bruinxiong Goto Github PK

learnit

learnopencv

Learn OpenCV : C++ and Python Examples

learntopayattention

PyTorch implementation of ICLR 2018 paper Learn To Pay Attention (and some modification)

libra_r-cnn

Code for CVPR 2019 paper "Libra R-CNN: Towards Balanced Learning for Object Detection"

lingvo

Lingvo

lip2wav

This is the repository containing codes for our CVPR, 2020 paper titled "Learning Individual Speaking Styles for Accurate Lip to Speech Synthesis"

llama

Inference code for LLaMA models

llama-x

Open Academic Research on Improving LLaMA to SOTA LLM

llff

Code release for Local Light Field Fusion at SIGGRAPH 2019

local-feature-refinement

Multi-View Optimization of Local Feature Geometry

localaggregation

Tensorflow implementation for "Local Aggregation for Unsupervised Learning of Visual Embeddings"

loftr

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

logan

This repository implements the latent optimization using automatic differentiation from the paper LOGAN.

lolminer-releases

long-tailed-recognition.pytorch

[NeurIPS 2020] This project provides a strong single-stage baseline for Long-Tailed Classification, Detection, and Instance Segmentation (LVIS). It is also a PyTorch implementation of the NeurIPS 2020 paper 'Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect'.

long-term-visual-tracking

lookahead-tensorflow

Lookahead optimizer https://arxiv.org/abs/1907.08610

lookahead_pytorch

pytorch implement of Lookahead Optimizer

lookahead_tensorflow

Lookahead optimizer ("Lookahead Optimizer: k steps forward, 1 step back") for tensorflow

lora

Using Low-rank adaptation to quickly fine-tune diffusion models.

luma.gl

High-performance Toolkit for WebGL-based Data Visualization

m2m

Code for the paper "M2m: Imbalanced Classification via Major-to-minor Translation" (CVPR 2020)

machine-learning-notes

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接

madan

Pytorch Code release for our NeurIPS paper "Multi-source Domain Adaptation for Semantic Segmentation"

mae

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

mae-pytorch

Unofficial PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners

manhattan_sdf

Code for "Neural 3D Scene Reconstruction with the Manhattan-world Assumption" CVPR 2022 Oral

marker-based-slam

SPM-SLAM (improved)

marl

多智能体强化学习

mask-ukf

Instance Segmentation Aided 6D Object Pose and Velocity Tracking using an Unscented Kalman Filter