804 Open source projects that are alternatives of or similar to chainer-notebooks

텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다

Code lab for deep learning. Including rnn,seq2seq,word2vec,cross entropy,bidirectional rnn,convolution operation,pooling operation,InceptionV3,transfer learning.

RNN(LSTM, GRU) in Theano with mini-batch training; character-level language models in Theano

Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学

CS224n: Natural Language Processing with Deep Learning Assignments Winter, 2017

结合python一起学习自然语言处理 (nlp): 语言模型、HMM、PCFG、Word2vec、完形填空式阅读理解任务、朴素贝叶斯分类器、TFIDF、PCA、SVD

Mixing Dirichlet Topic Models and Word Embeddings to Make lda2vec from this paper https://arxiv.org/abs/1605.02019

language model in Chinese，基于Pytorch官方文档实现

Multiple implementations for abstractive text summurization , using google colab

Automatic Speech Recognition (ASR), Speaker Verification, Speech Synthesis, Text-to-Speech (TTS), Language Modelling, Singing Voice Synthesis (SVS), Voice Conversion (VC)

大规模中文自然语言处理语料 Large Scale Chinese Corpus for NLP

Assessing Source Code Semantic Similarity with Unsupervised Learning

Boilerplate code for quickly getting set up to run language modeling experiments

Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems

All about Neural Networks!

Porting of Skip-Thoughts pretrained models from Theano to PyTorch & Torch7

A fast implementation of Neural Image Caption by Chainer

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch. Based on code of https://github.com/karpathy/char-rnn. Support Chinese and other things.

基于Pytorch和torchtext的自然语言处理深度学习框架。

ChainerRL is a deep reinforcement learning library built on top of Chainer.

Language Modeling and Text Classification in Malayalam Language using ULMFiT

Word2Vec In Java (2013 google word2vec opensource)

Least Squares Generative Adversarial Network implemented in Chainer

Chinese Natural Language Correction via Language Model

NLP Predtrained Embeddings, Models and Datasets Collections(NLP_PEMDC). The collection will keep updating.

Character Embeddings Recurrent Neural Network Text Generation Models

An open source implementation of CLIP.

Code for the ICLR 2021 paper "A Distributional Approach to Controlled Text Generation"

Use word2vec to improve search result

Compact high quality word embeddings for Russian language

A variational implementation of classical and quantum annealing using recurrent neural networks for the purpose of solving optimization problems.

The official repository for our paper "Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks". We develop a method for analyzing emerging functional modularity in neural networks based on differentiable weight masks and use it to point out important issues in current-day neural networks.

A very simple, bare-bones, inefficient, implementation of skip-gram word2vec from scratch with Python

cRNN-GAN to generate music by training on instrumental music (midi)

wmd4j is a Java library for calculating Word Mover's Distance (WMD)

deep-learning platforms,framework,data（深度学习平台、框架、资料）

Personalized Query Completion

doc2vec , word2vec, implemented by golang. word embedding representation

Bu Uyghur yéziqini Pythonning gensim ambiridiki word2vec algorizimida sinap baqqan misal.

Pytorch Implementation of RL algorithms

Train LSTM to writer novel (HongLouMeng here) in Pytorch.

Useful resources for Mongolian NLP

Rust interface to word2vec.

A practical example on how to combine both a CNN and a RNN to classify images.

Code Generation as a Dual Task of Code Summarization.

中文文本分类实践，基于搜狗新闻语料库，采用传统机器学习方法以及预训练模型等方法

In these notebooks the entire research and implementation process carried out for the construction of various machine learning models based on neural networks that are capable of predicting levels of solar radiation is captured given a set of historical data taken by meteorological stations.

A Chainer implementation of Fast WaveNet(mel-spectrogram vocoder).

Speaker Diarization is the problem of separating speakers in an audio. There could be any number of speakers and final result should state when speaker starts and ends. In this project, we analyze given audio file with 2 channels and 2 speakers (on separate channels).

ICML'2022: Black-Box Tuning for Language-Model-as-a-Service

COLING'2020: CoLAKE: Contextualized Language and Knowledge Embedding

Deep Q-Learning (DQN) implementation for Atari pong.

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API for the GPT-J language model 🦜. Including a FastAPI backend and a streamlit frontend

Chainer implementation of Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

Sarcasm Detection for Sentiment Analysis

Curated list of all NLP Resources

Imageboard bot with recurrent neural network (RNN, GRU)

A personal semantic search engine capable of surfacing relevant bookmarks, journal entries, notes, blogs, contacts, and more, built on an efficient document embedding algorithm and Monocle's personal search index.

A framework for easy prototyping of distributed reinforcement learning algorithms