Alternatives and similar repositories for templates-GPUs

Users that are interested in templates-GPUs are comparing it to the libraries listed below

• cnellington / Contextualized
  An SKLearn-style toolbox for estimating and analyzing models, distributions, and functions with context-specific parameters.
  ☆76Updated 3 weeks ago
• scikit-learn-contrib / scikit-dimension
  A Python package for intrinsic dimension estimation
  ☆92Updated 4 months ago
• berenslab / contrastive-ne
  Contrastive neighbor embeddings
  ☆54Updated this week
• McWilliamsCenter / slurm_jupyter
  Brief notes on how to run and access a jupyter notebook on a login node and a compute node using the SLURM cluster scheduler
  ☆58Updated 3 years ago
• elyall / wandb_on_slurm
  Example of how to use Weights & Biases on Slurm
  ☆117Updated 3 years ago
• genedisco / genedisco-starter
  The starter repository for submissions to the GeneDisco challenge for optimized experimental design in genetic perturbation experiments.
  ☆24Updated 3 years ago
• sciai-lab / cl-tsne-umap
  ☆33Updated 3 months ago
• y0ast / slurm-for-ml
  A Machine Learning workflow for Slurm.
  ☆150Updated 4 years ago
• NERSC / slurm-ray-cluster
  ☆59Updated 2 years ago
• jejjohnson / research_journal
  My Research Journal covering various topics that interest me. They're mostly scattered notes and resources.
  ☆34Updated 3 years ago
• Yu-Group / veridical-flow
  Making it easier to build stable, trustworthy data-science pipelines based on the PCS framework.
  ☆71Updated last year
• KrishnaswamyLab / TrajectoryNet
  TrajectoryNet: A Dynamic Optimal Transport Network for Modeling Cellular Dynamics
  ☆123Updated last year
• sunericd / dynamicviz
  ☆61Updated 7 months ago
• amq92 / simple_slurm
  A simple Python wrapper for Slurm with flexibility in mind.
  ☆152Updated 3 months ago
• rongstat / meta-visualization
  A spectral method for assessing and combining multiple data visualizations
  ☆50Updated 2 years ago
• timsainb / ParametricUMAP_paper
  Parametric UMAP embeddings for representation and semisupervised learning. From the paper "Parametric UMAP: learning embeddings with deep…
  ☆151Updated 4 years ago
• msesia / deepknockoffs
  Approximate knockoffs and model-free variable selection.
  ☆55Updated 3 years ago
• facebookresearch / CPA
  The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell lev…
  ☆179Updated last year
• facebookresearch / PoincareMaps
  The need to understand cell developmental processes has spawned a plethora of computational methods for discovering hierarchies from scRN…
  ☆148Updated 3 years ago
• dcroote / stanford-thesis-example
  Stanford LaTeX thesis template
  ☆57Updated last year
• JmlrOrg / jmlr-style-file
  LaTeX style file for the Journal of Machine Learning Research
  ☆144Updated last year
• Lightning-Universe / Research-template
  Quickest way to share everything about your research within a single app
  ☆37Updated 10 months ago
• sissa-data-science / DADApy
  Distance-based Analysis of DAta-manifolds in python
  ☆132Updated last month
• ecotner / statistical-rethinking
  Following along with Statistical Rethinking text on Bayesian modeling by McElreath
  ☆65Updated 4 years ago
• jmschrei / torchegranate
  A temporary repository hosting a pomegranate re-write using PyTorch as the backend.
  ☆72Updated 2 years ago
• gcorso / NeuroSEED
  Implementation of Neural Distance Embeddings for Biological Sequences (NeuroSEED) in PyTorch (NeurIPS 2021)
  ☆72Updated last year
• aradha / recursive_feature_machines
  ☆56Updated 4 months ago
• TorchUQ / torchuq
  A library for uncertainty quantification based on PyTorch
  ☆121Updated 3 years ago
• ml-jku / DeepRC
  DeepRC: Immune repertoire classification with attention-based deep massive multiple instance learning
  ☆119Updated last year
• tensorly / torch
  TensorLy-Torch: Deep Tensor Learning with TensorLy and PyTorch
  ☆80Updated last year