Alternatives and similar repositories for eth-dl-cheat-sheet

Users that are interested in eth-dl-cheat-sheet are comparing it to the libraries listed below

• cheind / autoregressive
  Autoregressive Models in PyTorch.
  ☆83Updated 3 years ago
• Felix-Petersen / algovision
  Differentiable Algorithms and Algorithmic Supervision.
  ☆116Updated 2 years ago
• probml / ssm-book
  Interactive textbook on state-space models
  ☆197Updated last year
• microsoft / ReinMax
  Beyond Straight-Through
  ☆102Updated 2 years ago
• YinTat / optimizationbook
  ☆144Updated 3 months ago
• SHI-Yu-Zhe / generative-modeling-explained
  Ying Nian Wu's UCLA Statistical Machine Learning Tutorial on generative modeling.
  ☆61Updated 2 years ago
• j3soon / tbparse
  Load tensorboard event logs as pandas DataFrames for scientific plotting; Supports both PyTorch and TensorFlow
  ☆204Updated last year
• HEmile / storchastic
  Stochastic Automatic Differentiation library for PyTorch.
  ☆206Updated last year
• google-deepmind / neural_networks_chomsky_hierarchy
  Neural Networks and the Chomsky Hierarchy
  ☆209Updated last year
• AhmedImtiazPrio / splinecam
  Exact method for visualizing partitions of a Deep Neural Network, CVPR 2023 Highlight
  ☆109Updated 7 months ago
• bremen79 / parameterfree
  Parameter-Free Optimizers for Pytorch
  ☆130Updated last year
• RylanSchaeffer / Stanford-LaTeX-Poster-Template
  Stanford LaTeX poster template
  ☆198Updated 2 months ago
• google-deepmind / conformal_training
  This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…
  ☆130Updated 3 years ago
• radarFudan / mamba-minimal-jax
  ☆34Updated 10 months ago
• google-deepmind / tell_me_why_explanations_rl
  ☆37Updated 2 years ago
• awf / functional-transformer
  A pure-functional implementation of a machine learning transformer model in Python/JAX
  ☆180Updated 4 months ago
• facebookincubator / flowtorch
  This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a…
  ☆308Updated 2 months ago
• khdlr / augmax
  Efficiently Composable Data Augmentation on the GPU with Jax
  ☆39Updated 4 months ago
• probabilisticai / probai-2022
  Materials of the Nordic Probabilistic AI School 2022.
  ☆179Updated 3 years ago
• Johswald / awesome-hypernetworks
  ☆65Updated 3 years ago
• taufeeque9 / codebook-features
  Sparse and discrete interpretability tool for neural networks
  ☆63Updated last year
• tengyuma / cs229m_notes
  ☆235Updated 2 years ago
• florist-notes / CS228_PGM
  🌲 Stanford CS 228 - Probabilistic Graphical Models
  ☆139Updated last year
• thjashin / multires-conv
  Sequence Modeling with Multiresolution Convolutional Memory (ICML 2023)
  ☆127Updated last year
• amitness / open-in-overleaf
  Access latex source of any arxiv.org paper directly on overleaf
  ☆202Updated last year
• KindXiaoming / Omnigrok
  Omnigrok: Grokking Beyond Algorithmic Data
  ☆62Updated 2 years ago
• albanie / algorithms-and-data-structures
  Video descriptions and minimalist Python implementations of algorithms and data structures.
  ☆69Updated last year
• DarshanDeshpande / jax-models
  Unofficial JAX implementations of deep learning research papers
  ☆156Updated 3 years ago
• google-deepmind / physical_concepts
  ☆107Updated 3 years ago
• irregular-rhomboid / EAI-Math-Reading-Group
  Resources from the EleutherAI Math Reading Group
  ☆54Updated 6 months ago