ilyanelken
B.Sc. in Computer Engineering from the Technion, M.Sc. in Electrical Engineering from Tel-Aviv University, in the field of Computer Vision and Deep Learning.
ilyanelken's Stars
hhj1897/face_pose_augmentation
Ascend-Research/HeadPoseEstimation-WHENet
Jiahao-UTS/SLPT-master
snap-research/HyperHuman
[ICLR 2024] Github Repo for "HyperHuman: Hyper-Realistic Human Generation with Latent Structural Diffusion"
open-mmlab/mmdetection
OpenMMLab Detection Toolbox and Benchmark
zurutech/pillow-resize
Porting of Pillow resize method in C++ and OpenCV.
facebookresearch/hiera
Hiera: A fast, powerful, and simple hierarchical vision transformer.
IDEA-Research/GroundingDINO
[ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"
mlfoundations/open_clip
An open source implementation of CLIP.
visual-layer/fastdup
fastdup is a powerful, free tool designed to rapidly generate valuable insights from image and video datasets. It helps enhance the quality of both images and labels, while significantly reducing data operation costs, all with unmatched scalability.
facebookresearch/dinov2
PyTorch code and models for the DINOv2 self-supervised learning method.
facebookresearch/segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Data-Heroes/dataheroes
Public repository holding examples for dataheroes library
voxel51/fiftyone
Refine high-quality datasets and visual AI models
facebookresearch/denoiser
Real Time Speech Enhancement in the Waveform Domain (Interspeech 2020)We provide a PyTorch implementation of the paper Real Time Speech Enhancement in the Waveform Domain. In which, we present a causal speech enhancement model working on the raw waveform that runs in real-time on a laptop CPU. The proposed model is based on an encoder-decoder architecture with skip-connections. It is optimized on both time and frequency domains, using multiple loss functions. Empirical evidence shows that it is capable of removing various kinds of background noise including stationary and non-stationary noises, as well as room reverb. Additionally, we suggest a set of data augmentation techniques applied directly on the raw waveform which further improve model performance and its generalization abilities.
lab-gpu/centernet-FPN
This is an repository attached with FPN(just with FPN)
cabani/MaskedFace-Net
MaskedFace-Net is a dataset of human faces with a correctly and incorrectly worn mask based on the dataset Flickr-Faces-HQ (FFHQ).
yqyao/FCOS_PLUS
Some improvements (center sample) about FCOS (FCOS: Fully Convolutional One-Stage Object Detection).
damo-cv/MogFace
An official code for MogFace
ultralytics/yolov5
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
Megvii-BaseDetection/YOLOX
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
jesseduffield/lazygit
simple terminal UI for git commands
perymimon/max-trees-measurements
Side POC Project
YonghaoHe/LFD-A-Light-and-Fast-Detector
LFD is a big update upon LFFD. Generally, LFD is a multi-class object detector characterized by lightweight, low inference latency and superior precision. It is for real-world appilcations.
Ximilar-com/xcenternet
Fast anchor free Object Detection based on CenterNet (Objects As Points) and TTFNet (Training-Time-Friendly Network). Implemented in TensorFlow 2.4+.
princeton-vl/CornerNet
Tencent/MedicalNet
Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project provides a series of 3D-ResNet pre-trained models and relative code.
SimpleITK/SPIE2019_COURSE
matthew-brett/transforms3d
3 dimensional spatial transformations
awesome-NeRF/awesome-NeRF
A curated list of awesome neural radiance fields papers