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Scalable datastore for metrics, events, and real-time analytics
A holistic evaluation library for multi-modal generative models using Weave
DSPy: The framework for programming—not prompting—language models
OpenUI let's you describe UI using your imagination, then see it rendered live.
wandbot is a technical support bot for Weights & Biases' AI developer tools that can run in Discord, Slack, ChatGPT and Zendesk
Python bindings for the Transformer models implemented in C/C++ using GGML library.
Weave is a toolkit for developing AI-powered applications, built by Weights & Biases.
Collective Knowledge (CK), Collective Mind (CM/CMX) and MLPerf automations: community-driven projects to facilitate collaborative and reproducible research and to learn how to run AI, ML, and other…
A highly efficient implementation of Gaussian Processes in PyTorch
Robust Speech Recognition via Large-Scale Weak Supervision
Massively parallel rigidbody physics simulation on accelerator hardware.
Unofficial Julia bindings for logging experiments to wandb.ai
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://activelo…
Avalanche: an End-to-End Library for Continual Learning based on PyTorch.
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
Utilities and boilerplate code to use wandb with allennlp
Official Repository for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]
Pytorch implementation of cnn network
Python package containing all custom layers used in Neural Networks (Compatible with PyTorch, TensorFlow and MegEngine)
Using Teachable Machine Models in Node.js
[ICML 2020] DrRepair: Learning to Repair Programs from Error Messages
Bringing Old Photo Back to Life (CVPR 2020 oral)
A library to conduct ranking experiments with transformers.
This is a collection of the code that accompanies the reports in The Gallery by Weights & Biases.