Projects in Awesome Lists by GusLovesMath
A curated list of projects in awesome lists by GusLovesMath .
https://github.com/guslovesmath/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.
apple gpu langchain llama3 llm mlx
Last synced: 13 Apr 2025
https://github.com/guslovesmath/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.
apple llama3 llms mac machine-learning
Last synced: 11 Mar 2026
https://github.com/guslovesmath/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.
arima-forecasting arima-model data data-science forecasting vector-autoregression
Last synced: 14 Mar 2025
https://github.com/guslovesmath/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.
classification convolutional-neural-networks data-science deep-learning
Last synced: 14 Mar 2025
https://github.com/guslovesmath/regression_function
Regression function and Jupyter Notebook
Last synced: 14 Mar 2025
https://github.com/guslovesmath/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.
classification cnn deep-learning keras python tensorflow
Last synced: 18 Apr 2026
https://github.com/guslovesmath/fourier_analysis_jn
A Jupyter Notebook with examples of a few Fourier series and plots as well as a fourier transform
mathematics python signal-processing
Last synced: 20 May 2026
https://github.com/guslovesmath/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.
forecasting machine-learning statsmodels time-series train-test-split
Last synced: 08 Oct 2025
https://github.com/guslovesmath/stats
A class that computes various statistical measurements using OOP
Last synced: 12 Oct 2025
https://github.com/guslovesmath/string_indices
A function that finds the indices and count in a string
Last synced: 14 Apr 2026
https://github.com/guslovesmath/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.
deep-learning lstm-neural-networks neural-network tensorflow
Last synced: 22 Apr 2026