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csci4961_labs_projects

cutensor_cuda_library_for_transform_based_tensors

T. Zhang, X.-Y. Liu, X. Wang, and A. Walid. cuTensor-tubal: Efficient primitives for tubal-rank tensor operations on GPUs. IEEE Transactions on Parallel and Distributed Systems, 2019.

desci

Rank Minimization for Snapshot Compressive Imaging (SCI)

dp_matrix_completion_alt_min

a matlab code

dp_tensorcompletion_fw

Differentially Private Tensor Completion Using_Frank_Wolf_Algorithm

dqn_traffic_light_control

X.-Y. Liu, Z. Ding, S. Borst, A. Walid. Deep reinforcement learning for intelligent transportation systems. NeurIPS Workshop on Machine Learning for Intelligent Transportation Systems, 2018.

dynamic-stock-recommendation-machine_learning-published-paper-ieee

elegantrl

Lightweight, stable, efficient PyTorch implement of reinforcement learning. I want to call this PyTorch implement as "3-Python-file-RL".

fingerprint_indoor_localization_tensor_gan

fingpt

Data-Centric FinGPT. Open-source for open finance! Revolutionize 🔥 We'll soon release the trained model.

graph-tensor

homomorphic_matrix_completion_multiple_gpu

Homomorphic_Matrix_Completion_Multiple_GPU

ht_tensor_learning_using_gpu_tensor_cores

intro-to-quantum-computing-website

Intro to Quantum Computing Website

l-mlds-for-tensor-time-series

L-MLDS modeling; Tensor time series prediction

l_svd_for_video_synthesis

learntocut

Code implementation for NeurIPS 2019 submission 'Reinforcement Learning for Integer Programming: Learning to Cut'

leverage_sampling_tc_for_device_latency_estimation

Tensor Completion with Leverage Sampling for Personal Device Network Latency Estimation

qrl_tensor_networks

readme

README文件语法解读，即Github Flavored Markdown语法介绍

seismic-facies-analysis-dcae

Geophysics 2018. Unsupervised seismic facies analysis via deep convolutional autoencoders

seismic_sensory_data_analysis

shearlet_cnn_super_resolution

shearlet_for_snapshot_compressive_imaging

Exploit the sparsity in a shearlet transform to accelerate the decoding for Snapshot Compressive Imaging cameras.

tensor-admm-net-sci

Dataset with processing code

tensor-gan

Tensor GAN. Ding, Z., Liu, X.Y., Yin, M. and Kong, L., 2019, August. Tensor Super-Resolution with Generative Adversarial Nets: A Large Image Generation Approach. In International Workshop on Human Brain and Artificial Intelligence (pp. 209-223).

tensor-super-resolution-model

tensorflow-implementation-of-triple-gan

This is a tensorflow re-implementation for tirple-GAN.

tensorlet_in_c_c_plusplus

J. Huang, L. Kong, X.-Y. Liu, W. Qu and G. Chen. A C++ library for tensor decomposition. International Performance Computing and Communications Conference (IPCCC), 2019. A C/C++ library for highly efficient and scalable tensor decompositions.

tensorlet_in_python