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C++ Design Patterns
Python Design Patterns
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.
Distributed skipgram mixture model for multisense word embedding
Code for the book Deep Learning with PyTorch by Eli Stevens and Luca Antiga.
Multi-Task Learning Using Dynamic Weights of Tasks for Face Recognition withFacial Expression
ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators
A simple and working implementation of Electra, the fastest way to pretrain language models from scratch, in Pytorch
Pretrain and finetune ELECTRA with fastai and huggingface. (Results of the paper replicated !)
一款在线的epub格式书籍编辑器
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Pytorch implementation of various Attention Mechanism
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
An implementation of Microsoft's "FastSpeech 2: Fast and High-Quality End-to-End Text to Speech"
Reads an audio file and displays the waveform
A Pytorch implementation of "FloWaveNet: A Generative Flow for Raw Audio"
A PyTorch implementation of : Language Modeling with Gated Convolutional Networks.
Pytorch implementation of Dauphin et al. (2016) "Language Modeling with Gated Convolutional Networks"
C++ implementation of Generalised Brown clustering and python scripts for feature generation
Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning
[DEPRECATED] Repo for exploring multi-task learning approaches to learning sentence representations
Simple Text-Generator with OpenAI gpt-2 Pytorch Implementation
PyTorch Implementation of OpenAI GPT-2
PyTorch code for the EMNLP 2020 paper "Embedding Words in Non-Vector Space with Unsupervised Graph Learning"
Pytorch implementation of models described in "Grounded compositional outputs for adaptive language modeling", EMNLP 2020.
百度网盘不限速下载 支持Windows和Mac 2018年1月16日更新
🌊HMTL: Hierarchical Multi-Task Learning - A State-of-the-Art neural network model for several NLP tasks based on PyTorch and AllenNLP
Multi-Task Learning Framework on PyTorch. State-of-the-art methods are implemented to effectively train models on multiple tasks.
Android/iOS video player based on FFmpeg n3.4, with MediaCodec, VideoToolbox support.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.