Create the srcvideos and faces directories
Put your video files in srcvideos (for the best results the faces within the video should be nicely visible and not too close to the edge)
Check the extract-faces.py script to make sure all parameters are set correctly
Run the script either by opening the Docker devcontainer or by installing all dependencies locally and running the script from the command line
python3 extract-faces.py
Torch-template-for-deep-learning Pytorch implementations of some **classical backbone CNNs, data enhancement, torch loss, attention, visualization and
Zero-Shot Information Extraction as a Unified Text-to-Triple Translation Source code repo for paper Zero-Shot Information Extraction as a Unified Text
SUMO - Slim U-Net trained on MODA Implementation of the SUMO (Slim U-Net trained on MODA) model as described in: TODO: add reference to paper once ava
Keras implementation of Image OutPainting This is an implementation of Painting Outside the Box: Image Outpainting paper from Standford University. So
PGBM Probabilistic Gradient Boosting Machines (PGBM) is a probabilistic gradient boosting framework in Python based on PyTorch/Numba, developed by Air
Fridump Fridump (v0.1) is an open source memory dumping tool, primarily aimed to penetration testers and developers. Fridump is using the Frida framew
leetcode LeetCode Solutions groupped by common patterns YouTube: https://www.youtube.com/c/vladten Telegram: https://t.me/nilinterface Problems source
3D Infomax improves GNNs for Molecular Property Prediction Video | Paper We pre-train GNNs to understand the geometry of molecules given only their 2D
SST: Single-stride Sparse Transformer This is the official implementation of paper: Embracing Single Stride 3D Object Detector with Sparse Transformer
Lex Rosetta: Transfer of Predictive Models Across Languages, Jurisdictions, and Legal Domains This is an accompanying repository to the ICAIL 2021 pap
curriculum A comprehensive and up-to-date developer education platform for Urbit. This project organizes developer capabilities into a hierarchy of co
HomeAssistant Custom Integration for Dyson This custom integration is still under development. This is a HA custom integration for dyson. There are se
Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR
Adversarial Training Against Location-Optimized Adversarial Patches arXiv | Paper | Code | Video | Slides Code for the paper: Sukrut Rao, David Stutz,
Code for Active Learning at The ImageNet Scale. This repository implements many popular active learning algorithms and allows training with torch's DDP.
Synthetic dataset rendering Framework for producing the synthetic datasets used in: How Useful is Self-Supervised Pretraining for Visual Tasks? Alejan
Deep Learning for image classification pip install -r http://webia.lip6.fr/~baskiotisn/requirements-amal.txt Train an autoencoder python3 train_auto
ICE-BeeM: Identifiable Conditional Energy-Based Deep Models Based on Nonlinear ICA This repository contains code to run and reproduce the experiments
ManiSkill Benchmark SAPIEN Manipulation Skill Benchmark (abbreviated as ManiSkill, pronounced as "Many Skill") is a large-scale learning-from-demonstr
FlowTorch is a PyTorch library for learning and sampling from complex probability distributions using a class of methods called Normalizing Flows.
270 Dec 31, 2022
88 Dec 31, 2022
6 Nov 19, 2022
1.1k Dec 10, 2022
112 Dec 28, 2022
551 Jan 07, 2023
158 Dec 29, 2022
95 Dec 30, 2022
385 Dec 28, 2022
4 Dec 16, 2021
36 Oct 04, 2022
232 Dec 31, 2022
2k Dec 31, 2022
32 Dec 13, 2022
47 Dec 12, 2022
21 Apr 29, 2022
0 Mar 30, 2022
65 Dec 22, 2022
107 Jan 08, 2023
272 Jan 02, 2023