baris-yazici

baris-yazici's Stars

• neuml/txtai

  💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows

  Language:Python9.9k630

• NirDiamant/RAG_Techniques

  This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and contextually rich responses.

  Language:Jupyter Notebook10.5k1.1k

• langflow-ai/langflow

  Langflow is a low-code app builder for RAG and multi-agent AI applications. It’s Python-based and agnostic to any model, API, or database.

  Language:Python42.4k4.7k

• PeiJieSun/diffnet

  Graph Neural Network based Social Recommendation Model. SIGIR2019.

  Language:Python17645

• WLiK/LLM4Rec-Awesome-Papers

  A list of awesome papers and resources of recommender system on large language model (LLM).

  1.5k128

• Lancelot39/Causal-Copilot

  Language:Python175

• microsoft/causica

  Language:Python45655

• eshnich/transformers-learn-causal-structure

  Language:Jupyter Notebook31

• PAIR-code/what-if-tool

  Source code/webpage/demos for the What-If Tool

  Language:HTML928172

• ustunb/actionable-recourse

  python tools to check recourse in linear classification

  Language:Python7419

• Piyushi-0/ACE

  Code for our ICML '19 paper: Neural Network Attributions: A Causal Perspective.

  Language:Jupyter Notebook5120

• FenTechSolutions/CausalDiscoveryToolbox

  Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.

  Language:Python1.1k200

• eqasim-org/ile-de-france

  An open synthetic population of Île-de-France for agent-based transport simulation

  Language:Python5273

• propublica/compas-analysis

  Data and analysis for 'Machine Bias'

  Language:Jupyter Notebook634266

• fairlearn/fairlearn

  A Python package to assess and improve fairness of machine learning models.

  Language:Python2k427

• vanderschaarlab/mlforhealthlabpub

  Machine Learning and Artificial Intelligence for Medicine.

  Language:Python434174

• vanderschaarlab/Data-IQ

  Data-IQ: Characterizing subgroups with heterogeneous outcomes in tabular data

  Language:Jupyter Notebook53

• vanderschaarlab/hyperimpute

  A framework for prototyping and benchmarking imputation methods

  Language:Python16814

• vanderschaarlab/synthcity

  A library for generating and evaluating synthetic tabular data for privacy, fairness and data augmentation.

  Language:Python48966

• vanderschaarlab/autoprognosis

  A system for automating the design of predictive modeling pipelines tailored for clinical prognosis.

  Language:Python12225

• vanderschaarlab/Interpretability

  Resources for Machine Learning Explainability

  Language:Jupyter Notebook725

• shadcn-ui/ui

  Beautifully designed components that you can copy and paste into your apps. Accessible. Customizable. Open Source.

  Language:TypeScript78k5k

• awslabs/deequ

  Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.

  Language:Scala3.3k543

• awslabs/python-deequ

  Python API for Deequ

  Language:Jupyter Notebook736139

• kuleshov/cornell-cs5785-2024-applied-ml

  Lecture materials for Cornell CS5785 Applied Machine Learning (Fall 2024)

  Language:Jupyter Notebook466154

• apache/superset

  Apache Superset is a Data Visualization and Data Exploration Platform

  Language:TypeScript63.7k14.2k

• databricks/LearningSparkV2

  This is the github repo for Learning Spark: Lightning-Fast Data Analytics [2nd Edition]

  Language:Scala1.2k743

• stanford-futuredata/ColBERT

  ColBERT: state-of-the-art neural search (SIGIR'20, TACL'21, NeurIPS'21, NAACL'22, CIKM'22, ACL'23, EMNLP'23)

  Language:Python3.2k397

• stanfordnlp/dspy

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

  Language:Python20.8k1.6k

• SakanaAI/AI-Scientist

  The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑‍🔬

  Language:Jupyter Notebook8.6k1.2k