491 Open source projects that are alternatives of or similar to Openchem

Python Library for Model Interpretation/Explanations

Recurrent Geometric Networks for end-to-end differentiable learning of protein structure

Code for the Pose Residual Network introduced in 'MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual Network' paper https://arxiv.org/abs/1807.04067

vendor independent deep learning library, compiler and inference framework microcomputers and micro-controllers

A fast Clojure Tensor & Deep Learning library

Official PyTorch Repo for "ReZero is All You Need: Fast Convergence at Large Depth"

Deep Neural Network for Sentiment Analysis on Twitter

Machine Learning Environment - alpha version

Deep Reinforcement Learning library for humans

In this repository, I will share some useful notes and references about deploying deep learning-based models in production.

Market Mix Modelling for an eCommerce firm to estimate the impact of various marketing levers on sales

Data Augmentation by Backtranslation (DAB) ヽ( •_-)ᕗ

ByteNet for character-level language modelling

PAddle PARAllel text-to-speech toolKIT (supporting WaveFlow, WaveNet, Transformer TTS and Tacotron2)

Caffe for Sparse and Low-rank Deep Neural Networks

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

VDSR (CVPR2016) pytorch implementation

A tutorial for Speech Enhancement researchers and practitioners. The purpose of this repo is to organize the world’s resources for speech enhancement and make them universally accessible and useful.

PyTorch implementation of the CortexNet predictive model

Official pytorch Implementation of Relational Knowledge Distillation, CVPR 2019

YOLO for object detection tasks

A Data science challenge - "Mekktronix Sales Forecasting" organised by ZS through Hackerearth platform. Rank: 223 out of 4743.

A Keras implementation of "Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts" (KDD 2018)

Source code for the MICCAI 2016 Paper "Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional NeuralNetworks and 3D Conditional Random Fields"

Developer Version of the R package CAST: Caret Applications for Spatio-Temporal models

BAS R package https://merliseclyde.github.io/BAS/

Implementation of Papers on Adversarial Examples

⏰ AI conference deadline countdowns

deep learning based speech enhancement using keras or pytorch, make it easy to use

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller

Transfer learning for time series classification

Code for reproducing Manifold Mixup results (ICML 2019)

A curated list of awesome Distributed Deep Learning resources.

CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning

This is a repository for an object detection inference API using the Tensorflow framework.

AI 尬舞机

RAD: Reinforcement Learning with Augmented Data

Tensorflow Implementation of Yahoo's Open NSFW Model

Примеры для курса "Программирование глубоких нейронных сетей на Python"

A generic image detection program that uses Google's Machine Learning library, Tensorflow and a pre-trained Deep Learning Convolutional Neural Network model called Inception.

Learning to Cluster. A deep clustering strategy.

Deep Learning Projects that Build Themselves

Plug and Play Real-Time Object Detection App with Tensorflow and OpenCV. No Bugs No Worries. Enjoy!

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

HLS based Deep Neural Network Accelerator Library for Xilinx Ultrascale+ MPSoCs

Code for the Pose Residual Network introduced in 'MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual Network (ECCV 2018)' paper

Machine Learning (EE 5184) in NTU

A curated list of awesome deep vision web demo

A python multi-variate time series prediction library working with sklearn

Real-time Hand Gesture Recognition with PyTorch on EgoGesture, NvGesture, Jester, Kinetics and UCF101

In this code we implement and compared Collaborative Filtering algorithm, prediction algorithms such as neighborhood methods, matrix factorization-based ( SVD, PMF, SVD++, NMF), and many others.

Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertainty estimation in deep learning models.

Exploratory, Inferential and Predictive data analysis. Feel free to show your ❤️ by giving a star ⭐

A Thai word tokenization library using Deep Neural Network

Multi-time-horizon solar forecasting using recurrent neural network

Papers for deep neural network compression and acceleration

Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.

Action recognition using soft attention based deep recurrent neural networks

real-time fire detection in video imagery using a convolutional neural network (deep learning) - from our ICIP 2018 paper (Dunnings / Breckon) + ICMLA 2019 paper (Samarth / Bhowmik / Breckon)

Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit