activeloopai / deeplake
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
β8,393Updated this week
Alternatives and similar repositories for deeplake:
Users that are interested in deeplake are comparing it to the libraries listed below
- Open source platform for the machine learning lifecycleβ19,510Updated this week
- The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!β7,374Updated this week
- π A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (iβ¦β8,325Updated this week
- π€ The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation toolsβ19,637Updated this week
- π₯ Fast State-of-the-Art Tokenizers optimized for Research and Productionβ9,378Updated this week
- Unsupervised text tokenizer for Neural Network-based text generation.β10,598Updated last week
- A hyperparameter optimization frameworkβ11,382Updated this week
- The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.β10,180Updated last week
- Trax β Deep Learning with Clear Code and Speedβ8,161Updated last week
- Development repository for the Triton language and compilerβ14,452Updated this week
- Serve, optimize and scale PyTorch models in productionβ4,294Updated this week
- Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.β14,385Updated 2 weeks ago
- Ongoing research training transformer models at scaleβ11,414Updated this week
- Facebook AI Research Sequence-to-Sequence Toolkit written in Python.β30,987Updated last month
- Train transformer language models with reinforcement learning.β11,688Updated this week
- Aim π« β An easy-to-use & supercharged open-source experiment tracker.β5,355Updated this week
- The fastai deep learning libraryβ26,639Updated 2 months ago
- π€ PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.β17,319Updated this week
- Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.β35,474Updated this week
- AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file convertβ¦β19,209Updated this week
- A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) trainingβ21,365Updated 6 months ago
- Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)β8,735Updated last week
- The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic β¦β3,520Updated this week
- Repo for external large-scale workβ6,517Updated 9 months ago
- π¦ Data Versioning and ML Experimentsβ14,168Updated this week
- QLoRA: Efficient Finetuning of Quantized LLMsβ10,246Updated 8 months ago
- TensorFlow's Visualization Toolkitβ6,788Updated last week
- DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.β36,800Updated this week
- BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)β7,130Updated last year
- Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.β29,003Updated this week