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wujinlonglovezhangmiao1314's Projects

improved-gan icon improved-gan

code for the paper "Improved Techniques for Training GANs"

infogan icon infogan

Code for reproducing key results in the paper "InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets"

ircnn icon ircnn

Learning Deep CNN Denoiser Prior for Image Restoration (CVPR, 2017)

jetson-inference icon jetson-inference

Guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

kissfft icon kissfft

mostly a mirror of the original kissfft source by Mark Borgerding.

lab icon lab

[CVPR 2018] Look at Boundary: A Boundary-Aware Face Alignment Algorithm

learn_prox_ops icon learn_prox_ops

Implementation of Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging Problems

led icon led

[ICCV 2023] Lighting Every Darkness in Two Pairs: A Calibration-Free Pipeline for RAW Denoising && [Arxiv 2023] Make Explicit Calibration Implicit: Calibrate Denoiser Instead of the Noise Model

leveldb icon leveldb

LevelDB is a fast key-value storage library written at Google that provides an ordered mapping from string keys to string values.

lmdb icon lmdb

Read-only mirror of official repo on openldap.org. Issues and pull requests here are ignored. Use OpenLDAP ITS for issues.

maml icon maml

Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

maml-pytorch icon maml-pytorch

Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)

mediapipe icon mediapipe

Cross-platform, customizable ML solutions for live and streaming media.

meta-learning-lstm icon meta-learning-lstm

This repo contains the source code accompanying a scientific paper with the same name.

mingpt icon mingpt

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

mmtracking icon mmtracking

OpenMMLab Video Perception Toolbox. It supports Single Object Tracking (SOT), Multiple Object Tracking (MOT), Video Object Detection (VID) with a unified framework.

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