leo-gan Goto Github PK

auto-gpt

An experimental open-source attempt to make GPT-4 fully autonomous.

broker

chroma

the AI-native open-source embedding database

colbert

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

cookiecutter-hypermodern-python

Hypermodern Python Cookiecutter

dga_detection_with_nlp

dinov2

PyTorch code and models for the DINOv2 self-supervised learning method.

editojson

evals

Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.

evaluate

🤗 Evaluate: A library for easily evaluating machine learning models and datasets.

generative_ai_with_langchain

Build large language model (LLM) apps with Python, ChatGPT and other models. This is the companion repository for the book on generative AI with LangChain.

gld.benchmark.xsltvsnet

gld.hipaa

Service to fill up the HIPAA documents manually

gld.queuebenchmark

gld.serializerbenchmark

gld.skills

Different exercises.

gtc2017-numba

Numba tutorial for GTC 2017 conference

helm

Holistic Evaluation of Language Models (HELM), a framework to increase the transparency of language models (https://arxiv.org/abs/2211.09110).

houseprices

Test data based on the kaggle competintion the Hourse Prices

imagebind

ImageBind One Embedding Space to Bind Them All

internlm

InternLM has open-sourced a 7 billion parameter base model, a chat model tailored for practical scenarios and the training system.

kats

Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.

langchain

⚡ Building applications with LLMs through composability ⚡

langchain-benchmarks

🦜💯 Flex those feathers!

latent-features

Test data based on the kaggle competintion the AfricaSoilPropertyPredictionChallenge

llms-from-scratch

Implementing a ChatGPT-like LLM from scratch, step by step

lm-evaluation-harness

A framework for few-shot evaluation of autoregressive language models.

mteb

MTEB: Massive Text Embedding Benchmark

ncps

PyTorch and TensorFlow implementation of NCP, LTC, and CfC wired neural models

openai-cookbook

Examples and guides for using the OpenAI API