A PyTorch Library for Accelerating 3D Deep Learning Research

Pytorch implementation of "Deep Learning Hierarchical Representations for Image Steganalysis"

Nvdiffrast - Modular Primitives for High-Performance Differentiable Rendering

Tensorflow implementation of "Deep Learning Hierarchical Representation for Image Steganalysis"

No description provided.

Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"

NVIDIA Kaolin Wisp is a PyTorch library powered by NVIDIA Kaolin Core to work with neural fields (including NeRFs, NGLOD, instant-ngp and VQAD).

The website for PyTorch

Build a Jekyll blog in minutes, without touching the command line.

Tensors and Dynamic neural networks in Python with strong GPU acceleration

List of all the bullshit in Machine Learning publications

Convolutional Neural Network for 3D meshes in PyTorch

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

An Open Source Machine Learning Framework for Everyone

PyTorch3D is FAIR's library of reusable components for deep learning with 3D data

Official code for the paper "InGAN: Capturing and Retargeting the DNA of a Natural Image"

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Open deep learning compiler stack for cpu, gpu and specialized accelerators

NLP made easy

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

ONNX-TensorRT: TensorRT backend for ONNX

Open Neural Network Exchange

Lifelong repository following my personal C++ exploration and training

Matrix Shadow:Lightweight CPU/GPU Matrix and Tensor Template Library in C++/CUDA for (Deep) Machine Learning

Robotik website

Caffe: a fast open framework for deep learning.

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