Pinned Loading

1. lab-aws-bedrock-and-langchain lab-aws-bedrock-and-langchain Public

   Hands-on experiments with LangChain and Amazon Bedrock, exploring LLM integrations, RAG, document processing, text splitting, and summarization chains.

   Jupyter Notebook

2. file-importer file-importer Public

   A NestJS-based file import project, starting with CSV and expanding to additional formats.

   TypeScript

3. langux langux Public

   Quick Translator for GNOME.

   JavaScript

4. ai-skills ai-skills Public

   Reusable engineering workflow skills for Codex and other agents, covering code review, releases, security, testing, API changes, and task orchestration.

5. Linear regression implemented from s... Linear regression implemented from scratch in Python using NumPy and Batch Gradient Descent, including MSE loss, analytical gradients, and training visualization.

   1

   import numpy as np

   2

   import matplotlib.pyplot as plt

   3

   4

   x = np.array([0, 1, 2, 3, 4, 5], dtype=float)

   5

   y = np.array([1, 3, 5, 7, 9, 11], dtype=float)

6. A Simple vLLM Chat with a minimal CL... A Simple vLLM Chat with a minimal CLI chatbot demonstrating LLM inference, conversation history, system prompts, and output validation.

   1

   from vllm import LLM, SamplingParams

   2

   3

   # Model configuration

   4

   MODEL_NAME = "Qwen/Qwen2.5-0.5B-Instruct"

   5