ms003's repositories
Bechdel_test
Bechdel_test implementation
CSxx_1_ASTAR
CSxx_1_ASTAR implementation
CSxx_2-MiniMax
MiniMax algorithm implementation for Nine men's morris
CSxx_2_MNIST_DeepNNfromscratch
CSxx_MNIST_DeepNN .Computer layers from scrach, including forward and back propagation.
CSxx_3_PDDL1
CSxx_3_PDDL1 agent search implementation
CSxx_BigData-Project_Submission
CSxx_BigData-Project_Submission_Breast_Cancer Kaggle Dataset
CSxx_NLP_Classification_Deep_Learning
CSxx_NLP_Multi_Classification_Deep_Learning
CSxx_PDDL_Temporal
CSxx_PDDL_Temporal agent solution
CSxx_Spotify_Kaggle_DeepLearning
CSxx_Spotify_Kaggle_DeepLearning competition submission
Cxx_Genetic_Algorithms-R
Collation of Genetic Algorirthm Projects
Insurance_task_Kaggle
Insurance_task_Kaggle analysis
Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
Yolo_Model_evaluation
Yolo_Model_evaluation
awesome-interview-questions
:octocat: A curated awesome list of lists of interview questions. Feel free to contribute! :mortar_board:
causal_inference_python_code
Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins
causalml
Uplift modeling and causal inference with machine learning algorithms
CS231n
My assignment solutions for CS231n - Convolutional Neural Networks for Visual Recognition
cs231n.github.io
Public facing notes page
hyperopt
Distributed Asynchronous Hyperparameter Optimization in Python
LLM-Finetuning
LLM Finetuning with peft
machine-learning-engineering-for-production-public
Public repo for DeepLearning.AI MLEP Specialization
ogb
Benchmark datasets, data loaders, and evaluators for graph machine learning
py
Repository to store sample python programs for python learning
RGCPD
Climate analysis toolbox to investigate teleconnections, test for causality, and make forecasts.
tensorflow_cookbook
Code for Tensorflow Machine Learning Cookbook
tracking_wo_bnw
Implementation of "Tracking without bells and whistles” and the multi-object tracking "Tracktor"
uvadlc_notebooks
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2021
web-dev-bootcamp
Complete course and guide of the "Web Developer Bootcamp with Flask and Python"