Adel Bennaceur's repositories
self-driving-car-simulation
Behavioral cloning: end-to-end learning for self-driving cars.
AS-One
Easy & Modular Computer Vision Detectors and Trackers - Run YOLOv8,v7,v6,v5,R,X in under 20 lines of code.
ATISS
Code for "ATISS: Autoregressive Transformers for Indoor Scene Synthesis", NeurIPS 2021
cilantro
A lean C++ library for working with point cloud data
CLIP
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
ComfyUI
The most powerful and modular stable diffusion GUI with a graph/nodes interface.
ComputeLibrary
The Compute Library is a set of computer vision and machine learning functions optimised for both Arm CPUs and GPUs using SIMD technologies.
Cutie
[arXiv 2023] Putting the Object Back Into Video Object Segmentation
d2-net
D2-Net: A Trainable CNN for Joint Description and Detection of Local Features
ControlNet
Let us control diffusion models!
diffusionerf
[CVPR 2023] DiffusioNeRF: Regularizing Neural Radiance Fields with Denoising Diffusion Models
DPIR
Differentiable Point-based Inverse Rendering
esvit
EsViT: Efficient self-supervised Vision Transformers
faiss
A library for efficient similarity search and clustering of dense vectors.
ivy
The Unified Machine Learning Framework
kaolin
A PyTorch Library for Accelerating 3D Deep Learning Research
kitti_object_vis
KITTI Object Visualization (Birdview, Volumetric LiDar point cloud )
LaTeX-OCR
pix2tex: Using a ViT to convert images of equations into LaTeX code.
manydepth
[CVPR 2021] Self-supervised depth estimation from short sequences
nebullvm
Plug and play modules to optimize the performances of your AI systems 🚀
NeRF-SLAM
NeRF-SLAM: Real-Time Dense Monocular SLAM with Neural Radiance Fields. https://arxiv.org/abs/2210.13641 + Sigma-Fusion: Probabilistic Volumetric Fusion for Dense Monocular SLAM https://arxiv.org/abs/2210.01276
omni3d
Code release for "Omni3D A Large Benchmark and Model for 3D Object Detection in the Wild"
pyslam
pySLAM contains a monocular Visual Odometry (VO) pipeline in Python. It supports many modern local features based on Deep Learning.
RayDiffusion
Code for "Cameras as Rays"
rpg_e2depth
Code for Learning Monocular Dense Depth from Events paper (3DV20)
stable-diffusion
A latent text-to-image diffusion model
torch-ngp
A pytorch CUDA extension implementation of instant-ngp (sdf and nerf), with a GUI.
visualkeras
Visualkeras is a Python package to help visualize Keras (either standalone or included in TensorFlow) neural network architectures. It allows easy styling to fit most needs. This module supports layered style architecture generation which is great for CNNs (Convolutional Neural Networks), and a graph style architecture, which works great for most models including plain feed-forward networks.
Zooming-Slow-Mo-CVPR-2020
Fast and Accurate One-Stage Space-Time Video Super-Resolution (accepted in CVPR 2020)