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Practical_LLM_Applications
Practical_LLM_Applications PublicA collection of practical Jupyter notebooks for building LLM applications (RAG, Agents, Chatbots).
Jupyter Notebook
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Time-Series-Analysis
Time-Series-Analysis PublicA collection of hands-on projects in Time Series Analysis and Forecasting with Python. Implements models from baselines to SARIMAX using statsmodels and statsforecast.
Jupyter Notebook
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ML-Models-from-Scratch
ML-Models-from-Scratch PublicA collection of from-scratch PyTorch implementations of Machine Learning Models, including a foundational GPT and key architectural components of Llama 3.
Python
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Reinforcement-Learning
Reinforcement-Learning PublicA comprehensive portfolio of Reinforcement Learning projects, featuring from-scratch implementations of DQN, Actor-Critic, and more, alongside practical applications of the Gymnasium library.
Jupyter Notebook
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Interpretable-ML-with-Python
Interpretable-ML-with-Python PublicA practical exploration of Interpretable Machine Learning (XAI) with Python. This repository features Jupyter notebooks covering SHAP, LIME, Anchors, Counterfactuals, Grad-CAM, and more, applied to…
Jupyter Notebook
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