Pinned Repositories
awesome-audio-visual
A curated list of different papers and datasets in various areas of audio-visual processing
Awesome-Knowledge-Distillation
Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。
CNN-Learns-Without-Boundaries
Do cnn requires edes/boundaries/pixelvariation to learn? Can CNNs learn without explicit pixel variation(information not explicilty represented by pixels in an image)
conv_arithmetic
A technical report on convolution arithmetic in the context of deep learning
DTFAT
DTFAT code and pre-trained weights
MADGRAD-Segmentation-Pytorch-Performance
Compare the performance of MADGRAD against Adam and SGD for segmentation model training.
MaxAST
MaxAST code
ML-From-Scratch
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.
overhaul-distillation
Official PyTorch implementation of "A Comprehensive Overhaul of Feature Distillation" (ICCV 2019)
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
ta012's Repositories
ta012/MaxAST
MaxAST code
ta012/DTFAT
DTFAT code and pre-trained weights
ta012/MADGRAD-Segmentation-Pytorch-Performance
Compare the performance of MADGRAD against Adam and SGD for segmentation model training.
ta012/awesome-audio-visual
A curated list of different papers and datasets in various areas of audio-visual processing
ta012/Awesome-Knowledge-Distillation
Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。
ta012/CNN-Learns-Without-Boundaries
Do cnn requires edes/boundaries/pixelvariation to learn? Can CNNs learn without explicit pixel variation(information not explicilty represented by pixels in an image)
ta012/conv_arithmetic
A technical report on convolution arithmetic in the context of deep learning
ta012/ML-From-Scratch
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.
ta012/overhaul-distillation
Official PyTorch implementation of "A Comprehensive Overhaul of Feature Distillation" (ICCV 2019)
ta012/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
ta012/PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
ta012/pytorch-original-transformer
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.
ta012/pytorch-semantic-segmentation
PyTorch for Semantic Segmentation
ta012/pytorch-ssd
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.
ta012/pytorch-unet
Simple PyTorch implementations of U-Net/FullyConvNet (FCN) for image segmentation
ta012/ReflectNet
Source code and the model for ReflectNet: Separating Reflection and Transmission Images in the Wild, ECCV 2018
ta012/RepDistiller
[ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods
ta012/SemCKD
This is the official implementation for the AAAI-2021 paper (Cross-Layer Distillation with Semantic Calibration).
ta012/sound_ai_progress
Tracking states of the arts and recent results (bibliography) on sound tasks.
ta012/squeezenas