Wenqi Li

AI Toolkit for Healthcare Imaging

An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy

practice of newton like methods (with some julia experience)

A framework for implementing federated learning

MONAI Tutorials

A registry of publicly available datasets on AWS

No description.

Open Source Differentiable Computer Vision Library for PyTorch

Neuroimaging in PyTorch

Fork of Alex Krizhevsky's cuda-convnet. Adds dropout.

Computation using data flow graphs for scalable machine learning

Brain tumor segmentation for MICCAI 2017 BraTS challenge

AI agent skills published by NVIDIA

No description.

Central repository for Holoscan Reference Applications

Get up and running with Llama 3.3, DeepSeek-R1, Phi-4, Gemma 3, and other large language models.

🦜🔗 Build context-aware reasoning applications

[MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration

Tensors and Dynamic neural networks in Python with strong GPU acceleration

OHIF zero-footprint DICOM viewer and oncology specific Lesion Tracker, plus shared extension packages

Implementations of recent research prototypes/demonstrations using MONAI.

No description.

MONAI Label (Development in Progress)

NVIDIA Federated Learning Application Runtime Environment

MONAI Model Zoo that hosts models in the MONAI Bundle format.

NumPy & SciPy for GPU

Docker images and github actions for building packages containing PyTorch C++/CUDA extensions.

A conda-smithy repository for monai.

Insight Toolkit (ITK) -- Official Repository. ITK builds on a proven, spatially-oriented architecture for processing, segmentation, and registration of scientific images in two, three, or more dimensions.

Experimenting with Benford's Law

Practice codes for Stanford Machine Learning online course

Client side integration example source code and libraries for AI-Assisted Annotation SDK

ubuntu 14 server

A tutorial of the re-factored label-driven registration code, based on "Weakly-supervised convolutional neural networks for multimodal image registration"

Tensorflow implementation of CycleGANs

Example project that shows hybrid programming with C++ and Python (incl. NumPy and SciPy).

TensorFlow-based neural network library

A python (numpy based) implementation of the original permutohedral lattice filtering code

Command line utilities for data analysis

Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow

Slides and supplementary codes for my talk 'Debugging Tips on Tensorflow' (2016)

A technical report on convolution arithmetic in the context of deep learning

Only testing mirroring

Deep Learning framework for Julia

loading files, transform and save into consistent format.

No description.

Simple Python script to compute Selective Search proposals in Matlab.

Caffe: a fast open framework for deep learning.

No description.

texture analysis

The Julia Language: A fresh approach to technical computing.

linear classification models

No description.