Alternatives and similar repositories for PracticalSessions2024:

Users that are interested in PracticalSessions2024 are comparing it to the libraries listed below

• google-deepmind / conformal_training
  This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…
  ☆129Updated 2 years ago
• eemlcommunity / PracticalSessions2023
  ☆45Updated last year
• itsdaniele / jeometric
  Graph neural networks in JAX.
  ☆67Updated 9 months ago
• bilal-chughtai / rep-theory-mech-interp
  ☆26Updated last year
• TorchDR / TorchDR
  TorchDR - PyTorch Dimensionality Reduction
  ☆96Updated last month
• mkofinas / neural-graphs
  Official source code for "Graph Neural Networks for Learning Equivariant Representations of Neural Networks". In ICLR 2024 (oral).
  ☆77Updated 8 months ago
• probabilisticai / probai-2023
  Materials of the Nordic Probabilistic AI School 2023.
  ☆89Updated last year
• taufeeque9 / codebook-features
  Sparse and discrete interpretability tool for neural networks
  ☆59Updated last year
• geometric-intelligence / TopoBench
  TopoBench is a Python library designed to standardize benchmarking and accelerate research in Topological Deep Learning
  ☆107Updated this week
• bhaweshiitk / ConformalLLM
  Extending Conformal Prediction to LLMs
  ☆64Updated 9 months ago
• eemlcommunity / PracticalSessions2022
  Hands-on tutorials at EEML2022 summer school
  ☆62Updated 2 years ago
• apartresearch / interpretability-starter
  🧠 Starter templates for doing interpretability research
  ☆67Updated last year
• advaitgosai / autocite
  simple bibtex generator for any text with \cite{}
  ☆31Updated 8 months ago
• M2Lschool / tutorials2022
  The M2L school 2022 tutorials
  ☆36Updated 2 years ago
• xbresson / CS6208_2023
  Advanced Topics in Artificial Intelligence, NUS CS6208, 2023
  ☆321Updated last year
• april-tools / gekcs
  How to Turn Your Knowledge Graph Embeddings into Generative Models
  ☆50Updated 8 months ago
• BlackHC / neural_net_checklist
  ☆149Updated 7 months ago
• probabilisticai / probai-2022
  Materials of the Nordic Probabilistic AI School 2022.
  ☆175Updated 2 years ago
• requeima / llm_processes
  ☆55Updated 2 weeks ago
• helblazer811 / diffusion-visualizations
  Visualizations of the theory behind diffusion models.
  ☆151Updated 11 months ago
• flukeskywalker / nanoDD
  Simple Scalable Discrete Diffusion for text in PyTorch
  ☆33Updated 5 months ago
• AhmedImtiazPrio / splinecam
  Exact method for visualizing partitions of a Deep Neural Network, CVPR 2023 Highlight
  ☆100Updated last month
• Modalities / modalities
  Modalities, a PyTorch-native framework for distributed and reproducible foundation model training.
  ☆72Updated this week
• google-research / talk-like-a-graph
  ☆132Updated 7 months ago
• recursionpharma / gflownet
  GFlowNet library specialized for graph & molecular data
  ☆232Updated 3 weeks ago
• google-deepmind / digraph_transformer
  ☆116Updated last year
• awesome-tnns / awesome-tnns
  ☆174Updated last year
• AakashKumarNain / diffusion_models
  All about the fundamentals and working of Diffusion Models
  ☆155Updated 2 years ago
• yobibyte / compressor
  Because we don't have enough time to read everything
  ☆87Updated 6 months ago
• shikaiqiu / compute-better-spent
  ☆52Updated 5 months ago