ziegler-ingo

annotated_deep_learning_paper_implementations

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

llama3

The official Meta Llama 3 GitHub site

llm.c

LLM training in simple, raw C/CUDA

pytudes

Python programs, usually short, of considerable difficulty, to perfect particular skills.

fastbook

The fastai book, published as Jupyter Notebooks

minGPT

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

lectures

Oxford Deep NLP 2017 course

Awesome-Diffusion-Models

A collection of resources and papers on Diffusion Models

CoreNLP

CoreNLP: A Java suite of core NLP tools for tokenization, sentence segmentation, NER, parsing, coreference, sentiment analysis, etc.

einops

Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

pyprobml

Python code for "Probabilistic Machine learning" book by Kevin Murphy

mamba-minimal

Simple, minimal implementation of the Mamba SSM in one file of PyTorch.

aws-machine-learning-university-accelerated-nlp

Machine Learning University: Accelerated Natural Language Processing Class

adjustText

A small library for automatically adjustment of text position in matplotlib plots to minimize overlaps.

haskell-trainings

Haskell 101 and 102: slides and codelabs

BeautifulAlgorithms.jl

Concise and beautiful algorithms written in Julia

awesome-information-retrieval

A curated list of awesome information retrieval resources

bottleneck-transformer-pytorch

Implementation of Bottleneck Transformer in Pytorch

DivideMix

Code for paper: DivideMix: Learning with Noisy Labels as Semi-supervised Learning

CoTNet

This is an official implementation for "Contextual Transformer Networks for Visual Recognition".

CheXzero

This repository contains code to train a self-supervised learning model on chest X-ray images that lack explicit annotations and evaluate this model's performance on pathology-classification tasks.

DDU

Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty

DUE

Code for "On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty".

diffusion-nlp-paper-arxiv

Auto get diffusion nlp papers in Axriv. More papers Information can be found in another repository "Diffusion_NLP_Papers".

sinkformers

Transformers with doubly stochastic attention

BERT-ENN

Uncertainty-Aware Reliable Text Classification (KDD 2021)

sto-transformer

syntax-2021

Kursseite mit Materialien zur Vorlesung "Syntax natürlicher Sprachen" im Wintersemester 2020/21 (CIS, LMU München)