Alternatives and similar repositories for uvadlc_practicals_2022

Users that are interested in uvadlc_practicals_2022 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…
  ☆130Updated 2 years ago
• probabilisticai / probai-2023
  Materials of the Nordic Probabilistic AI School 2023.
  ☆90Updated last year
• expz / annotated-hyena
  An annotated implementation of the Hyena Hierarchy paper
  ☆33Updated 2 years ago
• msaroufim / mynotes
  ☆18Updated this week
• google-deepmind / eigengame
  Open source code for EigenGame.
  ☆30Updated 2 years ago
• 8bitmp3 / JAX-Flax-Tutorial-Image-Classification-with-Linen
  How to use the Flax Linen API to build a convolutional neural network model and train it for image classification (using TensorFlow Datas…
  ☆24Updated last year
• rasbt / pytorch-fabric-demo
  ☆26Updated 2 years ago
• radarFudan / mamba-minimal-jax
  ☆31Updated 7 months ago
• Ping-C / optimizer
  This repository includes code to reproduce the tables in "Loss Landscapes are All You Need: Neural Network Generalization Can Be Explaine…
  ☆37Updated 2 years ago
• gwgundersen / rflvm
  Random feature latent variable models in Python
  ☆22Updated last year
• SummerSchoolMachineLearning / SMILES2020
  Repository with all material for SMILES, the Summer School of Machine Learning at Skoltech, taking place from the 16th to the 21st of Aug…
  ☆55Updated 4 years ago
• gebob19 / introduction_to_normalizing_flows
  Jupyter Notebook corresponding to 'Going with the Flow: An Introduction to Normalizing Flows'
  ☆26Updated 4 years ago
• slinderman / stats305c
  STATS305C: Applied Statistics III (Spring, 2023)
  ☆26Updated 2 years ago
• srush / mamba-primer
  ☆37Updated last year
• adrianjav / heterogeneous_vaes
  Pytorch implementation of VAEs for heterogeneous likelihoods.
  ☆42Updated 2 years ago
• loeweX / Custom-ConvLayers-Pytorch
  A reimplementation of 2D Convolutional and Transposed Convolutional Layers in PyTorch, designed for easy modifications and analysis. Incl…
  ☆20Updated last year
• nipunbatra / pml-teaching
  ☆24Updated last year
• facebookresearch / LAWT
  Code for papers Linear Algebra with Transformers (TMLR) and What is my Math Transformer Doing? (AI for Maths Workshop, Neurips 2022)
  ☆68Updated 10 months ago
• google-deepmind / transformer_grammars
  Transformer Grammars: Augmenting Transformer Language Models with Syntactic Inductive Biases at Scale, TACL (2022)
  ☆126Updated last week
• hundredblocks / large-model-parallelism
  Functional local implementations of main model parallelism approaches
  ☆95Updated 2 years ago
• AndreasMadsen / nlp-roar-interpretability
  Measuring if attention is explanation with ROAR
  ☆22Updated 2 years ago
• bhaweshiitk / ConformalLLM
  Extending Conformal Prediction to LLMs
  ☆66Updated last year
• yash-srivastava19 / arrakis
  Arrakis is a library to conduct, track and visualize mechanistic interpretability experiments.
  ☆29Updated 2 months ago
• mle-infrastructure / mle-logging
  Lightweight ML Experiment Logging 📖
  ☆79Updated 10 months ago
• probabilisticai / probai-2022
  Materials of the Nordic Probabilistic AI School 2022.
  ☆181Updated 2 years ago
• proger / nanokitchen
  Parallel Associative Scan for Language Models
  ☆18Updated last year
• data-psl / lectures2020
  ☆47Updated 2 years ago
• Sea-Snell / grokking
  unofficial re-implementation of "Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets"
  ☆78Updated 2 years ago
• irhum / hyena
  JAX/Flax implementation of the Hyena Hierarchy
  ☆34Updated 2 years ago
• taufeeque9 / codebook-features
  Sparse and discrete interpretability tool for neural networks
  ☆63Updated last year