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Name: Tony
Type: User
Name: Tony
Type: User
A curated list of different papers and datasets in various areas of audio-visual processing
Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。
Do cnn requires edes/boundaries/pixelvariation to learn? Can CNNs learn without explicit pixel variation(information not explicilty represented by pixels in an image)
A technical report on convolution arithmetic in the context of deep learning
DTFAT code and pre-trained weights
Compare the performance of MADGRAD against Adam and SGD for segmentation model training.
MaxAST code
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
Official PyTorch implementation of "A Comprehensive Overhaul of Feature Distillation" (ICCV 2019)
Tensors and Dynamic neural networks in Python with strong GPU acceleration
PyTorch implementations of Generative Adversarial Networks.
My implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing otherwise seemingly hard concepts. Currently included IWSLT pretrained models.
PyTorch for Semantic Segmentation
MobileNetV1, MobileNetV2, VGG based SSD/SSD-lite implementation in Pytorch 1.0 / Pytorch 0.4. Out-of-box support for retraining on Open Images dataset. ONNX and Caffe2 support. Experiment Ideas like CoordConv.
Simple PyTorch implementations of U-Net/FullyConvNet (FCN) for image segmentation
Source code and the model for ReflectNet: Separating Reflection and Transmission Images in the Wild, ECCV 2018
[ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods
This is the official implementation for the AAAI-2021 paper (Cross-Layer Distillation with Semantic Calibration).
Tracking states of the arts and recent results (bibliography) on sound tasks.
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.