Francisco Massa

OptNet - Reducing memory usage in torch neural nets

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Datasets, Transforms and Models specific to Computer Vision

Find usage statistics (imports, function calls, attribute access) for Python code-bases

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This is a repository for all workshop related materials.

Datasets, Transforms and Models specific to Computer Vision

Aditional functionnalities for torch7 neural networks

PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.

PyTorch classes

Official DeiT repository

92.45% on CIFAR-10 in Torch

Development repository for the Triton language and compiler

Transformer related optimization, including BERT, GPT

CUDA Templates for Linear Algebra Subroutines

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Data manipulation and transformation for audio signal processing, powered by PyTorch

Prototype Torch Interpolate with TensorIterator

A User Interface for DETR built with Dash. 100% Python.

Reference implementations of inference benchmarks

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

End-to-End Object Detection with Transformers

Torch on steroids

Pytorch implementation of the image transformer for unconditional image generation

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The website for PyTorch

Torch7 for iOS.

An Image toolbox for Torch.

Rocks for torch

Graph package for Torch

Efficient Image Captioning code in Torch, runs on GPU

Torch's web page.

A LuaJIT FFI interface to MATIO and simple bindings for torch

Load Caffe networks in Torch7

Hashing functions for Torch7

An interface between Torch and Matlab

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IMAGINE torch neural network routines

A CUDA backend for Torch7

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