ml-lab Goto Github PK

llama-adapter-2

Fine-tuning LLaMA to follow Instructions within 1 Hour and 1.2M Parameters

lm-lstm-crf

Empower Sequence Labeling with Task-Aware Language Model

lmw-tree

Learning M-Way Tree - Web Scale Clustering - EM-tree, K-tree, k-means, TSVQ, repeated k-means, clustering, random projections, random indexing, hashing, bit signatures

local-loss

PyTorch code for training neural networks without global back-propagation

local-search-quantization

State-of-the-art method for large-scale ANN search as of Oct 2016. Presented at ECCV 16.

loco

This repository contains the source code for the paper Compressed Volumetric Heatmaps for Multi-Person 3D Pose Estimation

logic_explainer_networks

Deep Logic is a python package providing a set of utilities to build deep learning models that are explainable by design.

lola

Code release for Learning with Opponent-Learning Awareness and variations.

longformer

Longformer: The Long-Document Transformer

look-and-modify

PyTorch Implementation of our BMVC2019 Paper Look and Modify: Modification Networks for Image Captioning

loop

A method to generate speech across multiple speakers

loopy

A code generator for array-based code on CPUs and GPUs

loopybeliefpropagation

Loopy belief propagation in Python 3

lopq

Training of Locally Optimized Product Quantization (LOPQ) models for approximate nearest neighbor search of high dimensional data in Python and Spark.

lore

Lore makes machine learning approachable for Software Engineers and maintainable for Machine Learning Researchers

loss-landscape

Code for visualizing the loss landscape of neural nets

loss-patterns

Loss Surface Sightseeing by Multi-Point Optimization

loss-to-followup-dae

Code for paper on loss to followup imputation using denoising autoencoders

lostgans

Official implementation of our ICCV19 paper "Image Synthesis From Reconfigurable Layout and Style"

loving-ai

low-rank-bilinear-pooling

Fine-grained classification with powerful second order statistics in a compact end-to-end trainable model (low rank bilinear pooling for fine-grained classification)

low-shot-shrink-hallucinate

Presenting Low-shot Visual Recognition by Shrinking and Hallucinating Features

lowrank-automl

A framework for automated machine learning based on low rank structure of error across datasets.

lowrank-gru

Gated Recurrent Unit with Low-rank matrix factorization

lowrankmodels.jl

LowRankModels.jl is a julia package for modeling and fitting generalized low rank models.

lpips-tensorflow

Tensorflow port for the Learned Perceptual Image Patch Similarity (LPIPS) metric.

lre

NIST Language i-vector Machine Learning Challenge

lrp_toolbox

The LRP Toolbox provides simple and accessible stand-alone implementations of LRP for artificial neural networks supporting Matlab and Python. The Toolbox realizes LRP functionality for the Caffe Deep Learning Framework as an extension of Caffe source code published in 10/2015.

lsat

"Least Squares Auto-Tuning" paper repository

lscdetection

Data Sets and Models for Evaluation of Lexical Semantic Change Detection