ckqsars

ckqsars

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AlphaZero_Gomoku

An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)

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awesome-question-answering

Resources, datasets, papers on Question Answering

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CapsNet-Tensorflow

A Tensorflow implementation of CapsNet(Capsules Net) in Hinton's paper Dynamic Routing Between Capsules

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CLIP

Contrastive Language-Image Pretraining

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cnn-text-classification

基于卷积神经网络参数优化的情感分析论文code

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Deep-Learning-21-Examples

《21个项目玩转深度学习———基于TensorFlow的实践详解》配套代码

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deep-rl-tensorflow

TensorFlow implementation of Deep Reinforcement Learning papers

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DQN-tensorflow

Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning

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eastmoney

a project of stock

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higher-oreder

use the motif and bipartite

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kdd_2017

competition

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keyword_extraction

use PCA on co_word keyword extraction

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Langchain-Chatchat

Langchain-Chatchat(原Langchain-ChatGLM)基于 Langchain 与 ChatGLM 等语言模型的本地知识库问答 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM) QA app with langchain

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MAG

some analyse on MAG data

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Mask_RCNN

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

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metacar

A reinforcement learning environment for self-driving cars in the browser.

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models

Models and examples built with TensorFlow

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MultiTaskLearning

Package to apply MTL on a few dataset

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mutil_task

some test on muitl_task

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OpenNRE

Neural Relation Extraction implemented in TensorFlow

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PyMTL

PyMTL (Python library for Multi-task learning) is a Python module implementing a Multi-task learning framework built on top of scikit-learn, SciPy and NumPy.

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PyTorch-NLP

Supporting Rapid Prototyping with a Toolkit (incl. Datasets and Neural Network Layers)

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reinforcement-learning-an-introduction

Python implementation of Reinforcement Learning: An Introduction

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RLSeq2Seq

Deep Reinforcement Learning For Sequence to Sequence Models

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RNN_Text_Classify

Text classification using LSTM

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yoloair

🔥🔥🔥YOLOv5, YOLOv7, Transformer, YOLOX, YOLOR , YOLOv3, YOLOv4 and other networks... Support to improve backbone, head, loss, IoU, NMS...The original version was created based on YOLOv5

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yolov7

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

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zhihu

知乎专栏源码

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