DingFong's starred repositories

RDED

[CVPR 2024] On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm

Language:PythonLicense:Apache-2.0Stargazers:49Issues:0Issues:0

SRe2L

(NeurIPS 2023 spotlight) Large-scale Dataset Distillation/Condensation, 50 IPC (Images Per Class) achieves the highest 60.8% on original ImageNet-1K val set.

Language:PythonStargazers:116Issues:0Issues:0

insightface

State-of-the-art 2D and 3D Face Analysis Project

Language:PythonStargazers:22956Issues:0Issues:0

Dataset_Quantization

[ICCV2023] Dataset Quantization

Language:PythonStargazers:250Issues:0Issues:0

Simplify-Swarm-Optimization

This is a simple implementation of Simplify Swarm Optimization in Python & C ++ for further customized use.

Language:C++Stargazers:3Issues:0Issues:0

LLM-scientific-feedback

Can large language models provide useful feedback on research papers? A large-scale empirical analysis.

Language:PythonLicense:CC-BY-4.0Stargazers:494Issues:0Issues:0

awesome-computer-vision

A curated list of awesome computer vision resources

Stargazers:20790Issues:0Issues:0
Language:PythonStargazers:19Issues:0Issues:0
Language:C++Stargazers:64Issues:0Issues:0

DCC

This repository is the official implementation of Dataset Condensation with Contrastive Signals (DCC), accepted at ICML 2022.

Language:PythonStargazers:20Issues:0Issues:0

langchain

🦜🔗 Build context-aware reasoning applications

Language:Jupyter NotebookLicense:MITStargazers:92862Issues:0Issues:0

ChatPaper

Use ChatGPT to summarize the arXiv papers. 全流程加速科研,利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复

Language:PythonLicense:NOASSERTIONStargazers:18284Issues:0Issues:0

gradio

Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

Language:PythonLicense:Apache-2.0Stargazers:32417Issues:0Issues:0

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。

Language:PythonLicense:GPL-3.0Stargazers:64366Issues:0Issues:0

latex_paper_writing_tips

Tips for Writing a Research Paper using LaTeX

Language:TeXStargazers:2448Issues:0Issues:0

DiM

Distilling Dataset into Generative Models

Language:PythonStargazers:52Issues:0Issues:0

Co-teaching

NeurIPS'18: Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels

Language:PythonStargazers:486Issues:0Issues:0

seam-carving

A super-fast Python implementation of seam carving algorithm for intelligent image resizing.

Language:PythonLicense:MITStargazers:96Issues:0Issues:0

DREAM

Efficient Dataset Distillation by Representative Matching

Language:PythonStargazers:102Issues:0Issues:0

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)

Language:PythonStargazers:4211Issues:0Issues:0

Efficient-Dataset-Condensation

Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)

Language:PythonLicense:MITStargazers:105Issues:0Issues:0

Awesome-Dataset-Distillation

A curated list of awesome papers on dataset distillation and related applications.

Language:HTMLLicense:MITStargazers:1353Issues:0Issues:0

DatasetCondensation

Dataset Condensation (ICLR21 and ICML21)

Language:PythonLicense:MITStargazers:473Issues:0Issues:0

mtt-distillation

Official code for our CVPR '22 paper "Dataset Distillation by Matching Training Trajectories"

Language:PythonLicense:NOASSERTIONStargazers:390Issues:0Issues:0

loss-landscapes

Approximating neural network loss landscapes in low-dimensional parameter subspaces for PyTorch

Language:PythonLicense:MITStargazers:295Issues:0Issues:0

loss-landscape

Code for visualizing the loss landscape of neural nets

Language:PythonLicense:MITStargazers:2783Issues:0Issues:0

DALI

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

Language:C++License:Apache-2.0Stargazers:5089Issues:0Issues:0

SimKD

[CVPR-2022] Official implementation for "Knowledge Distillation with the Reused Teacher Classifier".

Language:PythonStargazers:90Issues:0Issues:0
Language:PythonLicense:Apache-2.0Stargazers:7Issues:0Issues:0

text-to-image

Generative Adversarial Text to Image Synthesis / Please Star -->

Language:PythonStargazers:598Issues:0Issues:0