628 Open source projects that are alternatives of or similar to Im2latex Tensorflow

Source code for "Learning protein sequence embeddings using information from structure" - ICLR 2019

Efficient Sparse-Winograd Convolutional Neural Networks (ICLR 2018)

🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!

Udacity Self-Driving Car Engineer Nanodegree projects.

Neural networks toolbox focused on medical image analysis

Important paper implementations for Question Answering using PyTorch

An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine (SVM) for Image Classification

A binary library for very fast face detection using compact CNNs.

Implementations for a family of attention mechanisms, suitable for all kinds of natural language processing tasks and compatible with TensorFlow 2.0 and Keras.

A tensorflow implementation with SSD model for person detection and Kalman Filtering combined for tracking

Trained A Convolutional Neural Network To Play 2048 using Deep-Reinforcement Learning

Nonrigid image registration using multi-scale 3D convolutional neural networks

Code for Mimicking Word Embeddings using Subword RNNs (EMNLP 2017)

A simple interface for editing natural photos with generative neural networks.

A Complete and Simple Implementation of MobileNet-V2 in PyTorch

This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.

Repository has been moved: https://github.com/adobe/antialiased-cnns

This is the end-to-end Speech Recognition neural network, deployed in Keras. This was my final project for Artificial Intelligence Nanodegree @Udacity.

Code for the paper Benchmark Analysis of Representative Deep Neural Network Architectures

CNN Image Retrieval in MatConvNet: Training and evaluating CNNs for Image Retrieval in MatConvNet

Türkiye'de yapılan derin öğrenme (deep learning) ve makine öğrenmesi (machine learning) çalışmalarının derlendiği sayfa.

The first public PyTorch implementation of Attentive Recurrent Comparators

Image reconstruction done with untrained neural networks.

Be Driven 🚘

Fast Neural Style Transfer implementation in PyTorch 🎨 🎨 🎨

Tensorflow Implementation of Convolutional Neural Network for Relation Extraction (COLING 2014, NAACL 2015)

Code and weights for local feature affine shape estimation paper "Repeatability Is Not Enough: Learning Discriminative Affine Regions via Discriminability"

pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.

Crack detection for an autonomous UAV

Real time face alignment

News summarization using sequence to sequence model with attention in TensorFlow.

Identifying people from small audio fragments

This repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"

Some of my scripts to automate the boring stuff around me

SHAInet - a pure Crystal machine learning library

[ACM MM 2018] Attribute-Aware Attention Model for Fine-grained Representation Learning

Finetuning AlexNet, VGGNet and ResNet with TensorFlow

Quantization of Convolutional Neural networks.

CNN image style transfer 🎨.

Supervised Semantics-preserving Deep Hashing (TPAMI18)

Predicting depression from acoustic features of speech using a Convolutional Neural Network.

A Tensorflow implementation of CapsNet(Capsules Net) apply on german traffic sign dataset

Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

Singing Voice Separation via Recurrent Inference and Skip-Filtering Connections - PyTorch Implementation. Demo:

Labeled images of the Where's Waldo puzzle for use in classification and image recognition problems.

Learning the Enigma with Recurrent Neural Networks

This is an implementation of Bilinear CNN for fine grained visual recognition using TensorFlow.

A journey into Convolutional Neural Network visualization

Abnormal Event Detection in Videos using SpatioTemporal AutoEncoder

This's an implementation of deepmind Visual Interaction Networks paper using pytorch

CNN image classifier implemented in Keras Notebook 🖼️.

Weakly Supervised Deep Detection Networks (CVPR 2016)

Build a CNN network to predict 3D bounding box of car from 2D image.

A High-Quality Real Time Upscaler for Anime Video

Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)

Lung fields segmentation on CXR images using convolutional neural networks.

A bidirectional LSTM with attention for multiclass/multilabel text classification.

Dynamic Image Networks for Action Recognition