liujianzhao6328057's repositories
kernel-prediction-networks-PyTorch
Reimplement of 'Burst Denoising with Kernel Prediction Networks' and 'Multi-Kernel Prediction Networks for Denoising of Image Burst' by using PyTorch
AAAI2020-RFMetaFAS
Codes for Regularized Fine-grained Meta Face Anti-spoofing in AAAI 2020
Automold--Road-Augmentation-Library
This library augments road images to introduce various real world scenarios that pose challenges for training neural networks of Autonomous vehicles. Automold is created to train CNNs in specific weather and road conditions.
Awesome-CVPR-Paper
CVPR 论文收集，包含但不限于2020、2019、2018、2017文章
Awesome-FAS
Paper collection of about the face anti-spoofing
Awesome-Knowledge-Distillation-1
Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2020)。
Awesome-Learning-with-Label-Noise
A curated list of resources for Learning with Noisy Labels
Awesome-Visual-Transformer
Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)
awsome-domain-adaptation
A collection of AWESOME things about domian adaptation
Bringing-Old-Photos-Back-to-Life
Bringing Old Photo Back to Life (CVPR 2020 oral)
continual-learning
PyTorch implementation of various methods for continual learning (XdG, EWC, online EWC, SI, LwF, GR, GR+distill, RtF, ER, A-GEM, iCaRL).
Dassl.pytorch
A PyTorch toolbox for domain adaptation and semi-supervised learning.
DeepClustering
Methods and Implements of Deep Clustering
DISTS
IQA: Deep Image Structure and Texture Similarity Metric
fastdvdnet
FastDVDnet: A Very Fast Deep Video Denoising algorithm
HowToTrainYourMAMLPytorch
The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) paper in Pytorch.
interview_internal_reference
2021年最新总结，阿里，腾讯，百度，美团，头条等技术面试题目，以及答案，专家出题人分析汇总。
KamalEngine
Knowledge Amalgamation Engine
learn-to-cluster
Learning to Cluster Faces (CVPR 2019, CVPR 2020)
LeetcodeTop
汇总各大互联网公司容易考察的高频leetcode题🔥
MetaLearningPapers
A classified list of meta learning papers based on realm.
mrcl
Code for the NeurIPS19 paper "Meta-Learning Representations for Continual Learning"
ms_ssim_pytorch-1
A fast ssim & ms-ssim implement code with pytorch jit.
noise2self
A framework for blind denoising with self-supervision.
pixel2style2pixel
Official Implementation for "Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation"
RepDistiller
[ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods
statistical-learning-method
李航-统计学习方法-代码实现
tensorflow-tutorial
Example TensorFlow codes and Caicloud TensorFlow as a Service dev environment.