Abhishek Tandon's repositories
academic-website
Simple academic website for professional use
blended-diffusion
Official implementation for "Blended Diffusion for Text-driven Editing of Natural Images" [CVPR 2022]
blended-latent-diffusion
Official implementation for "Blended Latent Diffusion" [SIGGRAPH 2023]
CFSM
Controllable and Guided Face Synthesis for Unconstrained Face Recognition (ECCV 2022)
CLIP
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
Collaborative-Diffusion
Collaborative Diffusion (CVPR 2023)
idinvert
[ECCV 2020] In-Domain GAN Inversion for Real Image Editing
malicious-websites-detection
Implementation of `Detecting Malicious Websites by Learning IP Address Features` by Chiba et al. (2012)
visual-chatgpt
Official repo for the paper: Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models
d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
ForeheadCreases
This repo contains the code developed and used for our WACV 2022 paper. Includes the data-collection Android application and the neural network code.
IDiff-Face
Official repository of the paper: IDiff-Face: Synthetic-based Face Recognition through Fizzy Identity-conditioned Diffusion Models (ICCV 2023)
insightface
State-of-the-art 2D and 3D Face Analysis Project
LaTeX-OCR
pix2tex: Using a ViT to convert images of equations into LaTeX code.
Mathematics-for-ML
🧮 A collection of resources to learn mathematics for machine learning
ML-Papers-Explained
Explanation to key concepts in ML
ML-Papers-of-the-Week
🔥Highlighting the top ML papers every week.
ML-YouTube-Courses
📺 Discover the latest machine learning / AI courses on YouTube.
QMagFace
QMagFace: Simple and Accurate Quality-Aware Face Recognition (WACV 2023)
SINE
This respository contains the code for the CVPR 2023 paper SINE: SINgle Image Editing with Text-to-Image Diffusion Models.
udlbook
Understanding Deep Learning - Simon J.D. Prince