Reverse Dependencies of ml-collections

The following projects have a declared dependency on ml-collections:

• absl-extra — A wrapper to run and monitor absl app.
• 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
• audio-separator — Easy to use audio stem separation, using various models from UVR trained primarily by @Anjok07
• best-package — no summary
• bocas — no summary
• brax — A differentiable physics engine written in JAX.
• clu — Set of libraries for ML training loops in JAX.
• deepconsensus — DeepConsensus
• deepnull — Models nonlinear interactions between covariates and phenotypes
• dopamax — Reinforcement learning in pure JAX.
• energat — EnergAt: A software energy attribution tool.
• fair-esm — Evolutionary Scale Modeling (esm): Pretrained language models for proteins. From Facebook AI Research.
• fjformer — Embark on a journey of paralleled/unparalleled computational prowess with FJFormer - an arsenal of custom Jax Flax Functions and Utils that elevate your AI endeavors to new heights!
• flax — Flax: A neural network library for JAX designed for flexibility
• gpjax-nightly — Didactic Gaussian processes in Jax.
• gtech-optimus — Optimus library for real-time marketing personalization using RL.
• hivegraph — Python Framework based on PyG for working with Graph Neural Networks
• jax-md — Differentiable, Hardware Accelerated, Molecular Dynamics
• JaxUtils — Utility functions for JaxGaussianProcesses
• jaxutils-nightly — Utility functions for JaxGaussianProcesses
• lit-nlp — Language Interpretability Tool.
• lxm3 — LXM3: XManager launch backend for HPC clusters
• malet — Malet: a tool for machine learning experiment
• mambo-minhhai — A small example package
• mindvision — An open source computer vision research tool box. Git version: [sha1]:9ca4be2, [branch]: (HEAD, origin/master, origin/HEAD, master)
• modelscope — ModelScope: bring the notion of Model-as-a-Service to life.
• modularbayes — Modular Bayesian Inference.
• MOGPJax — Didactic multi-output Gaussian processes in Jax.
• moxtrice — A simple tool to synchronize between moxfield.com and cockatrice
• open-spiel — A Framework for Reinforcement Learning in Games
• paltax — Strong lensing package using jax
• scvi-tools — Deep probabilistic analysis of single-cell omics data.
• sentinex — Sentinex: A high level interface aimed towards rapid prototyping and intuitive workflow for JAX.
• tensorflow-gnn — A library for building scalable graph neural networks in TensorFlow.
• tensorwrap — TensorWrap: A high level TensorFlow wrapper for JAX.
• tux — Tools and Utils. Some tools and utils modified from many other code to fit my needs.
• vis4d — Vis4D Python package for Visual 4D scene understanding
• vivs — Calibrated Variational Inference for single-cell omics.
• xregi — A package for automatic 2D/3D registration of X-ray and CT images