Pinned Repositories
aml-deploy
GitHub Action that allows you to deploy machine learning models in Azure Machine Learning.
azureml-examples
Official community-driven Azure Machine Learning examples, tested with GitHub Actions
cookiecutter-data-science
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
DP100
Labs for Course DP-100: Designing and Implementing Data Science Solutions on Microsoft Azure
feast
Feature Store for Machine Learning
feast-azure
Azure plugins for Feast (FEAture STore)
feature-engineering-tutorials
Data Science Feature Engineering and Selection Tutorials
MachineLearningNotebooks
Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft
MLOps
MLOps examples
pipelines-azureml
Example Azure Pipeline to train and deploy a machine learning model using the Azure Machine Learning service
pankajkumar002's Repositories
pankajkumar002/ArxivPapers
Code behind Arxiv Papers
pankajkumar002/awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
pankajkumar002/awesome-RLHF
A curated list of reinforcement learning with human feedback resources (continually updated)
pankajkumar002/featureform
The Virtual Feature Store. Turn your existing data infrastructure into a feature store.
pankajkumar002/hydra
Hydra is a framework for elegantly configuring complex applications
pankajkumar002/langchain
🦜🔗 Build context-aware reasoning applications
pankajkumar002/langserve
LangServe 🦜️🏓
pankajkumar002/langsmith-cookbook
pankajkumar002/litellm
Python SDK, Proxy Server (LLM Gateway) to call 100+ LLM APIs in OpenAI format - [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, HuggingFace, Replicate, Groq]
pankajkumar002/llm-twin-course
🤖 LLM Twin FREE Course: Building Your Production-Ready AI Replica | An End-to-End Framework for Production-Ready LLM Systems by Building Your LLM Twin | WIP...
pankajkumar002/LLM101n
LLM101n: Let's build a Storyteller
pankajkumar002/LLMsPracticalGuide
A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)
pankajkumar002/LLMTest_NeedleInAHaystack
Doing simple retrieval from LLM models at various context lengths to measure accuracy
pankajkumar002/lm-evaluation-harness
A framework for few-shot evaluation of language models.
pankajkumar002/ML-Papers-of-the-Week
🔥Highlighting the top ML papers every week.
pankajkumar002/mlopsdemov2
pankajkumar002/modin
Modin: Scale your Pandas workflows by changing a single line of code
pankajkumar002/NeMo-Guardrails
NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.
pankajkumar002/openai
The repository for all Azure OpenAI Samples complementing the OpenAI cookbook.
pankajkumar002/openai-cookbook
Examples and guides for using the OpenAI API
pankajkumar002/presidio
Context aware, pluggable and customizable data protection and de-identification SDK for text and images
pankajkumar002/Prompt-Engineering-Guide
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
pankajkumar002/promptbench
A unified evaluation framework for large language models
pankajkumar002/rag-from-scratch
pankajkumar002/ray
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.
pankajkumar002/recipes-examples
Example repo to kickstart integration with mlflow recipes.
pankajkumar002/responsible-ai-toolbox
Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.
pankajkumar002/ThoughtSource
A central, open resource for data and tools related to chain-of-thought reasoning in large language models. Developed @ Samwald research group: https://samwald.info/
pankajkumar002/unstructured
Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.
pankajkumar002/yet-another-applied-llm-benchmark
A benchmark to evaluate language models on questions I've previously asked them to solve.