felix-petersen Goto Github PK

algovision

Differentiable Algorithms and Algorithmic Supervision.

algovision-docs

augly

A data augmentations library for audio, image, text, and video.

bdmc

PyTorch implementation of Bidirectional Monte Carlo, Annealed Importance Sampling, and Hamiltonian Monte Carlo

cpp-realtime-debug

Print evaluated booleans which are used in conditions (if, for, while...) for debug purposes.

difflogic

A Library for Differentiable Logic Gate Networks

diffsort

Differentiable Sorting Networks

difftopk

Differentiable Top-k Classification Learning

distiller

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://nervanasystems.github.io/distiller

distquant

Distributional Quantization: Optimal and Efficient Quantization

fairness-post-processing

fork_pytorch_neural_renderer

A PyTorch port of the Neural 3D Mesh Renderer

gendr

GenDR: A Generalized Differentiable Renderer

isaac

latexeqchecker

A framework for checking math equations etc. in LaTeX documents and annotation of correctness.

nevergrad

A Python toolbox for performing gradient-free optimization

nvgpu

NVIDIA GPU tools - monitoring on CLI & web app with multiple agents

pytorch-seq2seq

An open source framework for seq2seq models in PyTorch.

pytorch_deephash

Pytorch implementation of Deep Learning of Binary Hash Codes for Fast Image Retrieval, CVPRW 2015

pytorch_spinn

reloss

Official implementation for paper "Relational Surrogate Loss Learning", ICLR 2022

softras

Project page of paper "Soft Rasterizer: A Differentiable Renderer for Image-based 3D Reasoning"

style-agnostic-3d-reconstruction

test-tube

Python library to easily log experiments and parallelize hyperparameter search for neural networks

vision

Datasets, Transforms and Models specific to Computer Vision

website-1