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[EMNLP 2021] SimCSE: Simple Contrastive Learning of Sentence Embeddings https://arxiv.org/abs/2104.08821
A library for efficient similarity search and clustering of dense vectors.
All lecture notes, slides and assignments from CS224n: Natural Language Processing with Deep Learning class by Stanford
tensorboard for pytorch (and chainer, mxnet, numpy, ...)
Forte is a flexible and powerful ML workflow builder. This is part of the CASL project: http://casl-project.ai/
Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the CASL project: http://casl-project.ai/
Convolutional Neural Network for Text Classification in Tensorflow
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
An implementation of GloVe in TensorFlow
TOMM2020 Dual-Path Convolutional Image-Text Embedding with Instance Loss 🐾 https://arxiv.org/abs/1711.05535
Tree LSTM implementation in PyTorch
A Chinese sentiment dataset may be useful for sentiment analysis.
A curated list of resources for Chinese NLP 中文自然语言处理相关资料
A neural network model for Chinese named entity recognition
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
PyTorch RNNs on a toy example of translating between numbers in words and digits
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Pretrained is the most complete and frequently updated list of pretrained top-performing models. Tensorflow, Theano and others. Want to add your model? File an issue, and we will add it.
A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".
Python code for training all models in the ICLR paper, "Towards Universal Paraphrastic Sentence Embeddings". These models achieve strong performance on semantic similarity tasks without any trainin…
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date …
GRUV is a Python project for algorithmic music generation.
This is the code for "Generating Pokemon with a Generative Adversarial Network" by Siraj Raval on Youtube
AI Composer for Machine Learning for Hackers #2

