Mitterrand Ekole's repositories
slam_with_vit
Visual SLAM for Mobile Robots with Vision Transformer(ViT)
py_orb_slam
ORBSLAM-Algorithm Endoscope Tracking and 3D Reconstruction
optim-control
Particle Swarm Optimization, Grey Wolf Optimizer and Genetic Algorithm Optimizers for Controller Tuning and Optimization.
proto.landmark
proto.face.landmark detection model
annotated_research_papers
This repo contains annotated research papers that I found really good and useful
Awesome-Profile-README-templates
A collection of awesome readme templates to display on your profile
detr
End-to-End Object Detection with Transformers
diffusers
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch
dust3r
Geometric 3D Vision Made Easy
g2o
g2o: A General Framework for Graph Optimization
gemma
Open weights LLM from Google DeepMind.
gemma_pytorch
The official PyTorch implementation of Google's Gemma models
giskard
🐢 The testing framework for ML models, from tabular to LLMs
liquid_time_constant_networks
Code Repository for Liquid Time-Constant Networks (LTCs)
llama
Inference code for Llama models
LLFF
Code release for Local Light Field Fusion at SIGGRAPH 2019
machine-learning-notes
Collection of useful machine learning codes and snippets (originally intended for my personal use)
micro-bundle-adjustment
A minimal PyTorch implementation of Bundle Adjustment
micro_force
Scripts for micro-force measurement in diamagnetic levitation using extended kalman filter and Optimal PID control
MLQuestions
Machine Learning and Computer Vision Engineer - Technical Interview Questions
MonoGS
[CVPR'24 Highlight] Gaussian Splatting SLAM
nanomesh
Python workflow tool for generating meshes from 2D and 3D image data
nerf
Code release for NeRF (Neural Radiance Fields)
ORB_SLAM3
ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM
SfmLearner-Pytorch
Pytorch version of SfmLearner from Tinghui Zhou et al.
VoxelNeXt
VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking (CVPR 2023)