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spatial-transformer-network

A Tensorflow Implementation of Spatial Transformer Networks

spdy

Code for ICML 2022 paper "SPDY: Accurate Pruning with Speedup Guarantees"

spheregan

spheregan-pytorch-implementation

Pytorch implementation of SphereGAN(Sphere Generative Adversarial Network Based on Geometric Moment Matching)

ssd

High quality, fast, modular reference implementation of SSD in PyTorch 1.0

ssl-barlows

structure-lth

[ICML 2022] "Coarsening the Granularity: Towards Structurally Sparse Lottery Tickets" by Tianlong Chen, Xuxi Chen, Xiaolong Ma, Yanzhi Wang, Zhangyang Wang.

supcontrast

PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)

surface_normal

3D surface normal estimation from a single image

surface_normals

Code for the ICCV 2017 paper "Surface Normals in the Wild"

svd-evolutive-cnn

Toy example of a tool to optimize CNN layers widths, according their SVD decomposition

svhn-cnn

Google Street View House Number(SVHN) Dataset, and classifying them through CNN

synaptic-flow

tensorflow-vrnn

A variational recurrent neural network implementation in tensorflow

text-mining-course

Python을 활용한 텍스트 분석 실무를 위한 과정에 대해 다룹니다.

tf-action

tf-dann

Domain-Adversarial Neural Network in Tensorflow

tf-example-models

TensorFlow-based implementation of (Gaussian) Mixture Model and some other examples.

the-incredible-pytorch

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

tiny-imagenet-classifier

Tiny-ImageNet Classifier using Pytorch

tome

A method to increase the speed and lower the memory footprint of existing vision transformers.

torch-crf

Linear-chain LSTM-CRFs and Convolutional CRFs in PyTorch.

torch-harmonics

Differentiable Spherical Harmonic transforms in PyTorch

torchani

Accurate Neural Network Potential on PyTorch

torchdiffeq

Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

torchssl

A PyTorch-based library for semi-supervised learning (NeurIPS'21)

tost

[ICML2022] Training Your Sparse Neural Network Better with Any Mask. Ajay Jaiswal, Haoyu Ma, Tianlong Chen, ying Ding, and Zhangyang Wang

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

truthfulqa

TruthfulQA: Measuring How Models Imitate Human Falsehoods

tutorial_bayesiancompressionfordl

A tutorial on "Bayesian Compression for Deep Learning" published at NIPS (2017).