Jinu Nyachhyon's repositories
LearnIt
Learn It is a dynamic web app powered by OpenAI and Whisper API. It effortlessly summarizes videos and PDFs, offering concise insights. With AI Q&A, it's your shortcut to understanding multimedia content. Transcribe, summarize, and ask questions to unravel knowledge swiftly.
Cpp-Programming-freeCode-Camp-
Course developed by Daniel Gakwaya. Reference from:
Medical-Image-Segmentation-using-MONAI
Implementing various segmentation architectures for medical image segmentation. This repo currently implements the popular UNet for liver segmentation.
NLP_to_Transformers
This repository serves as a comprehensive guide through the evolution of Natural Language Processing (NLP), starting from foundational principles and classical approaches, gradually transitioning to Deep Learning techniques, and culminating in an in-depth exploration of Transformer models.
Vitis-AI-Reference-Tutorials
Tutorials on Vitis AI Created by LogicTronix!
A-Visual-History-of-Novel-Prize-Winner
Data Analysis and Visualization of dataset containing Novel Prize Winners and concluding certain facts based on the outputs.
CNN-classification---PyTorch
This research compares the capabilities of four distinct CNN models for the task of classifying medical images: SimpleCNN, LeNet5, AlexNet, and VGG16. The study looks into which CNN model does this task the best and offers insights into the variables that affect the model's performance.
Datacamp-Data-Scientist-Notes
The roadmap to data scientist track in Datacamp have number of exercises and such notebooks are curated here.
Datacamp-ML-Scientist-Notes
A comprehensive introduction to machine learning in Python including how to process data for features, train your models, assess performance, and tune parameters for better performance. Also introduction to natural language processing, image processing, and popular Python machine learning packages such as scikit-learn, Spark, and Keras.
Drug-Target-Integration
Our model predicts binding affinity across a diverse set of drugs and target groups. Drug-target interaction prediction task aims to predict the interaction activity score in silico given only the accessible compound structural information and protein amino acid sequence.
U-Net
Code replicating the paper "U-Net: Convolutional Networks for Biomedical Image Segmentation"
DPhi-Bootcamp
Mini Bootcamp for Data Science; that include learning python libraries such as Pandas, Numpy and Matplotlib and finally moving to NLP.
Hacker-Statistics
Hacker statistics to calculate your chances of winning a bet. Use random number generators, loops, and Matplotlib to gain a competitive edge!
Interactive-Guide-Assignment-with-Destination-Recommendation
An interface for user and guide to connect with recommendation system and a built in chatbox.
Investigating-Netflix-Movies-and-Guest-Stars-in-The-Office
Investigating Netflix Movies and Guest Stars in The Office
Medical-Image-Segmentation-using-Squeeze-and-Expansion-Transformers
Paper replication on Medical Image Segmentation Using Squeeze-and-Expansion Transformers
OpenCV
This repo has basics of OpenCV(reading images and videos, image transformations) to more advanced concepts (color spaces, edge detection). Also includes building a Deep Computer Vision model to classify between the characters in the popular TV series "The Simpsons".
Python-Programmer
This repo contains notebooks that works with challenging data, including date and time data, text data, and web data using APIs. It also contains unit testing and concepts of OOP in Python. The notebooks uses Python libraries, NumPy, pytest, and pycodestyle, that will helps in tasks such as web development, data analysis, and task automation.
The-Andriod-App-Market-on-Google-Play
In this notebook, there is a comprehensive analysis of the Android app market by comparing over ten thousand apps in Google Play across different categories. Insights in the data to devise strategies to drive growth and retention.
The-Github-History-of-Scala-Language
Data Analysis on the long lost language - Scala based on it Github commit history.
Time-Series-with-Python
This repo guides to manipulate time series data using pandas, work with statistical libraries including NumPy and statsmodels to analyze data, and develop your visualization skills using Matplotlib, SciPy, and seaborn. It also includes forecasting future using ARIMA class models and generate predictions and insights using machine learning models.
YOLOv1
Code replicating the paper "YOLO v1"