brucemuller
Mathematics graduate converted to Computer Vision. Semantic Segmentation. Visual Odometry. Open to remote work opportunities.
University of YorkYork, England
brucemuller's Stars
pytorch/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
chenfei-wu/TaskMatrix
google-research/google-research
Google Research
Lightning-AI/pytorch-lightning
Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
fastai/fastai
The fastai deep learning library
NVIDIA/apex
A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
allegroai/clearml
ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution
CSAILVision/semantic-segmentation-pytorch
Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset
dsgiitr/d2l-pytorch
This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.
meetps/pytorch-semseg
Semantic Segmentation Architectures Implemented in PyTorch
zhanghang1989/PyTorch-Encoding
A CV toolkit for my papers.
rpautrat/SuperPoint
Efficient neural feature detector and descriptor
waleedka/hiddenlayer
Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.
mapillary/inplace_abn
In-Place Activated BatchNorm for Memory-Optimized Training of DNNs
clcarwin/focal_loss_pytorch
A PyTorch Implementation of Focal Loss.
WarBean/tps_stn_pytorch
PyTorch implementation of Spatial Transformer Network (STN) with Thin Plate Spline (TPS)
fxia22/stn.pytorch
pytorch version of spatial transformer networks
locuslab/SATNet
Bridging deep learning and logical reasoning using a differentiable satisfiability solver.
vislearn/ngransac
Neural-Guided RANSAC for Estimating Epipolar Geometry from Sparse Correspondences
Spandan-Madan/A-Collection-of-important-tasks-in-pytorch
Everyday things people use in Pytorch. No need to spend hours reading Pytorch forums trying to find them!
tynguyen/unsupervisedDeepHomographyRAL2018
Unsupervised Deep Homography: A Fast and Robust Homography Estimation Model
ignacio-rocco/cnngeometric_pytorch
CNNGeometric PyTorch implementation
yanx27/3DGNN_pytorch
3D Graph Neural Networks for RGBD Semantic Segmentation
hav4ik/Hydra
Multi-Task Learning Framework on PyTorch. State-of-the-art methods are implemented to effectively train models on multiple tasks.
elnino9ykl/PASS
Panoramic Annular Semantic Segmentation
kamenbliznashki/spatial_transformer
Pytorch reimplementation of Spatial Transformer Networks and Inverse Compositional STN
ThomIves/MatrixInverse
Python Code to Efficiently Inverse a Matrix
ilkedemir/SkelNetOn
The repo for the website and scripts of the Workshop on Deep Learning for Geometric Shape Understanding at CVPR 2019.
brucemuller/HierarchicalLosses
Train Faster and Boost Performance with Class Hierarchies. Build Robust Representations Less Prone to Serious Classification Errors. - PyTorch code for paper: "A Hierarchical Loss for Semantic Segmentation" VISAPP/VISIGRAPP 2020
rhythm92/CNN3D_Medical
3D Convolutional neural network for medical image segmentation