Data

Tools

Indexes

Applications

Experiments

Awesome

An open API service indexing awesome lists of open source software.

Projects in Awesome Lists by ksm26

A curated list of projects in awesome lists by ksm26 .

https://github.com/ksm26/langchain-for-llm-application-development

Apply LLMs to your data, build personal assistants, and expand your use of LLMs with agents, chains, and memories.

agents application-development chains chatbots development-tools diffusion-models langchain language-model llms memories models personal-assistant prompts

Last synced: 15 Apr 2025

https://github.com/ksm26/chatgpt-prompt-engineering-for-developers

Jupyter notebooks for enhancing your skills with ChatGPT based prompt engineering. Harness the potential of large language models and create innovative applications.

chatgpt chatgpt-api deeplearning-ai expanding inferring llms openai-api prompt-engineering summarizing transforming

Last synced: 15 Apr 2025

https://github.com/ksm26/occupancygrid-predictions

Predicting Future Occupancy Grids in Dynamic Environment with Spatio-Temporal Learning

deep-learning future-prediction occupancy-grid-map prediction spatio-temporal

Last synced: 15 Apr 2025

https://github.com/ksm26/efficiently-serving-llms

Learn the ins and outs of efficiently serving Large Language Models (LLMs). Dive into optimization techniques, including KV caching and Low Rank Adapters (LoRA), and gain hands-on experience with Predibase’s LoRAX framework inference server.

batch-processing deep-learning-techniques inference-optimization large-scale-deployment machine-learning-operations model-acceleration model-inference-service model-serving optimization-techniques performance-enhancement scalability-strategies server-optimization serving-infrastructure text-generation

Last synced: 02 Aug 2025

https://github.com/ksm26/getting-started-with-mistral

Explore Mistral AI's extensive collection of models. Learn to select, prompt, and integrate Mistral's open-source and commercial models for tasks like classification, coding, and Retrieval Augmented Generation (RAG).

advanced-coding ai-models api-integration commercial-models effective-prompting embeddings function-calling llm-capabilities machine-learning mistral-ai mixtral-models model-selection open-source-models python-integration rag similarity-search structured-responses web-interface

Last synced: 14 Jul 2025

https://github.com/ksm26/embedding-models-from-architecture-to-implementation

Understand and build embedding models, focusing on word and sentence embeddings, dual encoder architectures. Learn to train embedding models using contrastive loss, implement them in semantic search and RAG systems.

ai-applications ai-architecture bert bert-embeddings bert-fine-tuning bert-model contrastive-loss dual-encoder embedding-models machine-learning model-training question-answer-retrieval rag-systems semantic-search sentence-embeddings transformer-models word-embeddings word2vec

Last synced: 25 Jul 2025

https://github.com/ksm26/dr-x-nlp-pipeline

A fully offline NLP pipeline for extracting, chunking, embedding, querying, summarizing, and translating research documents using local LLMs. Inspired by the fictional mystery of Dr. X, the system supports multi-format files, local RAG-based Q&A, Arabic translation, and ROUGE-based summarization — all without cloud dependencies.

chromadb document-analysis llm local-llm modular-ai multilingual-ai-model nlp offlineai ollama opensource-ai rag textsummarization

Last synced: 23 Apr 2025

https://github.com/ksm26/llms-as-operating-systems-agent-memory

This repository introduces the Letta framework, empowering developers to build LLM-based agents with long-term, persistent memory and advanced reasoning capabilities. It leverages concepts from MemGPT to optimize context usage and enable multi-agent collaboration for real-world applications like research, HR, and task management.

advanced-reasoning agent-memory ai-applications ai-framework ai-innovation ai-research ai-with-memory artificial-intelligence collaborative-agents context-optimization intelligent-agents letta-framework llm-innovation llms memgpt memory-agents memory-enhanced-agents memory-management multi-agent-systems persistent-memory

Last synced: 04 Oct 2025

https://github.com/ksm26/retrieval-optimization-from-tokenization-to-vector-quantization

The course provides a comprehensive guide to optimizing retrieval systems in large-scale RAG applications. It covers tokenization, vector quantization, and search optimization techniques to enhance search quality, reduce memory usage, and balance performance in vector search systems.

data-science embeddingmodels hnsw machine-learning machinelearning natural-language-processing rag rag-systems ragsystems retrieval-augmented-generation retrievaloptimization search-algorithm search-optimization searchoptimization tokenization vectorquantization vectorsearch

Last synced: 05 Jul 2025

https://github.com/ksm26/ai-agents-in-langgraph

Master the art of building and enhancing AI agents. Learn to develop flow-based applications, implement agentic search, and incorporate human-in-the-loop systems using LangGraph's powerful components.

agent-accuracy agent-components agent-development agentic-search ai-agents ai-enhancement essay-writing-agent flow-based-applications human-in-the-loop langchain langgraph python-llm-integration state-management task-division

Last synced: 28 Mar 2025

https://github.com/ksm26/vector-databases-embeddings-applications

Unlock the power of vector databases with the "Vector Databases: from Embeddings to Applications" course! A journey that will equip you with essential skills to leverage vector databases for various applications.

embeddings generative-ai hybrid-search image-recognition knn knn-classification machine-learning multilingual-search natural-language-processing rag recommender-system retrieval-augmented-generation semantic-search vector-database

Last synced: 25 Oct 2025

https://github.com/ksm26/prompt-compression-and-query-optimization

Enhance the performance and cost-efficiency of large-scale Retrieval Augmented Generation (RAG) applications. Learn to integrate vector search with traditional database operations and apply techniques like prefiltering, postfiltering, projection, and prompt compression.

cost-efficiency data-retrieval data-retrieval-and-display data-security database-operations developer-advocacy large-scale-applications mongodb performance-optimization postfiltering prefiltering projection prompt-compression query-optimization query-processing rag-applications reranking search-relevance vector-search vector-search-engine

Last synced: 30 Oct 2025

https://github.com/ksm26/chatGPT-Prompt-Engineering-for-Developers

Jupyter notebooks for enhancing your skills with ChatGPT based prompt engineering. Harness the potential of large language models and create innovative applications.

chatgpt chatgpt-api deeplearning-ai expanding inferring llms openai-api prompt-engineering summarizing transforming

Last synced: 11 Sep 2025

https://github.com/ksm26/text-generation-service

Text Generation API is a lightweight FastAPI service that leverages Hugging Face Transformers for AI-powered text generation. It supports RESTful API requests, is Dockerized for easy deployment, and runs locally or in containers.

Last synced: 05 Apr 2025

https://github.com/ksm26/web-based-q-a-tool

Web-Based Q&A Tool enables users to extract and query website content using FastAPI, FAISS, and a local TinyLlama-1.1B model—without external APIs. Built with React, it offers a minimal UI for seamless AI-driven search

ai embeddings faiss fastapi llama llm machine-learning natural-language-processing qa qa-system react-js self-hosted-ai tiny-llama webscraping

Last synced: 31 Dec 2025

https://github.com/ksm26/artificial-intelligence-in-quantitative-finance

End-to-end deep learning pipeline for quantitative finance, using LSTM and Transformer models to forecast returns and power dynamic, optimized portfolios. From data collection to backtesting, it delivers reproducible results, statistical validation, and clear visual insights for smarter financial strategies.

algorithmic-trading backtesting datascience financeai financial-markets financial-modeling fintech investment-strategies lstm portfolio-management predictive-analytics python pytorch quantitative-finance stock-market timeseries-forecasting transformers

Last synced: 14 Aug 2025

https://github.com/ksm26/improving-accuracy-of-llm-applications

The course equips developers with techniques to enhance the reliability of LLMs, focusing on evaluation, prompt engineering, and fine-tuning. Learn to systematically improve model accuracy through hands-on projects, including building a text-to-SQL agent and applying advanced fine-tuning methods.

evaluation-framework instruction-fine-tuning iterative-fine-tuning llama-models llm-accuracy lora memory-tuning model-reliability mome performance-optimization prompt-engineering self-reflection text-to-sql

Last synced: 28 Mar 2025

https://github.com/ksm26/pretraining-llms

Master the essential steps of pretraining large language models (LLMs). Learn to create high-quality datasets, configure model architectures, execute training runs, and assess model performance for efficient and effective LLM pretraining.

ai-training cost-effective-pretraining data-preparation depth-upscaling developer-advocacy high-quality-datasets hugging-face large-language-models llm-evaluation machine-learning meta-llama model-configuration model-initialization performance-assessment pretraining-llms text-generation training-runs

Last synced: 28 Mar 2025

https://github.com/ksm26/ksm.io

Last synced: 06 Jan 2026

https://github.com/ksm26/ksm26

Last synced: 13 Oct 2025

https://github.com/ksm26/carbon-aware-computing-for-genai-developers

Learn to optimize machine learning tasks for environmental sustainability. Discover how to use real-time electricity data and low-carbon energy sources for model training and inference, reducing the carbon footprint of your cloud operations.

carbon-aware-computing carbon-footprint carbon-intensity clean-energy cloud-computing electricitymaps energy-efficient-ml environmental-impact genai google-cloud green-computing low-carbon-energy machine-learning-optimization model-training real-time-electricity-data sustainable-ai

Last synced: 28 Mar 2025

https://github.com/ksm26/object-detection-microservice

This repository provides a fully containerized microservice for object detection using YOLOv8 and FastAPI. With Docker and Docker Compose, developers can easily set up, run, and integrate advanced object recognition capabilities into their applications.

computervision containerization devops docker fastapi imageprocessing machinelearning microservices modelinference objectdetection yolov8 yolov8s

Last synced: 28 Mar 2025

https://github.com/ksm26/function-calling-and-data-extraction-with-llms

Master the techniques of function-calling and structured data extraction with LLMs. Learn to enhance LLM capabilities, integrate web services, and build practical applications for real-world data usability.

advanced-workflows ai-integration custom-functionality customer-service-transcripts data-analysis data-extraction end-to-end-applications function-calling llms natural-language-processing openapi practical-implementation structured-data web-services-integration

Last synced: 28 Mar 2025

https://github.com/ksm26/quantization-fundamentals-with-hugging-face

Learn linear quantization techniques using the Quanto library and downcasting methods with the Transformers library to compress and optimize generative AI models effectively.

compression downcasting generative-ai hugging-face linear-quantization model-compression model-deployment model-optimization optimize quantization quantization-fundamentals quanto-library transformers-library

Last synced: 28 Mar 2025

https://github.com/ksm26/reinforcement-learning-from-human-feedback

Embark on the "Reinforcement Learning from Human Feedback" course and align Large Language Models (LLMs) with human values.

fine-tuning generative-ai google-cloud large-language-models llama-2 model-evaluation reinforcement-learning rlhf

Last synced: 28 Mar 2025

https://github.com/ksm26/ml-ai-data-science-jobs-in-canada

Explore the latest machine learning, artificial intelligence, and data science job opportunities in Canada. Stay informed about Canadian tech job market trends and find your next career move.

ai-canada ai-careers canada canadian-tech-companies canadian-tech-job-market data data-analysis data-engineering data-science data-science-careers machine-learning prompt-engineering robotics

Last synced: 28 Mar 2025

https://github.com/ksm26/finetuning-large-language-models

Unlock the potential of finetuning Large Language Models (LLMs). Learn from industry expert, and discover when to apply finetuning, data preparation techniques, and how to effectively train and evaluate LLMs.

adaptive-models advanced-nlp-techniques data-preparation-for-nlp data-scientist fine-tune-llms finetuning-large-language-models language-model-fine-tuning large-language-models machine-learning model-adaptation model-training-and-evaluation nlp-enthusiast

Last synced: 28 Mar 2025

https://github.com/ksm26/llmops

In this course navigates through the LLMOps pipeline, enabling you to preprocess training data for supervised fine-tuning and deploy custom Large Language Models (LLMs).

data-versioning deeplearning-ai deployment fine-tuning foundational-models large-language-models llmops model-customization pipeline-deployment responsible-ai supervised-learning

Last synced: 28 Mar 2025