ziegler-ingo

llama3

The official Meta Llama 3 GitHub site

llm.c

LLM training in simple, raw C/CUDA

Awesome-Diffusion-Models

A collection of resources and papers on Diffusion Models

adjustText

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

diffusion-nlp-paper-arxiv

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

mamba-minimal

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

CoTNet

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

bottleneck-transformer-pytorch

Implementation of Bottleneck Transformer in Pytorch

einops

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

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, ... 🧠

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.

BERT-ENN

Uncertainty-Aware Reliable Text Classification (KDD 2021)

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".

sinkformers

Transformers with doubly stochastic attention

sto-transformer

DivideMix

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

awesome-information-retrieval

A curated list of awesome information retrieval resources

haskell-trainings

Haskell 101 and 102: slides and codelabs

BeautifulAlgorithms.jl

Concise and beautiful algorithms written in Julia

pytudes

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

pyprobml

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

syntax-2021

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

fastbook

The fastai book, published as Jupyter Notebooks

minGPT

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

aws-machine-learning-university-accelerated-nlp

Machine Learning University: Accelerated Natural Language Processing Class

CoreNLP

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

lectures

Oxford Deep NLP 2017 course