leopoldmaillard's Stars
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
dibgerge/ml-coursera-python-assignments
Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.
cleardusk/3DDFA_V2
The official PyTorch implementation of Towards Fast, Accurate and Stable 3D Dense Face Alignment, ECCV 2020.
XifengGuo/CapsNet-Keras
A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now test error = 0.34%.
microsoft/Deep3DFaceReconstruction
Accurate 3D Face Reconstruction with Weakly-Supervised Learning: From Single Image to Image Set (CVPRW 2019)
rois-codh/kmnist
Repository for Kuzushiji-MNIST, Kuzushiji-49, and Kuzushiji-Kanji
yinguobing/cnn-facial-landmark
Training code for facial landmark detection based on deep convolutional neural network.
torralba-lab/im2recipe
Code supporting the CVPR 2017 paper "Learning Cross-modal Embeddings for Cooking Recipes and Food Images"
naturomics/CapsLayer
CapsLayer: An advanced library for capsule theory
1996scarlet/Dense-Head-Pose-Estimation
[ECCV 2020] Reimplementation of 3DDFAv2, including face mesh, head pose, landmarks, and more.
EscVM/Efficient-CapsNet
Official TensorFlow code for the paper "Efficient-CapsNet: Capsule Network with Self-Attention Routing".
yinguobing/facial-landmark-detection-hrnet
A TensorFlow implementation of HRNet for facial landmark detection.
0411tony/Yue
A python library for music recommendation
AlexGraikos/food_volume_estimation
Using deep learning to estimate food volume from an input image.
Liang-yc/CalorieEstimation
This project is used for estimating calories.
nymanjens/gedit-intelligent-text-completion
Makes your Gedit life more comfortable
WhiteXiezx/Food-Volume-Estimation
SJTU-CS386 Digital Image Processing Course Project
chihfanhsu/fl_detection
Facial landmarks detection
MUSEFood/MUSEFood
statbiophys/NoisET
NoisET is an easy-to-use python package that implements and generalizes a previously developed Bayesian method in [Puelma Touzel et al, 2020] ). It can be used to learn experimental noise models for repertoire sequencing from replicates, and to detect responding clones following a stimulus.
Fouad99/Generateur
Generateur de fichier txt TP3