Reverse Dependencies of dm-tree

The following projects have a declared dependency on dm-tree:

• afpdb — A Numpy-based PDB structure manipulation package
• ai-models-graphcast — An ai-models plugin to run Deepmind's graphcast model
• ai-models-graphcast-gfs — Run graphcast ai weather models with capabilities for GFS and GDAS initial conditions and NetCDF output
• aironsuit — A model wrapper for automatic model design and visualization purposes.
• alphafold — An implementation of the inference pipeline of AlphaFold v2.0.This is a completely new model that was entered as AlphaFold2 in CASP14 and published in Nature.
• alphafold-colabfold — An implementation of the inference pipeline of AlphaFold v2.3.1. This is a completely new model that was entered as AlphaFold2 in CASP14 and published in Nature. This package contains patches for colabfold.
• alphafold-kagglefold — An implementation of the inference pipeline of AlphaFold v2.0.This is a completely new model that was entered as AlphaFold2 in CASP14 and published in Nature. This package contains patches for kagglefold
• alphapulldown — Pipeline allows massive screening using alphafold
• aquacropgym — openai-gym crop simulation environment
• arviz — Exploratory analysis of Bayesian models
• autokeras — AutoML for deep learning
• avalon-rl — Avalon: A Benchmark for RL Generalization Using Procedurally Generated Worlds
• blades — A Unified Benchmark Suite for Byzantine Attacks and Defenses in Federated Learning
• boltz — Boltz-1
• chemtrain — Machine-learning deep molecular dynamics potentials.
• chicken-coop — An environment for reproducing dominance hierarchies in RL agents
• compassdock — A comprehensive accurate assessment approach for deep learning based molecular docking
• cvt-tensorflow — TensorFlow 2.X reimplementation of CvT: Introducing Convolutions to Vision Transformers, Haiping Wu, Bin Xiao, Noel Codella, Mengchen Liu, Xiyang Dai, Lu Yuan, Lei Zhang.
• deephyper — Scalable asynchronous neural architecture and hyperparameter search for deep neural networks
• dks — A Python library implementing the DKS/TAT neural network transformation method.
• dm-env — A Python interface for Reinforcement Learning environments.
• dm-launchpad — Launchpad is a library that simplifies writing distributed programs and seamlessly launching them on a range of supported platforms.
• dm-launchpad-nightly — Launchpad is a library that simplifies writing distributed programs and seamlessly launching them on a range of supported platforms.
• dm-reverb-macos — Reverb is an efficient and easy-to-use data storage and transport system designed for machine learning research.
• dm-reverb-macos-nightly — Reverb is an efficient and easy-to-use data storage and transport system designed for machine learning research.
• dm-sonnet — Sonnet is a library for building neural networks in TensorFlow.
• dp-accounting — Tools for tracking differential privacy budgets
• effectful — Metaprogramming infrastructure
• enformer-dna-diff — This is a package for that combines DeepMind Enformer model with DNA Diffusion project
• etils — Collection of common python utils
• fair-esm — Evolutionary Scale Modeling (esm): Pretrained language models for proteins. From Facebook AI Research.
• federated-language — A framework for implementing federated algorithms and computations on privacy-sensitive data.
• fedlib — A Scalable Federated Learning Library
• feffery-leaflet-components — Best implementation of Leaflet in Plotly Dash.
• fudstop — no summary
• fudstop2 — A market data API aggregator for analysis and real-time feeds.
• gcvit-tensorflow — TensorFlow 2.X reimplementation of Global Context Vision Transformers, Ali Hatamizadeh, Hongxu (Danny) Yin, Jan Kautz Pavlo Molchanov.
• grain — Grain: A library for loading and transforming data for neural network training.
• grain-nightly — Grain: A library for loading and transforming data for neural network training.
• imt-diodem — DIODEM -- A Diverse Inertial and Optical Dataset of kinEmatic chain Motion
• imt-tree_utils — Utilities for working with Pytrees
• ivystar — python tools package of ivystar
• jax-verify — A library for neural network verification.
• jaxex — A tool for creating science experiments in jax, torch, brax, etc
• jraph — Jraph: A library for Graph Neural Networks in Jax
• juxtapose — no summary
• keras-core — Multi-backend Keras.
• kfac-jax — A Jax package for approximate curvature estimation and optimization using KFAC.
• ldp — Agent framework for constructing language model agents and training on constructive tasks.
• metalgpy — Describe and manipulate programs as Meta-Algorithms in Python.
• microsim — Light microscopy simulation in python
• mktdata — no summary
• modelgenerator — AIDO.ModelGenerator is a software stack powering the development of an AI-driven Digital Organism by enabling researchers to adapt pretrained models and generate finetuned models for downstream tasks.
• moss-rl — A Python library for Reinforcement Learning.
• mozi-ai — 墨子AI:军事人工智能领航者, developed by HSFW
• neural-mmo — Neural MMO is a massively multiagent environment for artificial intelligence research inspired by Massively Multiplayer Online (MMO) role-playing games
• neuroflex — An advanced neural network framework with interpretability, generalization, robustness, and fairness features
• nmmo — Neural MMO is a platform for multiagent intelligence research inspired by Massively Multiplayer Online (MMO) role-playing games. Documentation hosted at neuralmmo.github.io.
• optax — A gradient processing and optimization library in JAX.
• optree — Optimized PyTree Utilities.
• orb-models — Foundation models for computational chemistry.
• peptide-encoder — An encoder for peptides (short amino acid sequences) based on BLOSUM similarity.
• pre-ai-python — Microsoft AI Python Package
• Protenix — A trainable PyTorch reproduction of AlphaFold 3.
• raylab — Reinforcement learning algorithms in RLlib and PyTorch.
• RosettaPy — A Python utility for wrapping Rosetta command line tools.
• scraping-orbit — Tools for web-scraping and automation projects.
• sphinx-summaries — no summary
• stars-omics — A spatial transcriptomics analysis tool.
• tensor-annotations — Enables annotations of tensor shapes in numerical computing libraries. Includes type stubs for TensorFlow and JAX describing how library functions change shapes.
• tensorflow-datasets — tensorflow/datasets is a library of datasets ready to use with TensorFlow.
• tensorflow-federated — TensorFlow Federated is an open-source federated learning framework.
• tensorflow-federated-nightly — TensorFlow Federated is an open-source federated learning framework.
• tensorflow-ml — Tensorflow ML
• tensorflow-model-optimization — A suite of tools that users, both novice and advanced can use to optimize machine learning models for deployment and execution.
• tensorflow-privacy — A privacy-focused machine learning framework
• tensorflow-probability — Probabilistic modeling and statistical inference in TensorFlow
• tf-model-optimization-nightly — A suite of tools that users, both novice and advanced can use to optimize machine learning models for deployment and execution.
• tf2jax — TF2JAX: Convert TensorFlow to JAX
• tfds-nightly — tensorflow/datasets is a library of datasets ready to use with TensorFlow.
• TFOD-Automatic — Automated Object detection for Beginner using python and Tensorflow
• tfp-nightly — Probabilistic modeling and statistical inference in TensorFlow
• tiffslide-xarray — Xarray extension that uses xarray to lazy read 2D Tiff files.
• treevalue — A flexible, generalized tree-based data structure.
• trfl — trfl is a library of building blocks for reinforcement learning algorithms.
• tsuite — tsuite: Get your RL agent fixed today!
• van-classification-tensorflow — TensorFlow 2.X reimplementation of Visual Attention Network, Meng-Hao Guo, Cheng-Ze Lu, Zheng-Ning Liu, Ming-Ming Cheng, Shi-Min Hu.
• webull-options — no summary
• wsiml — Project to support machine learning on whole slide images. Currently a placeholder in pre-alpha.
• yunta — Predicting protein-protein interactions and structures from multiple sequence alignments.