Stars
Code for Scaling Language-Free Visual Representation Learning (WebSSL)
A Python CLI tool to convert PowerPoint (PPT/PPTX) files to Adobe PDF
Continuous Integration for LLM powered applications
TLDR is an unsupervised dimensionality reduction method that combines neighborhood embedding learning with the simplicity and effectiveness of recent self-supervised learning losses
12000+ manually drawn pixel-level lung segmentations, with and without covid
CNN Image Retrieval in MatConvNet: Training and evaluating CNNs for Image Retrieval in MatConvNet
Library and commandline tool for managing datasets on darwin.v7labs.com
🌁 Image retrieval using deep learning of global descriptors.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
CNN Image Retrieval in PyTorch: Training and evaluating CNNs for Image Retrieval in PyTorch
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking
Semantic Segmentation Architectures Implemented in PyTorch
This is the implementation of the paper "Gated Recurrent Convolution Neural Network for OCR"
Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
Tensorflow Faster RCNN for Object Detection
Fully Convolutional Instance-aware Semantic Segmentation
R-FCN: Object Detection via Region-based Fully Convolutional Networks
Instance-aware Semantic Segmentation via Multi-task Network Cascades
R-FCN with joint training and python support
Example code from my PyCon APAC 2012 talk.