Gus's repositories
Fourier_Analysis_JN
A Jupyter Notebook with examples of a few Fourier series and plots as well as a fourier transform
O3_AQI_Emission_ML
Analyzing O3 Air Quality Index trends (2000-2023) in the U.S., this project identifies regions with rising pollution. Utilizing exploratory data analysis and time-series modeling, it offers actionable insights for informed policy decisions on urgent O3 pollution issues.
BrainTumorClassifier-CNN-TF2.16
TensorFlow 2.16 CNN for brain tumor classification with 99.7% accuracy. Features data augmentation, ReduceLROnPlateau, ModelCheckpoint for optimization, and GPU support. Explore the efficient architecture and training process.
Local_LLM_Training_Apple_Silicon
Created and enhanced a local LLM training system on Apple Silicon with MLX and Metal API, overcoming the absence of CUDA support. Fine-tuned the Llama3 model on 16 GPUs for streamlined solution of verbose math word problems. Result: a powerful, privacy-preserving chatbot that runs smoothly on-device.
Llama3_MacSilicon
Repository for running LLMs efficiently on Mac silicon (M1, M2, M3). Features Jupyter notebook for Meta-Llama-3 setup using MLX framework, with install guide & perf tips. Aims to optimize LLM performance on Mac silicon for devs & researchers.
CNN_Brain_Tumor
Built a CNN for MRI brain tumor classification (Glioma, Meningioma, No Tumor, Pituitary) with 99.4% accuracy. Used data augmentation, optimized learning rates (Adam), and included EarlyStopping, ReduceLROnPlateau for superior performance, averting overfitting. Boosts early, accurate diagnosis, advancing medical treatment.
Stacked_Multi_Step_LSTM
Project for forecasting Tesla (TSLA) stock prices using advanced LSTM neural networks. Includes a single-step ahead model and a multi-step stacked LSTM model for short and medium-term predictions. Data-driven insights for stock market enthusiasts and practitioners.
Histogram_plot
Histogram plot from video
Top_Tech_SP_500_Forecasting
Forecasting the stock market is difficult. I sought to observe the relationship between Apple's stock price and others in the S&P500. In doing this, I was able to conclude that stocks in the tech industry can help predict a trend in Apple's Percent change.
QuickGames
Some small quick games
Stats
A class that computes various statistical measurements using OOP
String_indices
A function that finds the indices and count in a string
Regression_Function
Regression function and Jupyter Notebook