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
davidsandberg/facenet
Face recognition using Tensorflow
pkorus/neural-imaging
[CVPR'19, ICLR'20] A Python toolbox for modeling and optimization of photo acquisition & distribution pipelines (camera ISP, compression, forensics, manipulation detection)
whai362/PSENet
Official Pytorch implementations of PSENet.
mwdhont/SimCLRv1-keras-tensorflow
Tensorflow-Keras implementation of SimCLR: Simple Framework for Contrastive Learning of Visual Representations by Chen et al. (2020)
tensorflow/models
Models and examples built with TensorFlow
YunYang1994/TensorFlow2.0-Examples
🙄 Difficult algorithm, Simple code.
neverUseThisName/Decorrelated-Adversarial-Learning
This is an unofficial implementation for the 2019 ICCV paper 'Decorrelated Adversarial Learning for Age-Invariant Face Recognition' from Tencent AI Lab
592McAvoy/fake-face-detection
some collected paper and personal notes relevant to Fake Face Detetection
jasonwu0731/ToD-BERT
Pre-Trained Models for ToD-BERT
AakashKumarNain/annotated_research_papers
This repo contains annotated research papers that I found really good and useful
Ghirensics/ghiro
Automated image forensics tool
redaelli/imago-forensics
Imago is a python tool that extract digital evidences from images.
HXM14/Image-Forgery-Detection-using-Deep-learning
Image Forgery Detection using Deep learning Graduation project
kPsarakis/Image-Forgery-Detection-CNN
Image forgery detection using convolutional neural networks. Group 10's final project for TU Delft's course CS4180 Deep Learning 2019.
wayou/t-rex-runner
the t-rex runner game extracted from chromium
brylevkirill/notes
Learn about Machine Learning and Artificial Intelligence
nplan-io/kdd2020-calibration
How to calibrate your neural network classifier: Getting accurate probabilities from a classification model
the-deep-learners/deep-learning-illustrated
Deep Learning Illustrated (2020)
wenqifan03/GraphRec-WWW19
Graph Neural Networks for Social Recommendation, WWW'19
springer-math/dynamical-systems-with-applications-using-python
Source code for 'Dynamical Systems with Applications Using Python' by Stephen Lynch
XingangPan/SCNN
Spatial CNN for traffic lane detection (AAAI2018)
Pierian-Data/Plotly-Dashboards-with-Dash
This is the repo for the Udemy Course Python Dashboards with Plotly's Dash
craffel/dl3d-seminar
Course webpage for COMP 790, (Deep) Learning from Limited Labeled Data
floodsung/Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
ardaegeunlu/Non-Stochastic-Bandit-Slate-Algorithms
Implementations of the bandit algorithms with unordered and ordered slates that are described in the paper "Non-Stochastic Bandit Slate Problems", by Kale et al. 2010.
ardaegeunlu/X-armed-Bandits
Implementation of the X-armed Bandits algorithm, as detailed in the paper, "X-armed Bandits", Bubeck et al., 2011.
ardaegeunlu/Contextual-Gaussian-Process-Bandit-Optimization
Simple implementation of the CGP-UCB algorithm.
ardaegeunlu/Explore-Exploit-in-Top-N-Recommender-Systems-via-Gaussian-Processes
MATLAB Implementation of the CGPRANK algorithm
christophM/interpretable-ml-book
Book about interpretable machine learning
fastai/numerical-linear-algebra
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course