rogerpou

rogerpou's Stars

• awslabs/amazon-denseclus

  Clustering for mixed-type data

  Language:Jupyter Notebook9321

• jcasasr/UOC_M2.855

  Repositorio de ejemplos de la asignatura "Modelos avanzados de minería de datos" del Máster Universitario de Ciencia de datos (Data science)

  Language:Jupyter Notebook65

• aosan/VaultChat

  get knowledge from your private documents

  Language:Python243

• Coding-Crashkurse/Langchain-Production-Project

  Language:Python14177

• ikatsov/tensor-house

  A collection of reference Jupyter notebooks and demo AI/ML applications for enterprise use cases: marketing, pricing, supply chain, smart manufacturing, and more.

  Language:Jupyter Notebook1.3k469

• eywalker/nvidia-docker-compose

  Simple wrapper for docker-compose to use GPU enabled docker under nvidia-docker

  Language:Python22529

• open-mmlab/mmaction2

  OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark

  Language:Python4.3k1.2k

• explodinggradients/ragas

  Supercharge Your LLM Application Evaluations 🚀

  Language:Python7.1k717

• TonicAI/tonic_validate

  Metrics to evaluate the quality of responses of your Retrieval Augmented Generation (RAG) applications.

  Language:Python25729

• stanfordnlp/dspy

  DSPy: The framework for programming—not prompting—foundation models

  Language:Python18.3k1.4k

• iusztinpaul/hands-on-llms

  🦖 𝗟𝗲𝗮𝗿𝗻 about 𝗟𝗟𝗠𝘀, 𝗟𝗟𝗠𝗢𝗽𝘀, and 𝘃𝗲𝗰𝘁𝗼𝗿 𝗗𝗕𝘀 for free by designing, training, and deploying a real-time financial advisor LLM system ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 𝘷𝘪𝘥𝘦𝘰 & 𝘳𝘦𝘢𝘥𝘪𝘯𝘨 𝘮𝘢𝘵𝘦𝘳𝘪𝘢𝘭𝘴

  Language:Jupyter Notebook3.1k474

• jax-ml/jax

  Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

  Language:Python30.4k2.8k

• mistralai/mistral-inference

  Official inference library for Mistral models

  Language:Jupyter Notebook9.7k857

• skypilot-org/skypilot

  SkyPilot: Run AI and batch jobs on any infra (Kubernetes or 12+ clouds). Get unified execution, cost savings, and high GPU availability via a simple interface.

  Language:Python6.7k498

• huggingface/peft

  🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

  Language:Python16.3k1.6k

• Chainlit/chainlit

  Build Conversational AI in minutes ⚡️

  Language:Python7.1k929

• instructor-ai/instructor

  structured outputs for llms

  Language:Python8k637

• christianversloot/machine-learning-articles

  🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.

  3.4k722

• facebookresearch/faiss

  A library for efficient similarity search and clustering of dense vectors.

  Language:C++31.2k3.6k

• smazzanti/mrmr

  mRMR (minimum-Redundancy-Maximum-Relevance) for automatic feature selection at scale.

  Language:Python52279

• lucazav/binclass-tools

  The binclass-tools package contains a set of Python wrappers and interactive plots that facilitate the analysis of binary classification problems.

  Language:Jupyter Notebook7511

• maks-sh/scikit-uplift

  :exclamation: uplift modeling in scikit-learn style in python :snake:

  Language:Python73097

• numpy/numpy

  The fundamental package for scientific computing with Python.

  Language:Python27.9k10k

• Unity-Technologies/ml-agents

  The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.

  Language:C#17.2k4.2k

• skforecast/skforecast

  Time series forecasting with machine learning models

  Language:Python1.1k130

• microsoft/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.

  Language:TypeScript1.4k360

• pdpipe/pdpipe

  Easy pipelines for pandas DataFrames.

  Language:Jupyter Notebook71645

• evidentlyai/evidently

  Evidently is ​​an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

  Language:Jupyter Notebook5.3k594

• audreyfeldroy/cookiecutter-pypackage

  Cookiecutter template for a Python package.

  Language:Python4.2k1.8k

• fastapi/sqlmodel

  SQL databases in Python, designed for simplicity, compatibility, and robustness.

  Language:Python14.4k658