263 Open source projects that are alternatives of or similar to deep-scite

Creating word embeddings from scratch and visualize them on TensorBoard. Using trained embeddings in Keras.

Massively Parallel and Asynchronous Architecture for Logic-based AI

Unofficial PyTorch implementation of "Progressive Growing of GANs for Improved Quality, Stability, and Variation".

Swift high-level API for TensorFlow.

Evaluate your word embeddings

Simple nlp chatbot

A PyTorch implementation of alpha-GAN

Neural bag of words code search implementation using PyTorch and data from the CodeSearchNet project.

This project is a semi-supervised approach to detect emotions on faces in-the-wild using GAN

Probabilistic Dialogue Act Classification for the Switchboard Corpus using an LSTM model

Image to dense vector embedding. Clone of https://github.com/christiansafka/img2vec for Keras users

Named-Entity Recognition in Persian Language

Tutorials for Machine Learning on Graphs

Deep Learning and Machine Learning mini-projects. Current Project: Deepmind Attentive Reader (rc-data)

SANSA Machine Learning Layer

Using efficientnet to provide embeddings for retrieval

This repository contains the code implementation used in the paper Temporally Coherent Embeddings for Self-Supervised Video Representation Learning (TCE).

中文预训练模型生成字向量学习，测试BERT，ELMO的中文效果

Deep Character CNN LSTM Encoder with Classification and Similarity Models

Public reusable components for Polyaxon

Sentiment Analysis for Arabic Text (tweets, reviews, and standard Arabic) using word2vec

"Zero-Training Sentence Embedding via Orthogonal Basis" paper implementation

Information Retrieval in High Dimensional Data (class deliverables)

CSKG: The CommonSense Knowledge Graph

Simple library to work with pre-trained ELMo models in TensorFlow

Toolkit to help understand "what lies" in word embeddings. Also benchmarking!

Subgraph Neural Networks (NeurIPS 2020)

Intelligent Word Embeddings of Free-Text Radiology Reports

Seamlessly integrate matplotlib figures as tensorflow summaries.

Deep-learning model presented in "DataStories at SemEval-2017 Task 6: Siamese LSTM with Attention for Humorous Text Comparison".

DSP and filtering library

Convolution and other super-patches (blur, sharpen)

PyTorch Project Specification.

Colab Compatible FastAI notebooks for NLP and Computer Vision Datasets

Reference implementation of the paper "Word Embeddings for Entity-annotated Texts"

🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱

*SEM 2018: Learning Distributed Event Representations with a Multi-Task Approach

Compact high quality word embeddings for Russian language

Google Colab tutorial with simple network training and Tensorboard.

No description or website provided.

graph embeddings for neo4j in python

VarCLR: Variable Semantic Representation Pre-training via Contrastive Learning

A deep learning model to age faces in the wild, currently runs at 60+ fps on GPUs

PyTorch Lightning + Hydra. A very user-friendly template for rapid and reproducible ML experimentation with best practices. ⚡🔥⚡

High Performance Computing (HPC) and Signal Processing Framework

FLOR: Fast Low-Overhead Recovery. FLOR lets you log ML training data post-hoc, with hindsight.

EMNLP 2019: CaRe: Open Knowledge Graph Embeddings

🚀 Catalyst is a C# Natural Language Processing library built for speed. Inspired by spaCy's design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.

A Toolkit for Training, Tracking, Saving Models and Syncing Results

Machine Learning Operator & Controller for Kubernetes

Authors' implementation of my SIGGRAPH Asia 2019 Technical Briefs (The Power of Box Filters: Real-time Approximation to Large Convolution Kernel by Box-filtered Image Pyramid) demo II. Real-time dynamic irradiance mapping.

Deep Reinforcement Learning in Autonomous Driving: the A3C algorithm used to make a car learn to drive in TORCS; Python 3.5, Tensorflow, tensorboard, numpy, gym-torcs, ubuntu, latex

TF2 Deep FloorPlan Recognition using a Multi-task Network with Room-boundary-Guided Attention. Enable tensorboard, quantization, flask, tflite, docker, github actions and google colab.

Enable TensorBoard for TensorFlow Go API

Improving cross-lingual word embeddings by meeting in the middle

Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.

MINIROCKET: A Very Fast (Almost) Deterministic Transform for Time Series Classification

Aiding the visually impaired through real time augmented reality, AI object detection, WebGL shaders effects such as edge detection, and colour adjustments.

Neural network transition-based dependency parser (in Rust)

Topic clustering library built on Transformer embeddings and cosine similarity metrics.Compatible with all BERT base transformers from huggingface.