GitHub - OneFineStarstuff/TheOneEverAfter

Name		Name	Last commit message	Last commit date
Latest commit History 56 Commits
.github		.github
A2C_Architecture.ipynb		A2C_Architecture.ipynb
AGI_model_frameworks.ipynb		AGI_model_frameworks.ipynb
A_Convolutional_Neural_Network_(CNN)_for_image_classification.ipynb		A_Convolutional_Neural_Network_(CNN)_for_image_classification.ipynb
Active_Learning_for_HITL.ipynb		Active_Learning_for_HITL.ipynb
Adapter_Layers_for_Parameter_Efficient_Fine_Tuning.ipynb		Adapter_Layers_for_Parameter_Efficient_Fine_Tuning.ipynb
Adding_Differential_Privacy_to_a_Model.ipynb		Adding_Differential_Privacy_to_a_Model.ipynb
Adding_Evaluation_Metrics.ipynb		Adding_Evaluation_Metrics.ipynb
Adding_Self_Attention_Layers_(SAGAN).ipynb		Adding_Self_Attention_Layers_(SAGAN).ipynb
Advanced_AGI_Testing_for_Security_and_Robustness.ipynb		Advanced_AGI_Testing_for_Security_and_Robustness.ipynb
Adversarial_Training_Example_with_FGSM.ipynb		Adversarial_Training_Example_with_FGSM.ipynb
Adversarial_Training_for_Enhanced_Security.ipynb		Adversarial_Training_for_Enhanced_Security.ipynb
Adversarial_Training_for_Robustness.ipynb		Adversarial_Training_for_Robustness.ipynb
Adversarial_Training_for_Robustness_(Example_Implementation).ipynb		Adversarial_Training_for_Robustness_(Example_Implementation).ipynb
Adversarial_Training_with_PGD_(Projected_Gradient_Descent).ipynb		Adversarial_Training_with_PGD_(Projected_Gradient_Descent).ipynb
Alignment_with_Societal_Values.ipynb		Alignment_with_Societal_Values.ipynb
Analyzing_Network_Traffic_with_Scapy.ipynb		Analyzing_Network_Traffic_with_Scapy.ipynb
Anomaly_Detection_Using_Isolation_Forest.ipynb		Anomaly_Detection_Using_Isolation_Forest.ipynb
Autoencoder_for_Anomaly_Detection.ipynb		Autoencoder_for_Anomaly_Detection.ipynb
Automated_Data_Cleaning_and_Preprocessing.ipynb		Automated_Data_Cleaning_and_Preprocessing.ipynb
Automated_Machine_Learning_(AutoML)_for_Model_Selection_and_Tuning.ipynb		Automated_Machine_Learning_(AutoML)_for_Model_Selection_and_Tuning.ipynb
Automated_Retraining_Workflow_Example_with_MLflow.ipynb		Automated_Retraining_Workflow_Example_with_MLflow.ipynb
Basic_Q_learning_example_in_a_grid_environment.ipynb		Basic_Q_learning_example_in_a_grid_environment.ipynb
Basic_application_that_generates_text_using_the_GPT_J_model.ipynb		Basic_application_that_generates_text_using_the_GPT_J_model.ipynb
Basic_implementation_of_AES_encryption_and_decryption_using_cryptography.ipynb		Basic_implementation_of_AES_encryption_and_decryption_using_cryptography.ipynb
Bayesian_Linear_Regression.ipynb		Bayesian_Linear_Regression.ipynb
Bayesian_Optimization_with_Optuna.ipynb		Bayesian_Optimization_with_Optuna.ipynb
Bayesian_Parameter_Estimation_Example.ipynb		Bayesian_Parameter_Estimation_Example.ipynb
Behavioral_Testing_with_CheckList.ipynb		Behavioral_Testing_with_CheckList.ipynb
Bioinformatics_DNA_Sequence_Analysis_with_k_mers.ipynb		Bioinformatics_DNA_Sequence_Analysis_with_k_mers.ipynb
Brain_Computer_Interfaces_(BCIs).ipynb		Brain_Computer_Interfaces_(BCIs).ipynb
Building_a_Chatbot_with_Natural_Language_Processing.ipynb		Building_a_Chatbot_with_Natural_Language_Processing.ipynb
Building_a_Digital_Twin_with_Foundation_Models.ipynb		Building_a_Digital_Twin_with_Foundation_Models.ipynb
Building_a_Facial_Recognition_System_Using_OpenCV.ipynb		Building_a_Facial_Recognition_System_Using_OpenCV.ipynb
Building_a_Recommendation_System_Using_Collaborative_Filtering.ipynb		Building_a_Recommendation_System_Using_Collaborative_Filtering.ipynb
Building_a_Recommendation_System_with_Collaborative_Filtering.ipynb		Building_a_Recommendation_System_with_Collaborative_Filtering.ipynb
Building_a_Simple_Game_Using_Pygame.ipynb		Building_a_Simple_Game_Using_Pygame.ipynb
Building_a_Simple_Multi_Modal_Model.ipynb		Building_a_Simple_Multi_Modal_Model.ipynb
Building_a_Simple_Neural_Network_with_TensorFlow_and_Keras.ipynb		Building_a_Simple_Neural_Network_with_TensorFlow_and_Keras.ipynb
Building_a_Stock_Market_Prediction_Model_Using_LSTM.ipynb		Building_a_Stock_Market_Prediction_Model_Using_LSTM.ipynb
Building_an_E_commerce_Product_Recommendation_System_Using_Matrix_Factorization.ipynb		Building_an_E_commerce_Product_Recommendation_System_Using_Matrix_Factorization.ipynb
CLIP_(Contrastive_Language–Image_Pretraining)_for_Image_Text_Tasks.ipynb		CLIP_(Contrastive_Language–Image_Pretraining)_for_Image_Text_Tasks.ipynb
CLIP_for_Text_and_Image_Pairing.ipynb		CLIP_for_Text_and_Image_Pairing.ipynb
CNN_model_from_scratch.ipynb		CNN_model_from_scratch.ipynb
Calculating_Derivatives_Symbolically.ipynb		Calculating_Derivatives_Symbolically.ipynb
Calculating_Gravitational_Force.ipynb		Calculating_Gravitational_Force.ipynb
Calculating_the_Fréchet_Inception_Distance_(FID)_score_for_a_GAN.ipynb		Calculating_the_Fréchet_Inception_Distance_(FID)_score_for_a_GAN.ipynb
Carbon_Emission_Tracking_in_Model_Training.ipynb		Carbon_Emission_Tracking_in_Model_Training.ipynb
Causal_Inference_with_DoWhy.ipynb		Causal_Inference_with_DoWhy.ipynb
Causal_Inference_with_Structural_Equation_Modeling_(SEM).ipynb		Causal_Inference_with_Structural_Equation_Modeling_(SEM).ipynb
Causal_Reinforcement_Learning.ipynb		Causal_Reinforcement_Learning.ipynb
Clear_Documentation.ipynb		Clear_Documentation.ipynb
Climate_Data_Analysis_and_Visualization.ipynb		Climate_Data_Analysis_and_Visualization.ipynb
Code_Outline_for_Gradient_Descent.ipynb		Code_Outline_for_Gradient_Descent.ipynb
Code_Outline_for_Image_Classification.ipynb		Code_Outline_for_Image_Classification.ipynb
Code_Outline_for_PID_Controller_Simulation.ipynb		Code_Outline_for_PID_Controller_Simulation.ipynb
Code_Outline_for_Quantum_Particle_Simulation.ipynb		Code_Outline_for_Quantum_Particle_Simulation.ipynb
Code_snippet_to_create_a_simple_autoencoder_for_face_images_using_PyTorch.ipynb		Code_snippet_to_create_a_simple_autoencoder_for_face_images_using_PyTorch.ipynb
Collaborative_Institutions.ipynb		Collaborative_Institutions.ipynb
Combining_Reinforcement_Learning_with_Language_Models_(RLHF).ipynb		Combining_Reinforcement_Learning_with_Language_Models_(RLHF).ipynb
Common_Sense_Reasoning.ipynb		Common_Sense_Reasoning.ipynb
Complete_MAML_Example_Code.ipynb		Complete_MAML_Example_Code.ipynb
Comprehensive_Ethical_Frameworks.ipynb		Comprehensive_Ethical_Frameworks.ipynb
Computer_Vision_with_YOLO_for_Real_Time_Object_Detection.ipynb		Computer_Vision_with_YOLO_for_Real_Time_Object_Detection.ipynb
Concept_Drift_Detection_with_ADWIN_(Adaptive_Windowing).ipynb		Concept_Drift_Detection_with_ADWIN_(Adaptive_Windowing).ipynb
Conditional_GAN_(cGAN)_for_Controlled_Generation.ipynb		Conditional_GAN_(cGAN)_for_Controlled_Generation.ipynb
Continual_Learning_and_Adaptation.ipynb		Continual_Learning_and_Adaptation.ipynb
Continual_Learning_for_Long_Term_Adaptability.ipynb		Continual_Learning_for_Long_Term_Adaptability.ipynb
Continual_Learning_for_Model_Adaptation.ipynb		Continual_Learning_for_Model_Adaptation.ipynb
Continual_Learning_with_Elastic_Weight_Consolidation_(EWC).ipynb		Continual_Learning_with_Elastic_Weight_Consolidation_(EWC).ipynb
Continuous_Ethical_Review.ipynb		Continuous_Ethical_Review.ipynb
Continuous_Improvement_and_Experimentation.ipynb		Continuous_Improvement_and_Experimentation.ipynb
Continuous_Learning_and_Adaptability_in_AGI.ipynb		Continuous_Learning_and_Adaptability_in_AGI.ipynb
Continuous_Monitoring_with_TensorBoard_and_Prometheus.ipynb		Continuous_Monitoring_with_TensorBoard_and_Prometheus.ipynb
Contrastive_Learning_for_Representation_Learning.ipynb		Contrastive_Learning_for_Representation_Learning.ipynb
Convolutional_Neural_Network_(CNN)_for_Image_Classification.ipynb		Convolutional_Neural_Network_(CNN)_for_Image_Classification.ipynb
Creating_a_Game_Using_Pygame.ipynb		Creating_a_Game_Using_Pygame.ipynb
Creating_a_Heatmap.ipynb		Creating_a_Heatmap.ipynb
Creating_a_Simple_Game_with_Pygame.ipynb		Creating_a_Simple_Game_with_Pygame.ipynb
Creating_a_Weather_Dashboard_Using_Flask_and_Plotly.ipynb		Creating_a_Weather_Dashboard_Using_Flask_and_Plotly.ipynb
Creating_an_Interactive_Dashboard_with_Plotly_Dash.ipynb		Creating_an_Interactive_Dashboard_with_Plotly_Dash.ipynb
Crisis_Management_and_Disaster_Response.ipynb		Crisis_Management_and_Disaster_Response.ipynb
Cross_Modal_Training_with_PyTorch.ipynb		Cross_Modal_Training_with_PyTorch.ipynb
Cryptography_Applications.ipynb		Cryptography_Applications.ipynb
Curriculum_Learning_with_Graded_Datasets.ipynb		Curriculum_Learning_with_Graded_Datasets.ipynb
Custom_Attention_in_GAN_Generator.ipynb		Custom_Attention_in_GAN_Generator.ipynb
Custom_Learning_Rate_Schedulers.ipynb		Custom_Learning_Rate_Schedulers.ipynb
Custom_Loss_Function_for_Fine_Control_in_GANs.ipynb		Custom_Loss_Function_for_Fine_Control_in_GANs.ipynb
Custom_ResNet_SHAP.ipynb		Custom_ResNet_SHAP.ipynb
DQN_implementation_with_the_`CuriosityModule`_and_the_`replay`_method.ipynb		DQN_implementation_with_the_`CuriosityModule`_and_the_`replay`_method.ipynb
Data_Augmentation.ipynb		Data_Augmentation.ipynb
Data_Augmentation_(CNN_model).ipynb		Data_Augmentation_(CNN_model).ipynb
Data_Augmentation_for_Text_Based_Tasks.ipynb		Data_Augmentation_for_Text_Based_Tasks.ipynb
Data_Augmentation_with_GANs_(Generative_Adversarial_Networks).ipynb		Data_Augmentation_with_GANs_(Generative_Adversarial_Networks).ipynb
Data_Efficient_Training_with_Active_Learning.ipynb		Data_Efficient_Training_with_Active_Learning.ipynb
Data_Governance_and_Compliance.ipynb		Data_Governance_and_Compliance.ipynb
Data_Handling_with_HDF5.ipynb		Data_Handling_with_HDF5.ipynb
Data_Provenance_Tracking.ipynb		Data_Provenance_Tracking.ipynb
Decision_Tree_Classifier.ipynb		Decision_Tree_Classifier.ipynb
Decision_Trees_for_Classification.ipynb		Decision_Trees_for_Classification.ipynb

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