heartkilla

LLM101n

LLM101n: Let's build a Storyteller

just

🤖 Just a command runner

mlx

MLX: An array framework for Apple silicon

dspy

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

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.

litellm

Call all LLM APIs using the OpenAI format. Use Bedrock, Azure, OpenAI, Cohere, Anthropic, Ollama, Sagemaker, HuggingFace, Replicate, Groq (100+ LLMs)

txtai

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

ragas

Evaluation framework for your Retrieval Augmented Generation (RAG) pipelines

paradedb

Postgres for Search and Analytics

make-real

Draw a ui and make it real

NeMo-Guardrails

NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.

h2o-llmstudio

H2O LLM Studio - a framework and no-code GUI for fine-tuning LLMs. Documentation: https://docs.h2o.ai/h2o-llmstudio/

awesome-RLHF

A curated list of reinforcement learning with human feedback resources (continually updated)

scikit-llm

Seamlessly integrate LLMs into scikit-learn.

cohere-toolkit

Cohere Toolkit is a collection of prebuilt components enabling users to quickly build and deploy RAG applications.

ls-lint

An extremely fast directory and filename linter - Bring some structure to your project filesystem

make-real-starter

Make it real

paperai

📄 🤖 Semantic search and workflows for medical/scientific papers

AutoRAG

RAG AutoML Tool - Find optimal RAG pipeline for your own data.

TabPFN

Official implementation of the TabPFN paper (https://arxiv.org/abs/2207.01848) and the tabpfn package.

lag-llama

Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting

pgsync

Postgres to Elasticsearch/OpenSearch sync

rank_bm25

A Collection of BM25 Algorithms in Python

featurewiz

Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshadri. Collaborators welcome.

finetune-embedding

Fine-Tuning Embedding for RAG with Synthetic Data

ranx

⚡️A Blazing-Fast Python Library for Ranking Evaluation, Comparison, and Fusion 🐍

bench

A tool for evaluating LLMs

cqr

Conformalized Quantile Regression

ChatGPT-vs.-BERT

🎁[ChatGPT4NLU] A Comparative Study on ChatGPT and Fine-tuned BERT

JapaneseEmbeddingEval