silpara
Work: AI, ML, DL, Statistics. Life: Reading, Listening, Running. Blog: silpara.medium.com
Meesho, Airtel X Labs, Swiggy, [24]7.ai
silpara's Stars
OATML/non-parametric-transformers
Code for "Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep Learning"
ZhendongWang6/Uformer
[CVPR 2022] Official implementation of the paper "Uformer: A General U-Shaped Transformer for Image Restoration".
loft-br/xgboost-survival-embeddings
Improving XGBoost survival analysis with embeddings and debiased estimators
allenai/naacl2021-longdoc-tutorial
StatProofBook/StatProofBook.github.io
The Book of Statistical Proofs
facebookresearch/PyTorch-BigGraph
Generate embeddings from large-scale graph-structured data.
Accenture/AmpliGraph
Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org
JunwenBai/DAPC
Deep Autoencoding Predictive Components
palash1992/GEM
georgezoto/TensorFlow-in-Practice
TensorFlow in Practice Specialization. Join our Deep Learning Adventures community 🎉 and become an expert in Deep Learning, TensorFlow, Computer Vision, Convolutional Neural Networks, Kaggle Challenges, Data Augmentation and Dropouts Transfer Learning, Multiclass Classifications and Overfitting and Natural Language Processing NLP as well as Time Series Forecasting 😀 All while having fun learning and participating in our Deep Learning Trivia games 🎉 http://bit.ly/deep-learning-tf
CyberZHG/keras-drop-block
DropBlock implemented in Keras
lightly-ai/lightly
A python library for self-supervised learning on images.
dvgodoy/dl-visuals
Over 200 figures and diagrams of the most popular deep learning architectures and layers FREE TO USE in your blog posts, slides, presentations, or papers.
GuidoBartoli/sherloq
An open-source digital image forensic toolset
francescotescari/noiseprint2
noiseprint2 is a porting of noiseprint to tensorflow 2 and keras
nii-yamagishilab/Capsule-Forensics-v2
Implementation of the Capsule-Forensics-v2
RUB-SysSec/GANDCTAnalysis
Code for the ICML 2020 paper: Leveraging Frequency Analysis for Deep Fake Image Recognition.
FrancescoMarra/E2E-ForgeryDetection
Code for "A Full-Image Full-Resolution End-to-End-Trainable CNN Framework for Image Forgery Detection"
sayakpaul/SimCLR-in-TensorFlow-2
(Minimally) implements SimCLR (https://arxiv.org/abs/2002.05709) in TensorFlow 2.
yueyu1030/COSINE
[NAACL 2021] This is the code for our paper `Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach'.
YingtongDou/CARE-GNN
Code for CIKM 2020 paper Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters
sayakpaul/Supervised-Contrastive-Learning-in-TensorFlow-2
Implements the ideas presented in https://arxiv.org/pdf/2004.11362v1.pdf by Khosla et al.
ahmedfgad/Mask-RCNN-TF2
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow 2.0
BindiChen/machine-learning
Practical Full-Stack Machine Learning
TessFerrandez/research-papers
sol0invictus/Blog_stuff
Blog and webpagge
ariG23498/G-SimCLR
This is the code base for paper "G-SimCLR : Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling" by Souradip Chakraborty, Aritra Roy Gosthipaty and Sayak Paul.
Skuldur/facenet-face-recognition
A face recognition demo performed by feeding images of faces recorded by a webcam into a trained FaceNet network to determine the identity of the face
R4j4n/Face-recognition-Using-Facenet-On-Tensorflow-2.X
nyoki-mtl/keras-facenet
Facenet implementation by Keras2