raniacharkaoui's Stars
bregman-arie/devops-exercises
Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions
FlowiseAI/Flowise
Drag & drop UI to build your customized LLM flow
infiniflow/ragflow
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
danny-avila/LibreChat
Enhanced ChatGPT Clone: Features Anthropic, AWS, OpenAI, Assistants API, Azure, Groq, o1, GPT-4o, Mistral, OpenRouter, Vertex AI, Gemini, Artifacts, AI model switching, message search, langchain, DALL-E-3, ChatGPT Plugins, OpenAI Functions, Secure Multi-User System, Presets, completely open-source for self-hosting. Actively in public development.
dottxt-ai/outlines
Structured Text Generation
pycaret/pycaret
An open-source, low-code machine learning library in Python
kodekloudhub/certified-kubernetes-administrator-course
Certified Kubernetes Administrator - CKA Course
Azure-Samples/azure-search-openai-demo
A sample app for the Retrieval-Augmented Generation pattern running in Azure, using Azure AI Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences.
microsoft/promptbench
A unified evaluation framework for large language models
truera/trulens
Evaluation and Tracking for LLM Experiments
stanford-crfm/helm
Holistic Evaluation of Language Models (HELM), a framework to increase the transparency of language models (https://arxiv.org/abs/2211.09110). This framework is also used to evaluate text-to-image models in HEIM (https://arxiv.org/abs/2311.04287) and vision-language models in VHELM (https://arxiv.org/abs/2410.07112).
DeepGraphLearning/torchdrug
A powerful and flexible machine learning platform for drug discovery
tkrabel/bamboolib
bamboolib - a GUI for pandas DataFrames
Azure-Samples/chat-with-your-data-solution-accelerator
A Solution Accelerator for the RAG pattern running in Azure, using Azure AI Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences. This includes most common requirements and best practices.
whylabs/langkit
🔍 LangKit: An open-source toolkit for monitoring Large Language Models (LLMs). 📚 Extracts signals from prompts & responses, ensuring safety & security. 🛡️ Features include text quality, relevance metrics, & sentiment analysis. 📊 A comprehensive tool for LLM observability. 👀
chetachiezikeuzor/Highlightr-Plugin
A minimal and aesthetically pleasing highlighting menu that makes color-coded highlighting much easier 🎨.
Snowflake-Labs/sfquickstarts
Follow along with our tutorials to get you up and running with Snowflake.
AstraZeneca/awesome-drug-discovery-knowledge-graphs
A collection of research papers, datasets and software related to knowledge graphs for drug discovery. Accompanies the paper "A review of biomedical datasets relating to drug discovery: a knowledge graph perspective" (Briefings in Bioinformatics, 2022)
trubrics/trubrics-sdk
Product analytics for AI Assistants
ohtaman/streamlit-sortables
An Streamlit component to provide sortable items.
RyanWangZf/PyTrial
PyTrial: A Comprehensive Platform for Artificial Intelligence for Drug Development
erincayaz/obsidian-colored-text
Snowflake-Labs/sfguide-getting-started-dataengineering-ml-snowpark-python
Lucandia/molecule-icon-generator
Generate nice icons of molecules with a python script
awslabs/quantum-computing-exploration-for-drug-discovery-on-aws
Deploy a solution to research on drug discovery problems using quantum computing and classical computing resources.
aws-solutions-library-samples/guidance-for-conversational-chatbots-using-retrieval-augmented-generation-on-aws
This Guidance demonstrates how to combine Retrieval Augmented Generation (RAG) with AWS services to build generative AI applications.
NCBI-Hackathons/drugdisco
A high throughput automated drug discovery pipeline.
giusedroid/serverless-embeddings-lancedb-bedrock
This is an example of serverless document ingestion pipeline that automates the calculation of embeddings, so that they can be used in the context of a Retrieval Augmented Generation application. This sample makes use of Amazon Bedrock to provide access to Amazon Titan Embedding model and LanceDB
run-llama/rag-bedrock
Advanced Retrieval Augmented Generation patterns with AWS Bedrock and LlamaIndex
GitData-GA/GenAI
GenAI harnesses the power of advanced models like GPT-4 and Gemini Pro to serve as versatile coding and writing assistants for users in both R and, soon, Python. This toolbox empowers users with a range of capabilities, including text generation, code optimization, natural language processing, chat assistance, and image interpretation.