Name: Activeloop
Type: Organization
Bio: Activeloop team created Deep Lake, the database for AI. Stream, visualize, query, version all AI data - embeddings, images, video, text, etc. & use it with LLMs
Twitter: activeloopai
Location: Mountain View
Blog: activeloop.ai
Activeloop's Projects
Airbyte is an open-source EL(T) platform that helps you replicate your data in your warehouses, lakes and databases.
Benchmarks of approximate nearest neighbor libraries in Python
Hub backwards (buH) compatibility tests!
The ChatGPT Retrieval Plugin lets you easily search and find personal or work documents by asking questions in everyday language.
CUDA official sample codes
Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai
Training clip on LAION dataset using Deep Lake
GitBook Docs
Examples for quickly getting started using Deep Lake! https://activeloop.ai/
An implementation of model parallel GPT-3-like models on GPUs, based on the DeepSpeed library. Designed to be able to train models in the hundreds of billions of parameters or larger.
Notebooks and examples of using Hub datasets.
Redirects "pip install hub" and "import hub" to deeplake
Python 3.6/3.7 backport of python 3.8's SharedMemory
⚡ Building applications with LLMs through composability ⚡
Part of Gen AI 360: Foundational Model Certification Course
A library of data loaders for LLMs made by the community -- to be used with GPT Index and/or LangChain
LlamaIndex (GPT Index) is a data framework for your LLM applications
Fork of https://pypi.org/project/lzw with Python 3 support
The simplest, fastest repository for training/finetuning medium-sized GPTs.
The simplest, fastest repository for training/finetuning medium-sized GPTs streaming from Deep Lake
Interact privately with your documents using the power of GPT, 100% privately, no data leaks
Repository to store Activeloop public shared GitHub Actions
Demos for getting started with Snark
Serverless Deep Learning and Hyperparameter Search