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cfnet

(CVPR'17) Training a Correlation Filter end-to-end allows lightweight networks of 2 layers (600 kB) to achieve state-of-the-art performance in tracking, at high-speed.

cfrnet

Counterfactual Regression

chainer

A flexible framework of neural networks for deep learning

chainer-bicyclegan

Chainer implementation of "Toward Multimodal Image-to-Image Translation".

chainer-cyclegan

Chainer implementation of "Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Network".

chainer-doc2vec

A Chainer implementation of doc2vec

chainer-gan-lib

Chainer implementation of recent GAN variants

chainer-gogh

chainer-openai-transformer-lm

A Chainer implementation of OpenAI's finetuned transformer language model with a script to import the weights pre-trained by OpenAI

chainer_mask_r-cnn

Implementation of Mask R-CNN in Chainer

chainerrl

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

chainrec

Mengting Wan, Julian McAuley, "Item Recommendation on Monotonic Behavior Chains", in Proc. of 2018 ACM Conference on Recommender Systems (RecSys'18), Vancouver, Canada, Oct. 2018.

chalet

Cornell House Agent Learning Environment

chameleon_recsys

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

channel-pruning

Channel Pruning for Accelerating Very Deep Neural Networks

channel_prune

Base to channel pruned to ResNet18 model

char-embeddings

A repository containing 300D character embeddings derived from the GloVe 840B/300D dataset, and uses these embeddings to train a deep learning model to generate Magic: The Gathering cards using Keras

char-level-neural-machine-translation-using-attention-mechanism

Implementation of Character level NMT(Neural Machine Translation) using RNN and Attention Wrapper

char-rnn

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

char-rnn-pytorch

使用PyTorch实现Char RNN生成古诗和周杰伦的歌词

char-rnn-tensorflow

Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow

character-based-cnn

Implementation of character based convolutional neural network

character-interaction-visualization

characterbert-dr

The offcial repository for 'CharacterBERT and Self-Teaching for Improving the Robustness of Dense Retrievers on Queries with Typos', SIGIR2022

charades-webcam

Real-time smart webcam in TensorFlow trained on the Charades dataset

charagram

Code to train and use models from "Charagram: Embedding Words and Sentences via Character n-grams".

charcnn

chart

TradingView chart implementation for React using Cryptocompare websocket API

chartify

Python library that makes it easy for data scientists to create charts.

charting-library-examples

Examples of Charting Library integrations with other libraries, frameworks and data transports