https://github.com/nishant2018/text-extraction-ocr-opencv
Text extraction is the process of automatically extracting text from images or documents. Optical Character Recognition (OCR) is a technology that enables computers to convert images of text into machine-readable text.
ocr opencv python text-extraction
Last synced: 11 Nov 2024
https://github.com/nishant2018/natural-language-processing-nlp-for-beginners
Natural Language Processing (NLP) is a branch of artificial intelligence that focuses on the interaction between computers and humans using natural language.
nlp nlp-deep-learning nlp-library nlp-machine-learning
Last synced: 11 Nov 2024
https://github.com/nishant2018/academic-success-classification-xgboost-
XGBoost is an open-source machine learning library that provides efficient and scalable implementations of gradient boosting algorithms. It is known for its speed, performance, and accuracy, making it one of the most popular and widely-used machine learning libraries in the data science community.
classification machine-learning machine-learning-algorithms xgboost xgboost-classifier xgboost-python
Last synced: 11 Nov 2024
https://github.com/nishant2018/masked-language-model-bert
🤖 This project demonstrates the use of a Masked Language Model (MLM) with BERT for predicting masked tokens in a given text. The model is trained to understand the context of words based on their surrounding words, leading to better language understanding.
Last synced: 11 Nov 2024
https://github.com/nishant2018/ml_project
This project employs machine learning to predict a student's final academic score, considering study time, maternal education, initial test scores, and the aspiration for higher education as influencing factors. The aim is to gain insights that can inform educational strategies, fostering student success and higher education opportunities.
Last synced: 11 Nov 2024
https://github.com/nishant2018/yolo-v8---tomato-potato--disease---detection
In this project, I trained a YOLOv8 model to detect diseases in tomato and potato plants. Accurate and timely detection of plant diseases is essential for effective crop management, and YOLOv8 offers the ability to perform real-time detection, making it a suitable choice for agricultural applications.
plantdiseasedetection roboflow ultralytics yolov8
Last synced: 11 Nov 2024
https://github.com/nishant2018/text-mask-generation-googlebert-llm
BERT has revolutionized the field of NLP by introducing advanced techniques for contextual understanding and transfer learning, making it a pivotal model in modern natural language processing tasks.
Last synced: 11 Nov 2024
https://github.com/nishant2018/lazy-learner-code
A lazy learner in machine learning defers processing training data until prediction time. It stores instances and labels, avoiding upfront learning. Examples include KNN. They're efficient for changing data or limited resources but may be slower for predictions.
Last synced: 11 Nov 2024
https://github.com/nishant2018/textgeneration-gpt-2
GPT-2 is an advanced language model developed by OpenAI, serving as a predecessor to GPT-3. It is based on the Transformer architecture, specifically designed for natural language processing tasks.
Last synced: 11 Nov 2024
https://github.com/nishant2018/textsummarization-transformer-llm-t5
Text Generation: LLM T5 excels in generating coherent and contextually relevant text across a wide range of topics and styles.
Last synced: 11 Nov 2024
https://github.com/nishant2018/nlp-tools
## NLP Tools Flask Application This Flask application serves as a web interface for various Natural Language Processing (NLP) tasks using Hugging Face's Transformers library. The application allows users to interact with different NLP models for text generation, translation, summarization, and more. ### Key Features: - **GPT-3 Text Generation:**
Last synced: 11 Nov 2024
https://github.com/nishant2018/lstm-encoder-decoder-rnn-english---hindi
This LSTM seq2seq model for English-to-Hindi translation, featuring attention mechanisms, achieves 96% accuracy on the test set. Trained from scratch, it's around 350 MB in size, offering efficient real-time translation from English to Hindi.
Last synced: 11 Nov 2024
https://github.com/nishant2018/english-french-attention-encoder-decoder
The Sequence-to-Sequence (Seq2Seq) model is a type of neural network architecture used for sequence-to-sequence learning tasks, particularly in natural language processing (NLP) and machine translation.
Last synced: 11 Nov 2024
https://github.com/nishant2018/textgeneration-transformers-gpt-2
GPT-2 is a highly capable language model known for its versatility, scalability, and performance in various natural language processing tasks, making it a valuable tool for researchers, developers, and AI enthusiasts.
Last synced: 11 Nov 2024
https://github.com/nishant2018/prediction-of-obesity-risk
The goal of this competition is to use various factors to predict obesity risk in individuals, which is related to cardiovascular disease.
Last synced: 11 Nov 2024
https://github.com/nishant2018/imdb_sentiment_analysis
Sentiment analysis, also known as opinion mining, is a natural language processing (NLP) technique used to determine the sentiment or emotional tone conveyed in a piece of text.
Last synced: 11 Nov 2024
https://github.com/nishant2018/artificial_neural_network_keras_tuner
First artificial neural network by using keras tuner.
Last synced: 11 Nov 2024
https://github.com/nishant2018/working_with_date_time
In most of cases we have to deal with columns like date and time so here is some code related to date time
Last synced: 11 Nov 2024
https://github.com/nishant2018/youtube_scrapping
Code to scrap youtube data and creation of webapp.
Last synced: 11 Nov 2024
https://github.com/nishant2018/digit_recognizer
The goal in this programming is to take an image of a handwritten single digit, and determine what that digit is. For every in the test set, you should predict the correct label.
Last synced: 11 Nov 2024
https://github.com/nishant2018/cat_vs_dog_cnn
the development of a Cat vs Dog prediction model using Convolutional Neural Networks (CNNs)! 📊🤖 🐈🆚🐕 Ever wondered if you could tell a cat from a dog just by looking at a picture? With the power of deep learning and image recognition, we can now do just that! 📸💡
Last synced: 11 Nov 2024
https://github.com/nishant2018/yolo-v8---satellite-image---detection
This project demonstrates the detection of objects in satellite images using the YOLOv8 (You Only Look Once) model. The goal of the project is to identify objects like buildings, vehicles, and other significant features in satellite imagery.
detection image-detection roboflow ultralytics yolov8
Last synced: 11 Nov 2024
https://github.com/nishant2018/bit-coin-prediction-lstm
Bitcoin is a decentralized digital currency that operates without a central authority or single administrator.
bitcoin bitcoin-api lstm lstm-model prediction
Last synced: 02 Nov 2024
https://github.com/nishant2018/kaggle_titanic_survival
In this challenge, we ask you to build a predictive model that answers the question: “what sorts of people were more likely to survive?” using passenger data (ie name, age, gender, socio-economic class, etc).
Last synced: 11 Nov 2024
https://github.com/nishant2018/gunfire_audio_classification
This is the project of gunfire audio classification using Deep Learning
Last synced: 11 Nov 2024
https://github.com/nishant2018/text_analysis-sentimentalanalysis
This is the code in python (Jupyter Notebook) to perform text analysis to drive sentimental opinion, sentiment scores, readability, passive words, personal pronouns and etc.
Last synced: 11 Nov 2024
https://github.com/nishant2018/a-b_testing
A/B testing is like a scientific way to figure out which version of something works better.
Last synced: 11 Nov 2024
https://github.com/nishant2018/auto_image_generator_in_cnn
This is the code to generate more image by using single image
Last synced: 11 Nov 2024
https://github.com/nishant2018/cpp-programing
This repo contain C++ programming from bignner to medium level.
Last synced: 11 Nov 2024
https://github.com/nishant2018/biomedical-abstract-classification-transformer-bert
Last synced: 11 Nov 2024
https://github.com/nishant2018/sql_query
SQL query implimentation on dataset.
Last synced: 11 Nov 2024
https://github.com/nishant2018/text_scrapping
Text scrapping for analysis using beautifulsoup and requests library.
Last synced: 11 Nov 2024
https://github.com/nishant2018/text-translation-transformer-llm-t5
The Large Language Model (LLM) T5 is a state-of-the-art natural language processing (NLP) model developed by Google Research.
Last synced: 11 Nov 2024
https://github.com/nishant2018/textgeneration-transformer-gpt-3
GPT-3 (Generative Pre-trained Transformer 3) is a state-of-the-art language processing model developed by OpenAI.
Last synced: 11 Nov 2024
https://github.com/nishant2018/llm-bert-sentiment-analysis
The sentiment analysis model used in this app has been fine-tuned using a dataset of movie reviews. It has learned to recognize patterns and features in text that indicate positive or negative sentiments.
Last synced: 11 Nov 2024
https://github.com/nishant2018/dsa-cpp-programming
This repo contains DSA C++ programming code.
Last synced: 11 Nov 2024
https://github.com/nishant2018/hindi-text-summarization-nlp-deeplearning
Test Summarization: Algorithmic process condensing vast information into concise summaries for efficient comprehension and insight extraction.
Last synced: 11 Nov 2024
https://github.com/nishant2018/rentacarbyusingcpp
Code to rent a car using c++ programming language.
Last synced: 11 Nov 2024