techthiyanes Goto Github PK

loftr

Code for "LoFTR: Detector-Free Local Feature Matching with Transformers", CVPR 2021

logger_tt

Logging makes simple. Log even the exception that you forgot to catch. Log messages from your print(msg). Support multiprocessing logging too.

logitnorm_ood

Official code for ICML 2022: Mitigating Neural Network Overconfidence with Logit Normalization

logo_detection

logpiles_segmentation

Code repository for paper Instance Segmentation for Autonomous Log Grasping in Forestry Operations

long-summarization

Resources for the NAACL 2018 paper "A Discourse-Aware Attention Model for Abstractive Summarization of Long Documents"

long-text-token-classification

long_stable_diffusion

longdocsum

Code for NAACL 2021 full paper "Efficient Attentions for Long Document Summarization"

longformer

Longformer: The Long-Document Transformer

longt5

lora

Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"

losslandscape

Explores the ideas presented in Deep Ensembles: A Loss Landscape Perspective (https://arxiv.org/abs/1912.02757) by Stanislav Fort, Huiyi Hu, and Balaji Lakshminarayanan.

lovaszsoftmax

Code for the Lovász-Softmax loss (CVPR 2018)

lovely-tensors

Tensors, ready for human consumption

lox

Threading and Multiprocessing made easy.

lpips-j

Minimal JAX/Flax port of `lpips` supporting `vgg16`, with pre-trained weights stored in the 🤗 Hugging Face hub.

lsr

Pytorch Implementation of our ACL 2020 Paper "Reasoning with Latent Structure Refinement for Document-Level Relation Extraction"

ludwig

Data-centric declarative deep learning framework

luganda-asr

luke

LUKE -- Language Understanding with Knowledge-based Embeddings

lxmert

PyTorch code for EMNLP 2019 paper "LXMERT: Learning Cross-Modality Encoder Representations from Transformers".

m1-machine-learning-test

Code for testing various M1 Chip benchmarks with TensorFlow.

m2d2

M2D2: A Massively Multi-domain Language Modeling Dataset (EMNLP 2022) by Machel Reid, Victor Zhong, Suchin Gururangan, Luke Zettlemoyer

m3tl

BERT for Multitask Learning

macaw

Multi-angle c(q)uestion answering

machine-learning

:earth_americas: machine learning tutorials (mainly in Python3)

machine-learning-notebooks

Ipython Notebooks about ML

machine-learning-notes

Collection of useful machine learning codes and snippets (originally intended for my personal use)

machine-learning-on-kubernetes

Machine Learning on Kubernetes, published by packt