vinutah

vinutah's Stars

• NVIDIA-AI-IOT/torch2trt

  An easy to use PyTorch to TensorRT converter

  Language:Python4.6k73724676

• ieee8023/covid-chestxray-dataset

  We are building an open database of COVID-19 cases with chest X-ray or CT images.

  Language:Jupyter Notebook3k1561121.3k

• tensorly/tensorly

  TensorLy: Tensor Learning in Python.

  Language:Python1.6k45269289

• fastai/imagenette

  A smaller subset of 10 easily classified classes from Imagenet, and a little more French

  Language:Jupyter Notebook980122474

• LLNL/zfp

  Compressed numerical arrays that support high-speed random access

  Language:C++77129150158

• ankurtaly/Integrated-Gradients

  Attributing predictions made by the Inception network using the Integrated Gradients method

  Language:Jupyter Notebook599111698

• yaodongyu/TRADES

  TRADES (TRadeoff-inspired Adversarial DEfense via Surrogate-loss minimization)

  Language:Python5181028123

• JeanKossaifi/tensorly-notebooks

  Tensor methods in Python with TensorLy

  Language:Jupyter Notebook4291513126

• facebookresearch/TorchRay

  Understanding Deep Networks via Extremal Perturbations and Smooth Masks

  Language:Python344162033

• rballester/tntorch

  Tensor Network Learning with PyTorch

  Language:Python283102042

• jacobgil/pytorch-tensor-decompositions

  PyTorch implementation of [1412.6553] and [1511.06530] tensor decomposition methods for convolutional layers.

  Language:Python27971363

• NVlabs/SSV

  Pytorch implementation of SSV: Self-Supervised Viewpoint Learning from Image Collections (CVPR 2020)

  Language:Python214221227

• SCUT-AILab/DCP

  Code for “Discrimination-aware-Channel-Pruning-for-Deep-Neural-Networks”

  Language:Python18392227

• jwfromm/Riptide

  Simple Training and Deployment of Fast End-to-End Binary Networks

  Language:Jupyter Notebook15913821

• NVlabs/condensa

  Programmable Neural Network Compression

  Language:Python14622726

• NVIDIA/clara-train-examples

  Example notebooks demonstrating how to use Clara Train to build Medical Imaging Deep Learning models

  Language:HTML125111780

• bytedance/TWIST

  Official codes: Self-Supervised Learning by Estimating Twin Class Distribution

  Language:Python965211

• shoaibahmed/awesome-ChatGPT

  A repository containing interesting demos / failure cases of ChatGPT

  83709

• musco-ai/musco-pytorch

  MUSCO: MUlti-Stage COmpression of neural networks

  Language:Jupyter Notebook719916

• JeanKossaifi/caltech-tutorial

  Material for my Caltech tutorial on deep learning and tensor methods

  Language:Jupyter Notebook697023

• UCMerced-ML/LC-model-compression

  Model compression by constrained optimization, using the Learning-Compression (LC) algorithm

  Language:Python696315

• mohammadbashiri/tensor-decomposition-in-python

  A short tutorial on implementing Canonical Polyadic (CP) tensor decomposition in Python

  Language:Jupyter Notebook615121

• LaRiffle/ariann

  Low-Interaction Privacy-Preserving Deep Learning via Function Secret Sharing

  Language:Python496104

• paralab/Dendro-5.01

  Distributed adaptive octree construction, 2:1 balancing & partitioning based on space filling curves

  Language:C++31707

• hmix13/AutoViz

  Language:Jupyter Notebook233014

• juliagusak/flopco-pytorch

  FLOPs and other statistics COunter for Pytorch neural networks

  Language:Python233310

• cetmann/robustness-interpretability

  Code for the Paper 'On the Connection Between Adversarial Robustness and Saliency Map Interpretability' by C. Etmann, S. Lunz, P. Maass, C.-B. Schönlieb

  Language:Python16101

• hshokrig/Learning-and-compression-for-big-datasets

  This repos. contains simulation codes for joint learning and compression for big datasets

  Language:MATLAB6202

• BaoWangMath/rvsm-rgsm-admm

  Language:Python3300

• nithinvc/zfp

  Library for compressed numerical arrays that support high throughput read and write random access

  Language:C1100