ReadingA list of computer-science readings I recommend
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Deej A.i.Create automatic playlists by using Deep Learning to *listen* to the music
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Intrusion Detection SystemsThis is the repo of the research paper, "Evaluating Shallow and Deep Neural Networks for Network Intrusion Detection Systems in Cyber Security".
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CondensaProgrammable Neural Network Compression
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Ntaggerreference pytorch code for named entity tagging
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Har Keras CnnHuman Activity Recognition (HAR) with 1D Convolutional Neural Network in Python and Keras
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PwrakeParallel Workflow extension for Rake, runs on multicores, clusters, clouds.
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MicroexpnetMicroExpNet: An Extremely Small and Fast Model For Expression Recognition From Frontal Face Images
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SupraSUPRA: Software Defined Ultrasound Processing for Real-Time Applications - An Open Source 2D and 3D Pipeline from Beamforming to B-Mode
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Transformer DynetAn Implementation of Transformer (Attention Is All You Need) in DyNet
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Nice Gan PytorchOfficial PyTorch implementation of NICE-GAN: Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation
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HeteroflowConcurrent CPU-GPU Programming using Task Models
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Pp4fpgas Cn HlsHLS Project of pp4fpgas - https://github.com/xupsh/pp4fpgas-cn
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Nvbio GplNVBIO is a library of reusable components designed to accelerate bioinformatics applications using CUDA.
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Pyhpc BenchmarksA suite of benchmarks to test the sequential CPU and GPU performance of most popular high-performance libraries for Python.
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Dink点云深度学习框架 | Point cloud Deep learning Framework
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GrenadeDeep Learning in Haskell
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3d Ken Burnsan implementation of 3D Ken Burns Effect from a Single Image using PyTorch
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PamtriPAMTRI: Pose-Aware Multi-Task Learning for Vehicle Re-Identification (ICCV 2019) - Official PyTorch Implementation
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Machine learning lecturesCollection of lectures and lab lectures on machine learning and deep learning. Lab practices in Python and TensorFlow.
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HungariangpuAn GPU/CUDA implementation of the Hungarian algorithm
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Region ConvNot All Pixels Are Equal: Difficulty-Aware Semantic Segmentation via Deep Layer Cascade
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DeepseqslamThe Official Deep Learning Framework for Route-based Place Recognition
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Fbtt EmbeddingThis is a Tensor Train based compression library to compress sparse embedding tables used in large-scale machine learning models such as recommendation and natural language processing. We showed this library can reduce the total model size by up to 100x in Facebook’s open sourced DLRM model while achieving same model quality. Our implementation is faster than the state-of-the-art implementations. Existing the state-of-the-art library also decompresses the whole embedding tables on the fly therefore they do not provide memory reduction during runtime of the training. Our library decompresses only the requested rows therefore can provide 10,000 times memory footprint reduction per embedding table. The library also includes a software cache to store a portion of the entries in the table in decompressed format for faster lookup and process.
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Bass NetBand-Adaptive Spectral-Spatial Feature Learning Deep Neural Network for Hyperspectral Image Classification
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DeephyperDeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks
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360sd NetPytorch implementation of ICRA 2020 paper "360° Stereo Depth Estimation with Learnable Cost Volume"
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Awesome Ai CancerAwesome artificial intelligence in cancer diagnostics and oncology
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BatchtoolsTools for computation on batch systems
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DetextDeText: A Deep Neural Text Understanding Framework for Ranking and Classification Tasks
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CompactnsearchA C++ library to compute neighborhood information for point clouds within a fixed radius. Suitable for many applications, e.g. neighborhood search for SPH fluid simulations.
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Ml Fraud DetectionCredit card fraud detection through logistic regression, k-means, and deep learning.
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Futhark💥💻💥 A data-parallel functional programming language
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DeepdenoiserDeep learning based denoiser for Cycles, Blender's physically-based production renderer.
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Slic cudaSuperpixel SLIC for GPU (CUDA)
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NumerNumeric Erlang - vector and matrix operations with CUDA. Heavily inspired by Pteracuda - https://github.com/kevsmith/pteracuda
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Code Docstring CorpusPreprocessed Python functions and docstrings for automated code documentation (code2doc) and automated code generation (doc2code) tasks.
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SrrescganCode repo for "Deep Generative Adversarial Residual Convolutional Networks for Real-World Super-Resolution" (CVPRW NTIRE2020).
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Deep Learning DrizzleDrench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
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SangitaA Natural Language Toolkit for Indian Languages
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TenginekitTengineKit - Free, Fast, Easy, Real-Time Face Detection & Face Landmarks & Face Attributes & Hand Detection & Hand Landmarks & Body Detection & Body Landmarks & Iris Landmarks & Yolov5 SDK On Mobile.
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ElasticfusionReal-time dense visual SLAM system
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PaddlexPaddlePaddle End-to-End Development Toolkit(『飞桨』深度学习全流程开发工具)
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Opennmt TfNeural machine translation and sequence learning using TensorFlow
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Dnnweaver2Open Source Specialized Computing Stack for Accelerating Deep Neural Networks.
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CuheCUDA Homomorphic Encryption Library
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Nnabla Ext CudaA CUDA Extension of Neural Network Libraries
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Pretrained Language ModelPretrained language model and its related optimization techniques developed by Huawei Noah's Ark Lab.
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Sdtw pytorchImplementation of soft dynamic time warping in pytorch
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PackettracerThe SIMD-accelereted ray tracing in C# powered by Intel hardware intrinsic of .NET Core.
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QuinoaAdaptive computational fluid dynamics
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2016 super resolutionICCV2015 Image Super-Resolution Using Deep Convolutional Networks
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