dr-sword

dr-sword's Stars

• ianarawjo/ChainForge

  An open-source visual programming environment for battle-testing prompts to LLMs.

  Language:TypeScript2.3k179

• dottxt-ai/prompts

  A prompting library

  Language:Python1239

• mem0ai/mem0

  The Memory layer for your AI apps

  Language:Python22.8k2.1k

• timoklimmer/powerproxy-aoai

  Monitors and processes traffic to and from Azure OpenAI endpoints.

  Language:Python10326

• langchain-ai/langchain-extract

  🦜⛏️ Did you say you like data?

  Language:Rich Text Format1k108

• stanfordnlp/dspy

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

  Language:Python18.7k1.4k

• crewAIInc/crewAI

  Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.

  Language:Python21.1k2.9k

• dottxt-ai/outlines

  Structured Text Generation

  Language:Python9.4k478

• facebookresearch/ImageBind

  ImageBind One Embedding Space to Bind Them All

  Language:Python8.4k768

• facebookexperimental/Robyn

  Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is to democratise modeling knowledge, inspire the industry through innovation, reduce human bias in the modeling process & build a strong open source marketing science community.

  Language:Jupyter Notebook1.2k343

• Sinaptik-AI/pandas-ai

  Chat with your database (SQL, CSV, pandas, polars, mongodb, noSQL, etc). PandasAI makes data analysis conversational using LLMs (GPT 3.5 / 4, Anthropic, VertexAI) and RAG.

  Language:Python13.5k1.3k

• iryna-kondr/scikit-llm

  Seamlessly integrate LLMs into scikit-learn.

  Language:Python3.4k275

• ray-project/llm-numbers

  Numbers every LLM developer should know

  4.1k140

• guidance-ai/guidance

  A guidance language for controlling large language models.

  Language:Jupyter Notebook19.1k1k

• eugeneyan/open-llms

  📋 A list of open LLMs available for commercial use.

  11.2k727

• JushBJJ/Mr.-Ranedeer-AI-Tutor

  A GPT-4 AI Tutor Prompt for customizable personalized learning experiences.

  28.9k3.3k

• tatsu-lab/stanford_alpaca

  Code and documentation to train Stanford's Alpaca models, and generate the data.

  Language:Python29.5k4.1k

• BlinkDL/ChatRWKV

  ChatRWKV is like ChatGPT but powered by RWKV (100% RNN) language model, and open source.

  Language:Python9.4k697

• shankarpandala/lazypredict

  Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning

  Language:Python3k344

• vanderschaarlab/synthcity

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

  Language:Python45361

• skrub-data/skrub

  Prepping tables for machine learning

  Language:Python1.2k97

• koaning/human-learn

  Natural Intelligence is still a pretty good idea.

  Language:Jupyter Notebook79754

• pymc-labs/CausalPy

  A Python package for causal inference in quasi-experimental settings

  Language:Python90765

• BiomedSciAI/causallib

  A Python package for modular causal inference analysis and model evaluations

  Language:Python73297

• koaning/embetter

  just a bunch of useful embeddings

  Language:Python46615

• mitmedialab/sherlock-project

  This repository provides data and scripts to use Sherlock, a DL-based model for semantic data type detection: https://sherlock.media.mit.edu.

  Language:Jupyter Notebook14970

• clementchadebec/benchmark_VAE

  Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

  Language:Python1.8k164