Top 738 deep-neural-networks open source projects

This repository contains my solutions to the assignments for Stanford's CS231n "Convolutional Neural Networks for Visual Recognition" (Spring 2020).

my own deep learning mastery roadmap

Reference github repository for the paper "Improving Single-Image Defocus Deblurring: How Dual-Pixel Images Help Through Multi-Task Learning". We propose a single-image deblurring network that incorporates the two sub-aperture views into a multitask framework. Specifically, we show that jointly learning to predict the two DP views from a single …

3DV 2021: Synergy between 3DMM and 3D Landmarks for Accurate 3D Facial Geometry

Gluon to PyTorch deep neural network model converter

adversarial examples, adversarial malware examples, adversarial malware detection, adversarial deep ensemble, Android malware variants

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

A DNN inference latency prediction toolkit for accurately modeling and predicting the latency on diverse edge devices.

Handwritten digit recognizer using a feed-forward neural network and the MNIST dataset of 70,000 human-labeled handwritten digits.

StyleGAN Encoder - converts real images to latent space

⛔️ DEPRECATED <Python Framework for Reproducible Deep Learning Experiments>

Deep Reinforcement Learning that makes you smile

Deep Learning Primitives and Mini-Framework for OpenCL

Tensorflow Implementation of Paper "Improved Training of Wasserstein GANs"

도서 "핸즈온 머신러닝"의 예제와 연습문제를 담은 주피터 노트북입니다.

This repository contains the "tensorflow" implementation of our paper "graph2vec: Learning distributed representations of graphs".

Bioinformatics16: DeepChrome: Deep-learning for predicting gene expression from histone modifications

🌅 Automated image color correction / enhancement with Deep Learning (CNN) ***(NO LONGER MAINTAINED)

DeepCrack: A Deep Hierarchical Feature Learning Architecture for Crack Segmentation, Neurocomputing.

Training Low-bits DNNs with Stochastic Quantization

Number detection implemented using TensorFlow with custom CNN architecture for fast inference and custom dataset

用python做计算机视觉，人工智能，机器学习，深度学习等

ML-AI Community | Open Source | Built in Bharat for the World | Data science problem statements and solutions

Word Sense Disambiguation using Word Specific models, All word models and Hierarchical models in Tensorflow

A collection of ML related stuff including notebooks, codes and a curated list of various useful resources such as books and softwares. Almost everything mentioned here is free (as speech not free food) or open-source.

Keras Implementation of Deepmind's WaveNet for Supervised Learning Tasks

Deep neural networks implemented in TensorFlow & Python for predicting whether transcription factors will bind to given DNA sequences

Serving a keras model (neural networks) in a website with the python Django-REST framework.

A PyTorch implementation of the Light Temporal Attention Encoder (L-TAE) for satellite image time series. classification

Traffic Prediction in PaddlePaddle (ASC17 Deep Learning Application)

A Repository with C++ implementations of Reinforcement Learning Algorithms (Pytorch)

This repo is about NAS

ESANet: Efficient RGB-D Semantic Segmentation for Indoor Scene Analysis

Sentiment analysis challenge for Datalogue recruiting

Tensorflow Implementation of FaceNet: A Unified Embedding for Face Recognition and Clustering to find the celebrity whose face matches the closest to yours.

AI Learning Hub for Machine Learning, Deep Learning, Computer Vision and Statistics

Open solution to the Airbus Ship Detection Challenge

Tensorflow implementation of the Manifold Mixup machine learning research paper

ML-capsule is a Project for beginners and experienced data science Enthusiasts who don't have a mentor or guidance and wish to learn Machine learning. Using our repo they can learn ML, DL, and many related technologies with different real-world projects and become Interview ready.

[ICML2020] Normalized Loss Functions for Deep Learning with Noisy Labels

Deep Learning Library. For education. Based on pure Numpy. Support CNN, RNN, LSTM, GRU etc.

Official PyTorch implementation of the paper: "DeepSIM: Image Shape Manipulation from a Single Augmented Training Sample" (ICCV 2021 Oral)

Curated list of publicly accessible machine learning engineering courses from CalTech, Columbia, Berkeley, MIT, and Stanford.

Athena: A Framework for Defending Machine Learning Systems Against Adversarial Attacks

(MIRROR) Face finding engine that runs on a local service. Includes a pipeline for preprocessing a user-defined image dataset.

Signal-Processing-and-Pattern-Classification - Atrial fibrillation & PCG classification

PyTorch Implementation of ByteDance's Cross-speaker Emotion Transfer Based on Speaker Condition Layer Normalization and Semi-Supervised Training in Text-To-Speech

Road Segmentation in Satellite Aerial Images

Real-time neural style transfer via meta networks

Various cognitive api for machine learning, vision, language intent alalysis. Covers traditional as well as deep learning model design and training.

No description or website provided.

A platform which solves maths word problems in English language

A Tensorflow retrieval (space embedding) baseline. Metric learning baseline on CUB and Stanford Online Products.

Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠 (ICLR 2019)

Enabling easy statistical significance testing for deep neural networks.

Implementation of "Embedding Watermarks into Deep Neural Networks," in Proc. of ICMR'17.

🍃 Using a Neural Network to recognize MNIST digets in JavaScript.

It's a github repo star predictor that tries to predict the stars of any github repository having greater than 100 stars.

Tensorflow with Image Super-Resolution Using Dense Skip Connections , color

FFTNet: a Real-Time Speaker-Dependent Neural Vocoder