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1. Reinforcement-Learning-Zero-to-Hero Reinforcement-Learning-Zero-to-Hero Public

   Reinforcement Learning (RL)! This repository is your hands-on guide to implementing RL algorithms, from Markov Decision Processes (MDPs) to advanced methods like PPO and DDPG. Build smart agents, l…

   Python 5

2. Production-Ready-Instruction-Finetuning-of-Meta-Llama-3.2-3B-Instruct-Project Production-Ready-Instruction-Finetuning-of-Meta-Llama-3.2-3B-Instruct-Project Public

   Instruction Fine-Tuning of Meta Llama 3.2-3B Instruct on Kannada Conversations. Tailoring the model to follow specific instructions in Kannada, enhancing its ability to generate relevant, context-a…

   Jupyter Notebook 23 6

3. My_Datasets My_Datasets Public

   A collection of custom, open-source and essential datasets, perfect for powering machine learning and data science projects. Organized for easy access and reuse, this repo is updated regularly to f…

   2

4. Q-Learning-Off-policy Q-Learning-Off-policy Public

   Q-learning is an off-policy temporal-difference control algorithm. It learns the value of the optimal action, independent of the action actually taken by the agent.

   Python

5. SARSA-On-Policy SARSA-On-Policy Public

   A minimal, from-scratch implementation of SARSA (on-policy, model-free RL) on a custom GridWorld with no external RL libraries. Emphasizes algorithmic clarity and correct temporal dynamics for unde…

   Python