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Projects in Awesome Lists by GusGitMath

A curated list of projects in awesome lists by GusGitMath .

https://github.com/gusgitmath/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.

llama3 llm macos

Last synced: 22 Dec 2024

https://github.com/gusgitmath/fourier_analysis

A Jupyter Notebook with examples of a few Fourier series and a Fourier transform. Also has outputted plot of series and goes over plots of nodes as well as their sum. See PDF of Jupyter Notebook on my website: https://mathphysicsfunwithgus.square.site/lecture-notes

fourier-series fourier-transform jupyter-notebooks mathematics python3

Last synced: 19 Nov 2024

https://github.com/gusgitmath/toptech_sp500_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 linear-regression python3 vector-autoregression

Last synced: 19 Nov 2024

https://github.com/gusgitmath/quickgames

Three small fun games in python.

Last synced: 19 Nov 2024

https://github.com/gusgitmath/string_indices

Small function to return counts and indices of characters in a string.

Last synced: 19 Nov 2024

https://github.com/gusgitmath/local_llm_training_apple_silicon

Utilized 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.

Last synced: 19 Nov 2024

https://github.com/gusgitmath/regression_function

This Python function fits user-defined functions to data using non-linear least squares optimization. It supports 2-4 parameters, custom initial values, error margins, and plotting. It calculates Chi-Squared statistics and covariance matrices, suitable for scientific data analysis and curve fitting tasks.

Last synced: 19 Nov 2024

https://github.com/gusgitmath/cnn_braintumor_classification

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 deep-learning machine-learning

Last synced: 19 Nov 2024

https://github.com/gusgitmath/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.

Last synced: 19 Nov 2024

https://github.com/gusgitmath/histogram_plot

Python script for creating customized histograms using Matplotlib. Based on "Math & Physics Fun with Gus" YouTube tutorial. Features include data generation, histogram plotting, customization of bins and colors, and calculation of mean and standard deviation. Great for data visualization enthusiasts and students.

Last synced: 19 Nov 2024

https://github.com/gusgitmath/ai_powered_drug_approval

This repository focuses on leveraging machine learning to predict drug approval outcomes. It includes analyses of clinical trial processes, datasets, and language models. Key features include trial alignment scoring, feature engineering, and predictive modeling to enhance decision-making in drug development.

drugs language-model machine-learning nlp-machine-learning xgboost-classifier

Last synced: 16 Dec 2024

https://github.com/gusgitmath/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 convolutional-neural-networks deep-learning keras machine-learning python tensorflow

Last synced: 21 Dec 2024

https://github.com/gusgitmath/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 machine-learning neural-network stock-market tensorflow

Last synced: 09 Nov 2024

https://github.com/gusgitmath/color_print

A method to print things colorfully.

Last synced: 31 Dec 2024