wxwoods

pytorch_geometric

Graph Neural Network Library for PyTorch

SparConvLow

Integrating Convolution and Sparse Coding for Learning Low-Dimensional Discriminative Image Representations

bayesian-ntk

Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'

Squeeze-and-Recursion-Temporal-Gates

Code for : [Pattern Recognit. Lett. 2021] "Learn to cycle: Time-consistent feature discovery for action recognition" and [IJCNN 2021] "Multi-Temporal Convolutions for Human Action Recognition in Videos".

SlowFast

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

ckn_kernel

computation of convolutional kernels (CKN and NTK) in C++

neural-tangents

Fast and Easy Infinite Neural Networks in Python

Learning-From-Rules

Implementation of experiments in paper "Learning from Rules Generalizing Labeled Exemplars" to appear in ICLR2020 (https://openreview.net/forum?id=SkeuexBtDr)

DRiLLS

DRiLLS: Deep Reinforcement Learning for Logic Synthesis Optimization (ASPDAC'20)

Efficient-Computing

Efficient computing methods developed by Huawei Noah's Ark Lab

model_compression

Implementation of model compression with knowledge distilling method.

knowledge-distillation-pytorch

A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility

SymbolicMathematics

Deep Learning for Symbolic Mathematics

LogisticCircuit

Logistic Circuits

simclr

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

selfstudy-render

Code to generate datasets used in "How Useful is Self-Supervised Pretraining for Visual Tasks?"

game-feature-learning

Code for paper "Cross-Domain Self-supervised Multi-task Feature Learning using Synthetic Imagery", Ren et al., CVPR'18

LearningToSpotArtifacts

Self-Supervised Feature Learning by Learning to Spot Artifacts. In CVPR, 2018.

deepcontext

Author's implementation of 'Unsupervised Visual Representation Learning by Context Prediction'

pLogicNet

mcan-vqa

Deep Modular Co-Attention Networks for Visual Question Answering

SGRLayer

Pure Tensorflow implementation of the SGR layer as proposed in "Symbolic Graph Reasoning Meets Convolutions" .

LENSR

Advanced-Deep-Learning-with-Keras

Advanced Deep Learning with Keras, published by Packt

deeplogic

DeepLogic: Towards End-to-End Differentiable Logical Reasoning

SATNet

Bridging deep learning and logical reasoning using a differentiable satisfiability solver.

logictensornetworks

Deep Learning and Logical Reasoning from Data and Knowledge

Multilabel-timeseries-classification-with-LSTM

Tensorflow implementation of paper: Learning to Diagnose with LSTM Recurrent Neural Networks.

Multilabel-timeseries-classification-with-LSTM

Tensorflow implementation of paper: Learning to Diagnose with LSTM Recurrent Neural Networks.

tpu

Reference models and tools for Cloud TPUs.