DingFong's starred repositories
insightface
State-of-the-art 2D and 3D Face Analysis Project
Dataset_Quantization
[ICCV2023] Dataset Quantization
Simplify-Swarm-Optimization
This is a simple implementation of Simplify Swarm Optimization in Python & C ++ for further customized use.
LLM-scientific-feedback
Can large language models provide useful feedback on research papers? A large-scale empirical analysis.
awesome-computer-vision
A curated list of awesome computer vision resources
gpt_academic
为GPT/GLM等LLM大语言模型提供实用化交互接口,特别优化论文阅读/润色/写作体验,模块化设计,支持自定义快捷按钮&函数插件,支持Python和C++等项目剖析&自译解功能,PDF/LaTex论文翻译&总结功能,支持并行问询多种LLM模型,支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。
latex_paper_writing_tips
Tips for Writing a Research Paper using LaTeX
Co-teaching
NeurIPS'18: Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels
seam-carving
A super-fast Python implementation of seam carving algorithm for intelligent image resizing.
pytorch-cifar100
Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)
Efficient-Dataset-Condensation
Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)
Awesome-Dataset-Distillation
A curated list of awesome papers on dataset distillation and related applications.
DatasetCondensation
Dataset Condensation (ICLR21 and ICML21)
mtt-distillation
Official code for our CVPR '22 paper "Dataset Distillation by Matching Training Trajectories"
loss-landscapes
Approximating neural network loss landscapes in low-dimensional parameter subspaces for PyTorch
loss-landscape
Code for visualizing the loss landscape of neural nets
text-to-image
Generative Adversarial Text to Image Synthesis / Please Star -->