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X.ai's Projects

cgprt icon cgprt

Cascade Gaussian Process Regression Trees

char-rnn icon char-rnn

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

cheatsheets-ai icon cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers

cnn-lstm-caption-generator icon cnn-lstm-caption-generator

A Tensorflow implementation of CNN-LSTM image caption generator architecture that achieves close to state-of-the-art results on the MSCOCO dataset.

coach icon coach

Reinforcement Learning Coach by Intel® Nervana™ enables easy experimentation with state of the art Reinforcement Learning algorithms

cocoapi icon cocoapi

COCO API - Dataset @ http://cocodataset.org/

complex-yolov4-pytorch icon complex-yolov4-pytorch

The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds"

convnetjs icon convnetjs

Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.

coursera-deep-learning-specialization icon coursera-deep-learning-specialization

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks;

cpr icon cpr

Cascade pose regression

curl icon curl

CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning

cvpr-2019-paper-statistics icon cvpr-2019-paper-statistics

Statistics and Visualization of acceptance rate, main keyword of CVPR 2019 accepted papers for the main Computer Vision conference (CVPR)

cvpr-2020-paper-statistics icon cvpr-2020-paper-statistics

Statistics and Visualization of acceptance rate, main keyword of CVPR 2020 accepted papers for the main Computer Vision conference (CVPR)

cvt icon cvt

This is an official implementation of CvT: Introducing Convolutions to Vision Transformers.

d2l-zh icon d2l-zh

《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被60个国家的400所大学用于教学。

danet icon danet

Dual Attention Network for Scene Segmentation (CVPR2019)

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