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105 search results found

Darknet ⭐ 24,851

Convolutional Neural Networks

Gnnpapers ⭐ 15,156

Must-read papers on graph neural networks (GNN)

Awesome Pytorch List ⭐ 14,715

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

Keras Gan ⭐ 8,842

Keras implementations of Generative Adversarial Networks.

3d Machine Learning ⭐ 8,647

A resource repository for 3D machine learning

Best_ai_papers_2022 ⭐ 3,200

A curated list of the latest breakthroughs in AI (in 2022) by release date with a clear video explanation, link to a more in-depth article, and code.

Deep Learning Papers ⭐ 2,954

Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.

Awesome Speech Recognition Speech Synthesis Papers ⭐ 2,869

Automatic Speech Recognition (ASR), Speaker Verification, Speech Synthesis, Text-to-Speech (TTS), Language Modelling, Singing Voice Synthesis (SVS), Voice Conversion (VC)

[CVPR2020] Adversarial Latent Autoencoders

Awesome Deeplearning Resources ⭐ 2,739

Deep Learning and deep reinforcement learning research papers and some codes

Deepnlp Models Pytorch ⭐ 2,372

Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)

Papers ⭐ 2,239

Summaries of machine learning papers

Papers Literature Ml Dl Rl Ai ⭐ 1,798

Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning

Abigsurvey ⭐ 1,788

A collection of 1000+ survey papers on Natural Language Processing (NLP) and Machine Learning (ML)

Deblurgan ⭐ 1,657

Image Deblurring using Generative Adversarial Networks

Awesome Model Quantization ⭐ 1,449

A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (papers, repositories) that are missed by the repo.

Awesome Pytorch List Cnversion ⭐ 1,426

Awesome-pytorch-list 翻译工作进行中......

Awesome Neural Geometry ⭐ 785

A curated collection of resources and research related to the geometry of representations in the brain, deep networks, and beyond

Ml University ⭐ 710

Machine Learning Open Source University

Awesome_deep_learning_interpretability ⭐ 699

深度学习近年来关于神经网络模型解释性的相关高引用/顶会论文(附带代码)

Must Read Papers And Continuous Tracking On Graph Neural Network Gnn Progress ⭐ 699

Papers on Graph neural network(GNN)

Diffwave ⭐ 628

DiffWave is a fast, high-quality neural vocoder and waveform synthesizer.

All About The Gan ⭐ 602

All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN

Tensorflow Value Iteration Networks ⭐ 544

TensorFlow implementation of the Value Iteration Networks (NIPS '16) paper

Cool Fashion Papers ⭐ 512

👔👗🕶️🎩 Cool resources about Fashion + AI! (papers, datasets, workshops, companies, ...) (constantly updating)

Image Processing with Cellular Neural Networks in Python

Multilabel Timeseries Classification With Lstm ⭐ 487

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

Text2sql Data ⭐ 478

A collection of datasets that pair questions with SQL queries.

Must Read Papers For Ml ⭐ 446

Collection of must read papers for Data Science, or Machine Learning / Deep Learning Engineer

Weightnorm ⭐ 341

Example code for Weight Normalization, from "Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks"

Musicgenreclassification ⭐ 327

Classify music genre from a 10 second sound stream using a Neural Network.

Cyclegan ⭐ 325

Tensorflow implementation of CycleGAN

Efficient Segmentation Networks ⭐ 323

Lightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet, CGNet, DABNet, Fast-SCNN, ContextNet, FPENet, etc.)

OptNet: Differentiable Optimization as a Layer in Neural Networks

Lagrangian_nns ⭐ 308

Lagrangian Neural Networks

Literature for the self-taught AI practitioner! 📚

Model Compression Papers ⭐ 306

Papers for deep neural network compression and acceleration

Code for the paper "Curiosity-driven Exploration in Deep Reinforcement Learning via Bayesian Neural Networks"

Nn4nlp Concepts ⭐ 297

A repository of concepts related to neural networks for NLP

Hepml Livingreview ⭐ 293

Living Review of Machine Learning for Particle Physics

Attention_is_all_you_need ⭐ 293

Transformer of "Attention Is All You Need" (Vaswani et al. 2017) by Chainer.

Handwriting Generation ⭐ 289

Implementation of handwriting generation with use of recurrent neural networks in tensorflow. Based on Alex Graves paper (https://arxiv.org/abs/1308.0850).

Shufflenet ⭐ 251

ShuffleNet in PyTorch. Based on https://arxiv.org/abs/1707.01083

Deep Learning Papers For Fish ⭐ 248

a list of pappers in deep learning for new-comes.

Rlgraph ⭐ 241

RLgraph: Modular computation graphs for deep reinforcement learning

Wavegrad ⭐ 239

A fast, high-quality neural vocoder.

Pytorch Classification Uncertainty ⭐ 235

This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"

Good Papers ⭐ 231

I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my notes on some good papers

Deeptextures ⭐ 229

Code to synthesise textures using convolutional neural networks as described in Gatys et al. 2015 (http://arxiv.org/abs/1505.07376)

Keras Resnext ⭐ 219

Implementation of ResNeXt models from the paper Aggregated Residual Transformations for Deep Neural Networks in Keras 2.0+.

Pytorch Lesson Zh ⭐ 214

pytorch 包教不包会

Rtdl Num Embeddings ⭐ 212

(NeurIPS 2022) On Embeddings for Numerical Features in Tabular Deep Learning

Input Convex Neural Networks

Awesome Quantization Papers ⭐ 201

List of papers related to neural network quantization in recent AI conferences and journals.

Deepskeleton ⭐ 198

Code for CVPR2016 and TIP papers about Object Skeleton Detection with Fully Convolutional Neural Networks.

SPINN (Stack-augmented Parser-Interpreter Neural Network): fast, batchable, context-aware TreeRNNs

Intrinsic Image Popularity ⭐ 189

The pytorch code of the paper "Intrinsic Image Popularity Assessment"

Awesome Lifelong Continual Learning ⭐ 187

A list of papers, blogs, datasets and software in the field of lifelong/continual machine learning

A stable algorithm for GAN training

Code for NeurIPS 2019 paper: "Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes"

Deep_learning_papers ⭐ 175

A place to collect papers that are related to deep learning and computational biology

Deterministic Uncertainty Quantification ⭐ 175

Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"

Awesome Deep Phenomena ⭐ 158

A curated list of papers of interesting empirical study and insight on deep learning. Continually updating...

Neural_network_papers ⭐ 158

记录一些读过的论文，给出个人对论文的评分情况并简述论文insight

Fooling ⭐ 154

Code base for "Deep Neural Networks are Easily Fooled" CVPR 2015 paper

Ml Audio Start ⭐ 152

Suggestions for those interested in developing audio applications of machine learning

Depth Hints ⭐ 141

[ICCV 2019] Depth Hints are complementary depth suggestions which improve monocular depth estimation algorithms trained from stereo pairs

Automatic Ecg Diagnosis ⭐ 137

Scripts and modules for training and testing neural network for ECG automatic classification. Companion code to the paper "Automatic diagnosis of the 12-lead ECG using a deep neural network".

Cnn Sentence Classifier ⭐ 135

Implementation of "Convolutional Neural Networks for Sentence Classification" paper

Nn_calibration ⭐ 133

Calibration of Convolutional Neural Networks

Pytorch Multi Class Focal Loss ⭐ 132

An (unofficial) implementation of Focal Loss, as described in the RetinaNet paper, generalized to the multi-class case.

Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".

Multimodal Emotion Recognition ⭐ 117

This repository contains the code for the paper `End-to-End Multimodal Emotion Recognition using Deep Neural Networks`.

Equi-normalization of Neural Networks

Rtdl Revisiting Models ⭐ 115

(NeurIPS 2021) Revisiting Deep Learning Models for Tabular Data

Spider Schema Gnn ⭐ 110

Author implementation of the paper "Representing Schema Structure with Graph Neural Networks for Text-to-SQL Parsing"

Jokenpo ⭐ 108

Can a neural network predict your next move on a game of rock, paper and scissor?

Ai Nlp Paper Readings ⭐ 107

This is my reading list for my PhD in AI, NLP, Deep Learning and more.

Hyperbolic_nn ⭐ 107

Source code for the paper "Hyperbolic Neural Networks", https://arxiv.org/abs/1805.09112

Machinelearning ⭐ 106

Machine learning for beginner(Data Science enthusiast)

Gnn Meta Attack ⭐ 106

Implementation of the paper "Adversarial Attacks on Graph Neural Networks via Meta Learning".

Visualize_atari ⭐ 99

Code for our paper "Visualizing and Understanding Atari Agents" (https://goo.gl/AMAoSc)

Variational Capsule Routing ⭐ 92

Official Pytorch code for (AAAI 2020) paper "Capsule Routing via Variational Bayes", https://arxiv.org/pdf/1905.11455.pdf

🧀 Pytorch code for the Fromage optimiser.

Deep Learning Specialization Coursera ⭐ 92

Deep Learning Specialization courses by Andrew Ng, deeplearning.ai

Snn_benchmark ⭐ 91

Learn Convolutional Neural Network For Face Anti Spoofing ⭐ 90

Implementation of "Learn Convolutional Neural Network for Face Anti-Spoofing" paper

Checkmate ⭐ 90

Training neural networks in TensorFlow 2.0 with 5x less memory

Restoring Extremely Dark Images In Real Time ⭐ 86

The project is the official implementation of our CVPR 2021 paper, "Restoring Extremely Dark Images in Real Time"

Bayesian neural network package

Pytorch implementation of WaDIQaM in TIP2018, Bosse S. et al. (Deep neural networks for no-reference and full-reference image quality assessment)

Learning Invariances ⭐ 85

Codebase for Learning Invariances in Neural Networks

Quantize weights and activations in Recurrent Neural Networks.

Pop_gen_cnn ⭐ 81

Snn_cv_applications_resources ⭐ 79

Paper list for SNN based computer vision tasks.

Neural Style Transfer Pytorch ⭐ 79

Neural Style Transfer (pytorch ver.)

Ai Reading Materials ⭐ 77

Some of the ML and DL related reading materials, research papers that I've read

Math And Ml Notes ⭐ 77

Books, papers and links to latest research in ML/AI

Awesome Ml ⭐ 75

Machine Learning Awesome List

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