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Projects in Awesome Lists tagged with deep-neural-networks

A curated list of projects in awesome lists tagged with deep-neural-networks .

https://github.com/leverxgroup/esrgan

Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution

computer-vision deep-neural-networks generative-adversarial-network image-processing pytorch super-resolution

Last synced: 30 Jul 2024

https://github.com/alex-lechner/traffic-light-classification

A detailed tutorial on how to build a traffic light classifier with TensorFlow for the capstone project of Udacity's Self-Driving Car Engineer Nanodegree Program.

convolutional-neural-networks deep-learning deep-neural-networks tensorflow tensorflow-models tensorflow-tutorials traffic-light-classification traffic-light-detection traffic-lights

Last synced: 26 Sep 2024

https://github.com/cgtuebingen/Flex-Convolution

Source code for: Flex-Convolution (Million-Scale Point-Cloud Learning Beyond Grid-Worlds), accepted at ACCV 2018

3d-point-clouds cuda deep-learning deep-neural-networks machine-learning pointcloud pointcloudprocessing research research-paper segmentation shapenet tensorflow

Last synced: 31 Jul 2024

https://github.com/haoxiangsnr/IRM-based-Speech-Enhancement-using-LSTM

Ideal Ratio Mask (IRM) Estimation based Speech Enhancement using LSTM

deep-neural-networks ideal-ratio-mask lstm pytorch speech-enhancement

Last synced: 01 Aug 2024

https://github.com/billyblu2000/AccoMontage2

Chord and accompaniment generator, pure python package that generate chord progression and accompaniment according to given melodies. Code for paper AccoMontage2: A Complete Harmonization and Accompaniment Arrangement System.

chord-progression computer-music deep-neural-networks dp midi python

Last synced: 05 Aug 2024

https://github.com/knjcode/mxnet-finetuner

An all-in-one Deep Learning toolkit for image classification to fine-tuning pretrained models using MXNet.

deep-learning deep-neural-networks fine-tuning-cnns machine-learning mxnet

Last synced: 01 Aug 2024

https://github.com/safellama/plexiglass

A toolkit for detecting and protecting against vulnerabilities in Large Language Models (LLMs).

adversarial-attacks adversarial-machine-learning cybersecurity deep-learning deep-neural-networks machine-learning security

Last synced: 01 Aug 2024

https://github.com/kortex-labs/plexiglass

A toolkit for detecting and protecting against vulnerabilities in Large Language Models (LLMs).

adversarial-attacks adversarial-machine-learning cybersecurity deep-learning deep-neural-networks machine-learning security

Last synced: 22 Aug 2024

https://github.com/palle-k/DL4S

Accelerated tensor operations and dynamic neural networks based on reverse mode automatic differentiation for every device that can run Swift - from watchOS to Linux

autograd automatic-differentiation convolutional-neural-networks deep-learning deep-neural-networks derivatives gradient-descent machine-learning neural-networks optimizers recurrent-networks recurrent-neural-networks swift swift-machine-learning tensor

Last synced: 17 Aug 2024

https://github.com/clesleycode/deep-learning-python

Intro to Deep Learning, including recurrent, convolution, and feed forward neural networks.

curriculum deep-learning deep-neural-networks lasagne python theano

Last synced: 07 Aug 2024

https://github.com/Carmezim/MIT-6.S094

MIT-6.S094: Deep Learning for Self-Driving Cars Assignments solutions

6s094 assignments deep-learning deep-neural-networks lectures mit self-driving-car

Last synced: 07 Aug 2024

https://github.com/doocs/deep-learning

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ai deep-learning deep-neural-networks doocs pytorch tensorflow

Last synced: 31 Jul 2024

https://github.com/maekawatoshiki/altius

Small ONNX inference runtime written in Rust

deep-neural-networks onnx rust wasm

Last synced: 01 Oct 2024

https://github.com/blinkdl/blinkdl

A minimalist deep learning library in Javascript using WebGL + asm.js. Run convolutional neural network in your browser.

alphago deep-learning deep-neural-networks deeplearning neural-network neural-networks

Last synced: 03 Oct 2024

https://github.com/Fontinalis/fonet

fonet is a deep neural network package for Go.

deep-neural-networks golang machine-learning

Last synced: 30 Jul 2024

https://github.com/bzantium/pytorch-admm-pruning

Prune DNN using Alternating Direction Method of Multipliers (ADMM)

admm deep-neural-networks pruning

Last synced: 03 Oct 2024

https://github.com/hellloxiaotian/acnet

Asymmetric CNN for image super-resolution (IEEE Transactions on Systmes, Man, and Cybernetics: Systems 2021)

blind-super-resolution cnn cnn-pytorch deep-learning deep-network deep-neural-networks image-processing low-level-vision python2 python27 pytorch pytorch-cnn super-resolution

Last synced: 01 Oct 2024

https://github.com/kailaix/AdFem.jl

Innovative, efficient, and computational-graph-based finite element simulator for inverse modeling

adjoint-method automatic-differentiation deep-neural-networks finite-element-methods machine-learning numerical-pdes

Last synced: 02 Aug 2024

https://github.com/sayakpaul/adaptive-gradient-clipping

Minimal implementation of adaptive gradient clipping (https://arxiv.org/abs/2102.06171) in TensorFlow 2.

colab-notebook computer-vision deep-neural-networks normalization-free-training tensorflow2

Last synced: 03 Oct 2024

https://github.com/zlpure/CS231n

My Solution to Assignments of CS231n in Winter2016

anaconda deep-learning deep-neural-networks

Last synced: 07 Aug 2024

https://github.com/SIP-Lab/CNN-VAD

A Convolutional Neural Network based Voice Activity Detector for Smartphones

deep-learning deep-neural-networks digital-signal-processing smartphone speech-processing

Last synced: 03 Aug 2024

https://github.com/manila95/BASS-Net

Band-Adaptive Spectral-Spatial Feature Learning Deep Neural Network for Hyperspectral Image Classification

bass-net computer-vision deep-neural-networks hyperspectral-images landcover-classification

Last synced: 03 Aug 2024

https://github.com/braun-steven/dfi-tensorflow

Implementation of Deep Feature Interpolation in Tensorflow using a VGG19 model

deep-learning deep-neural-networks machine-learning tensorflow

Last synced: 03 Oct 2024

https://github.com/IliaZenkov/sklearn-audio-classification

An in-depth analysis of audio classification on the RAVDESS dataset. Feature engineering, hyperparameter optimization, model evaluation, and cross-validation with a variety of ML techniques and MLP

audio audio-data classification deep-learning-tutorial deep-neural-networks dnns emotion emotion-detection emotion-recognition feature-engineering machine-learning machine-learning-tutorials mlp-model model-evaluation ravdess-dataset scikit-learn sklearn

Last synced: 31 Jul 2024

https://github.com/chnsh/deep-semantic-code-search

Deep Semantic Code Search aims to explore a joint embedding space for code and description vectors and then use it for a code search application

deep-learning deep-neural-networks nlp nlp-machine-learning

Last synced: 31 Jul 2024

https://github.com/maxmekiska/imbrium

Standard and Hybrid Deep Learning Multivariate-Multi-Step & Univariate-Multi-Step Time Series Forecasting.

deep-learning deep-neural-networks keras tensorflow time-series

Last synced: 02 Oct 2024

https://github.com/hichoe95/Rarity-Score

[ICLR-2023] Rarity Score : A New Metric to Evaluate the Uncommonness of Synthesized Images

deep-neural-networks generative-model metric

Last synced: 03 Aug 2024

https://github.com/nazmul-karim170/UNICON-Noisy-Label

[CVPR'22] Official Implementation of the CVPR 2022 paper "UNICON: Combating Label Noise Through Uniform Selection and Contrastive Learning"

contrastive-learning deep-learning deep-neural-networks jensen-shannon-divergence label-noise-robustness machine-learning noisy-labels semi-supervised-learning

Last synced: 01 Aug 2024

https://github.com/sayakpaul/sharpness-aware-minimization-tensorflow

Implements sharpness-aware minimization (https://arxiv.org/abs/2010.01412) in TensorFlow 2.

computer-vision deep-neural-networks generalization loss-landscape tensorflow tpu-acceleration

Last synced: 03 Oct 2024

https://github.com/pcpLiu/Serrano

A Swift deep learning library with Accelerate and Metal support.

deep-learning deep-neural-networks ios machine-learning macos swift

Last synced: 14 Aug 2024

https://github.com/hristo-vrigazov/dnn.cool

A framework for multi-task learning, where you may precondition tasks and compose them into bigger tasks. Conditional objectives and per-task evaluations and interpretations.

catalyst deep-learning deep-neural-network deep-neural-networks multitask-learning multitasking pytorch task-composition task-precondition

Last synced: 03 Aug 2024

https://github.com/ayulockin/losslandscape

Explores the ideas presented in Deep Ensembles: A Loss Landscape Perspective (https://arxiv.org/abs/1912.02757) by Stanislav Fort, Huiyi Hu, and Balaji Lakshminarayanan.

deep-neural-networks keras loss-landscape neural-networks tensorflow

Last synced: 03 Oct 2024

https://github.com/mdsunivie/deeperwin

DeepErwin is a python 3.8+ package that implements and optimizes JAX 2.x wave function models for numerical solutions to the multi-electron Schrödinger equation. DeepErwin supports weight-sharing when optimizing wave functions for multiple nuclear geometries and the usage of pre-trained neural network weights to accelerate optimization.

deep-learning deep-neural-networks physical-chem quantum-monte-carlo schrodinger-equation transfer-learning variational-monte-carlo weight-sharing

Last synced: 02 Aug 2024

https://github.com/rangilyu/mobilenext

non-official PyTorch implementation of MobileNeXt from paper [Rethinking Bottleneck Structure for Efficient Mobile Network Design]

deep-neural-networks mobilenet pytorch

Last synced: 03 Oct 2024

https://github.com/benedekrozemberczki/FEATHER

The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models".

data-mining deep-learning deep-neural-networks deepwalk graph graph-classification graph-convolution graph-embedding graph-kernel graph2vec machine-learning network-embedding networkx neural-network node-classification node-embedding node2vec pytorch representation-learning tensorflow

Last synced: 01 Aug 2024

https://github.com/sanechips-multimedia/syenet

SYENet: A Simple Yet Effective Network for Multiple Low-Level Vision Tasks with Real-Time Performance on Mobile Device, in ICCV 2023

computer-vision deep-neural-networks

Last synced: 31 Jul 2024

https://github.com/saareliad/FTPipe

FTPipe and related pipeline model parallelism research.

deep-neural-networks distributed-training fine-tuning nlp pipeline-parallelism t5

Last synced: 01 Aug 2024

https://github.com/joisino/speedbook

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deep-learning deep-neural-networks distillation efficiency neural-networks pruning pytorch quantization

Last synced: 26 Sep 2024

https://github.com/ofnote/tsanley

A runtime shape checker and auto-annotator for tensor programs (pronounced "stanley")

deep-learning deep-neural-networks neural-networks numpy pytorch tensorflow

Last synced: 28 Sep 2024

https://github.com/karolzak/cntk-hotel-pictures-classificator

This POC is using CNTK 2.1 to train model for multiclass classification of images. Our model is able to recognize specific objects (i.e. toilet, tap, sink, bed, lamp, pillow) connected with picture types we are looking for. It plays a big role in a process which will be used to classify pictures from different hotels and determine whether it's a picture of bathroom, bedroom, hotel front, swimming pool, bar, etc.

ai alexnet-model classification cntk cntk-model cognitive-toolkit deep-learning deep-neural-networks dsvm faster-rcnn machine-learning ml object-classification object-detection python transfer-learning

Last synced: 03 Oct 2024

https://github.com/yu-iskw/google-cloud-deep-learning-kit

Create a GPU instance on GCP with Jupyter + Keras(Tensorflow) + Nvidia Docker

deep-learning deep-neural-networks docker google-cloud gpu jupyter keras nvidia-docker tensorflow

Last synced: 01 Aug 2024

https://github.com/mravanelli/pytorch_MLP_for_ASR

This code implements a basic MLP for speech recognition. The MLP is trained with pytorch, while feature extraction, alignments, and decoding are performed with Kaldi. The current implementation supports dropout and batch normalization. An example for phoneme recognition using the standard TIMIT dataset is provided.

asr cuda deep-learning deep-neural-networks feedforward-neural-network kaldi kaldi-asr mlp multilayer-perceptron neural-networks python pytorch speech-recognition timit

Last synced: 07 Aug 2024

https://github.com/JeffWang0325/Image-Identification-for-Self-Driving-Cars

đŸ–ïž This project achieves some functions of image identification for Self-Driving Cars. First, use yolov5 for object detection. Second, image classification for traffic light and traffic sign. Furthermore, the GUI of this project makes it more user-friendly for users to realize the image identification for Self-Driving Cars.

computer-vision convolutional-neural-networks deep-learning deep-neural-networks dr droidcam python pytorch real-time-detection self-driving-car tensorflow tkinter tkinter-gui tkinter-python traffic-light-classification traffic-sign-classification webcam webcam-capture yolo yolov5

Last synced: 02 Aug 2024

https://github.com/corochann/chainer-pointnet

Chainer implementation of PointNet, PointNet++, KD-Network and 3DContextNework

chainer classification cupy deep-learning deep-neural-networks pointnet segmentation

Last synced: 31 Jul 2024

https://github.com/alexandra-chron/ntua-slp-wassa-iest2018

Deep-learning Transfer Learning models of NTUA-SLP team submitted at the IEST of WASSA 2018 at EMNLP 2018.

deep-learning deep-neural-networks emotion-analysis language-models lstm python pytorch sentiment-analysis transfer-learning twitter

Last synced: 01 Aug 2024

https://github.com/louisyuzhe/MachineLearning_NILM

Undergraduate research by Yuzhe Lim in Spring 2019. Field of research: Deep Neural Networks application on NILM (Nonintrusive load monitoring) for Energy Disaggregation

deep deep-neural-networks denoising-autoencoders energy-disaggregation lstm-neural-networks machine-learning nilm resnet

Last synced: 01 Aug 2024

https://github.com/galliot-us/models

Neuralet edge deep learning models library. Neuralet is an open-source platform for edge deep learning models on GPU, TPU, and more.

coral-tpu deep-learning deep-neural-networks edge-ai edge-computing edgetpu jetson-nano

Last synced: 01 Aug 2024