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again icon again

saas ai tutorial off youtube.com

auto-gpt icon auto-gpt

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

awesome-prompt-engineering icon awesome-prompt-engineering

This repository contains a hand-curated resources for Prompt Engineering with a focus on Generative Pre-trained Transformer (GPT), ChatGPT, PaLM etc

aws-sdk-pandas icon aws-sdk-pandas

pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).

azureml-examples icon azureml-examples

Official community-driven Azure Machine Learning examples, tested with GitHub Actions.

bing-gpt-voice-assistant icon bing-gpt-voice-assistant

This is a Python voice assistant that takes two different wake words. One for prompting Bing AI using EdgeGPT and the other will prompt the GPT-3.5-Turbo API

catalyst icon catalyst

A JIT compiler for hybrid quantum programs in PennyLane

deep-rl-class icon deep-rl-class

This repo contains the syllabus of the Hugging Face Deep Reinforcement Learning Course.

deepspeed icon deepspeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

gpt-neox icon gpt-neox

An implementation of model parallel autoregressive transformers on GPUs, based on the DeepSpeed library.

gpt4all icon gpt4all

gpt4all: an ecosystem of open-source chatbots trained on a massive collections of clean assistant data including code, stories and dialogue

kaolin-wisp icon kaolin-wisp

NVIDIA Kaolin Wisp is a PyTorch library powered by NVIDIA Kaolin Core to work with neural fields (including NeRFs, NGLOD, instant-ngp and VQAD).

langchain icon langchain

⚡ Building applications with LLMs through composability ⚡

langkit icon langkit

🔍 LangKit: An open-source toolkit for monitoring Language Learning Models (LLMs). 📚 Extracts signals from prompts & responses, ensuring safety & security. 🛡️ Features include text quality, relevance metrics, & sentiment analysis. 📊 A comprehensive tool for LLM observability. 👀

markdown-here icon markdown-here

Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.

models icon models

A collection of pre-trained, state-of-the-art models in the ONNX format

nano-gpt icon nano-gpt

Code for Andrej Karpathy's NanoGPT youtube lecture: https://www.youtube.com/watch?v=kCc8FmEb1nY&ab_channel=AndrejKarpathy

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