visenzeadam

Pinned Repositories

AutoAugment
Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow
Language:Jupyter Notebook00
awesome_OpenSetRecognition_list
A curated list of papers & resources linked to open set recognition, out-of-distribution, open set domain adaptation and open world recognition
00
Background-Matting
Background Matting: The World is Your Green Screen
Language:Python0 0 00
BackgroundMattingV2
Real-Time High-Resolution Background Matting
Language:Python00
beyond-part-models
PCB of paper: Beyond Part Models: Person Retrieval with Refined Part Pooling, using Pytorch
Language:Python10
cyvlfeat
A thin Cython wrapper around select areas of vlfeat
Language:Python0 0 00
dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Language:Python00
dlrm
An implementation of a deep learning recommendation model (DLRM)
Language:Python00
EfficientNet-PyTorch
A PyTorch implementation of EfficientNet
Language:Python00

visenzeadam's Repositories

visenzeadam/beyond-part-models
PCB of paper: Beyond Part Models: Person Retrieval with Refined Part Pooling, using Pytorch
Language:Python10
visenzeadam/AutoAugment
Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow
Language:Jupyter Notebook00
visenzeadam/awesome_OpenSetRecognition_list
A curated list of papers & resources linked to open set recognition, out-of-distribution, open set domain adaptation and open world recognition
00
visenzeadam/Background-Matting
Background Matting: The World is Your Green Screen
Language:Python0 0 00
visenzeadam/BackgroundMattingV2
Real-Time High-Resolution Background Matting
Language:Python00
visenzeadam/cyvlfeat
A thin Cython wrapper around select areas of vlfeat
Language:Python0 0 00
visenzeadam/dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Language:Python00
visenzeadam/dlrm
An implementation of a deep learning recommendation model (DLRM)
Language:Python00
visenzeadam/EfficientNet-PyTorch
A PyTorch implementation of EfficientNet
Language:Python00
visenzeadam/faiss
A library for efficient similarity search and clustering of dense vectors.
Language:C++
visenzeadam/gen-efficientnet-pytorch
Pretrained EfficientNet, MixNet, MobileNetV3, MNASNet A1 and B1, FBNet, Single-Path NAS
visenzeadam/ICCV2019-Horde
Code repository for our paper entilted "Metric Learning with HORDE: High-Order Regularizer for Deep Embeddings" accepted at ICCV 2019.
visenzeadam/kmcuda
Large scale K-means and K-nn implementation on NVIDIA GPU / CUDA
Language:Jupyter Notebook
visenzeadam/libfaceid
libfaceid is a research framework for fast prototyping of face recognition solutions. It seamlessly integrates multiple face detection, face recognition and liveness detection models. It also includes face landmark detection, age detection, gender detection, emotion detection, wakeword/triggerword/hotword detection and text-to-speech synthesis for voice capability).
Language:Python
visenzeadam/metric-learning-divide-and-conquer
Source code for the paper "Divide and Conquer the Embedding Space for Metric Learning", CVPR 2019
Language:Python
visenzeadam/missinglink-pytorch-tutorial1
Integrating MissingLink with PyTorch tutorial
Language:Python0 03
visenzeadam/mmdetection
Open MMLab Detection Toolbox with PyTorch
Language:Python
visenzeadam/mmfashion
Open-source toolbox for visual fashion analysis based on PyTorch
Language:Python0 0
visenzeadam/MNN
MNN is a lightweight deep neural network inference engine.
visenzeadam/OpenLongTailRecognition-OLTR
Pytorch implementation for "Large-Scale Long-Tailed Recognition in an Open World" (CVPR 2019 ORAL)
Language:Python
visenzeadam/person-reid-triplet-loss-baseline
Rank-1 89% (Single Query) on Market1501 with raw triplet loss, In Defense of the Triplet Loss for Person Re-Identification, using Pytorch
Language:Python
visenzeadam/pycls
Codebase for Image Classification Research, written in PyTorch.
Language:Python0 0
visenzeadam/PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
Language:Python
visenzeadam/pytorch-sgns
Skipgram Negative Sampling in PyTorch
visenzeadam/recommenders
Best Practices on Recommendation Systems
visenzeadam/RepDistiller
Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods
1
visenzeadam/semseg
Semantic Segmentation in Pytorch
visenzeadam/serve
Model Serving on PyTorch
visenzeadam/SR-GNN
Source code and datasets for the paper "Session-based Recommendation with Graph Neural Networks" (AAAI-19)
visenzeadam/tutorials
Tutorials for using ONNX
Language:Jupyter Notebook