ChewKokWah's repositories
A-Light-and-Fast-Face-Detector-for-Edge-Devices
A light and fast one class detection framework for edge devices. We provide face detector, head detector, pedestrian detector, vehicle detector......
acl2020-openqa-tutorial
ACL2020 Tutorial: Open-Domain Question Answering
AI2-Reasoning-Challenge-ARC
Source code for the AI2 Reasoning Challenge (ARC) submission.
BotSlayer-CE
BotSlayer Community Edition
C-MS-Celeb
A clean version (wash list) of MS-Celeb-1M face dataset, containing 6,464,018 face images of 94,682 celebrities
DataMine
DataMine is a collection of datasets ready to be used for machine learning applications and not only.
datasets
🤗 Fast, efficient, open-access datasets and evaluation metrics in PyTorch, TensorFlow, NumPy and Pandas
DRCD
A 30000+ Chinese MRC dataset - Delta Reading Comprehension Dataset
DSFD-Pytorch-Inference
A High-Performance Pytorch Implementation of face detection models, including RetinaFace and DSFD
efficient-attention
An implementation of the efficient attention module.
FaceDetection-DSFD
腾讯优图高精度双分支人脸检测器
facenet
Face recognition using Tensorflow
facenet-pytorch
Pretrained Pytorch face detection (MTCNN) and recognition (InceptionResnet) models
fastbook
Draft of the fastai book
FlexNeuART
Flexible classic and NeurAl Retrieval Toolkit
FrameworkBenchmarks
Source for the TechEmpower Framework Benchmarks project
google-research
Google Research
hopfield-layers
Hopfield Networks is All You Need
insightface
Face Analysis Project on MXNet
layer-to-layer-pytorch
PyTorch implementation of L2L execution algorithm
MobileFace
A face recognition solution on mobile device.
MSMARCO-Question-Answering
MS MARCO(Microsoft Machine Reading Comprehension) is a large scale dataset focused on machine reading comprehension and question answering
natural-question-answering
DeepThought's solution
Nested-Pie-Chart
Nested Pie Chart in MatPlotLib for your dataset
Pytorch_Retinaface
Retinaface get 80.99% in widerface hard val using mobilenet0.25.
retinaface-tf2
RetinaFace (Single-stage Dense Face Localisation in the Wild, 2019) implemented (ResNet50, MobileNetV2 trained on single GPU) in Tensorflow 2.0+. This is an unofficial implementation. With Colab.
simclr
SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
testdata
Test inputs for the EfficientQA task.
transformers
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX.
unifiedqa
UnifiedQA: Crossing Format Boundaries With a Single QA System