lilujunai Goto Github PK
Name: IronMan
Type: User
Bio: I am Iron Man.
Name: IronMan
Type: User
Bio: I am Iron Man.
PyTorch Implementation of CVPR'19 (oral) - Mitigating Information Leakage in Image Representations: A Maximum Entropy Approach
Multi-view contrastive learning for online knowledge distillation (MCL-OKD)
Multinomial Distribution Learning for Effective Neural Architecture Search
[NeurIPS'20] Multiscale Deep Equilibrium Models
Memory Networks implementations
Code for reproducing work of ICML 2019 paper: Memory-Optimal Direct Convolutions for Maximizing Classification Accuracy in Embedded Applications
NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).
Official PyTorch implementation of "Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets" (ICLR 2021)
Codes for Accepted Paper : "MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization" in NeurIPS 2019
Implementation of CVPR 2019 paper "Mfas: Multimodal fusion architecture search"
Matching Guided Distillation (ECCV 2020)
MiLeNAS: Efficient Neural Architecture Search via Mixed-Level Reformulation. Published in CVPR 2020
MINE: Mutual Information Neural Estimation in pytorch
A wrapper of argparse which I can remember the APIs.
code for minimax curriculum learning
Implementing MixNet: Mixed Depthwise Convolutional Kernels using Pytorch
Code for "MixMatch - A Holistic Approach to Semi-Supervised Learning"
Pytorch Implementation of the paper MixMatch: A Holistic Approach to Semi-Supervised Learning (https://arxiv.org/pdf/1905.02249.pdf)
A PyTorch implementation of MixNet: Mixed Depthwise Convolutional Kernels
A PyTorch Implementation of MixNet
Pytorch implementation of MixNMatch
mixup: Beyond Empirical Risk Minimization
this implements a search agent that uses MLP to predict the top candidates for searching over NASBench-101
An official PyTorch implementation of “Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation” (NeurIPS 2019) by Risto Vuorio*, Shao-Hua Sun*, Hexiang Hu, and Joseph J. Lim
Open MMLab Computer Vision Foundation
Open MMLab Detection Toolbox and Benchmark
This is a knowledge distillation toolbox based on mmdetection.
This is a knowledge distillation toolbox based on mmsegmentation.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.