Pinned Repositories
AI_Projects
从2019年4月起完成的各种人工智能相关工程
AiLearning
AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
Augmentor
Image augmentation library in Python for machine learning.
awesome-awesomeness
A curated list of awesome awesomeness
Awesome-pytorch-list
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
baby-llama2-chinese
用于从头预训练+SFT一个小参数量的中文LLaMa2的仓库；24G单卡即可运行得到一个具备简单中文问答能力的chat-llama2.
CDial-GPT
A Large-scale Chinese Short-Text Conversation Dataset and Chinese pre-training dialog models
Cough_Recognition
Cough_Recognition_Based_On_Mel_Spectrogram_and_CNN
Deep-learning-in-PHM
Deep learning in PHM，Deep learning in fault diagnosis，Deep learning in remaining useful life prediction
deeplearning-models
A collection of various deep learning architectures, models, and tips
ZQFORWARD's Repositories
ZQFORWARD/deeplearning-models
A collection of various deep learning architectures, models, and tips
ZQFORWARD/pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
ZQFORWARD/reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
ZQFORWARD/PyTorchZeroToAll
Simple PyTorch Tutorials Zero to ALL!
ZQFORWARD/deeplearningbook-chinese
Deep Learning Book Chinese Translation
ZQFORWARD/pretrained-models.pytorch
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
ZQFORWARD/nupic
Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of intelligence based strictly on the neuroscience of the neocortex.
ZQFORWARD/TCN
Sequence modeling benchmarks and temporal convolutional networks
ZQFORWARD/ML-Tutorial-Experiment
Coding the Machine Learning Tutorial for Learning to Learn
ZQFORWARD/Machine-learning-learning-notes
周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！
ZQFORWARD/train_cnn-rnn-attention
cnn+rnn+attention: vgg(vgg16,vgg19)+rnn(LSTM, GRU)+attention, resnet(resnet_v2_50,resnet_v2_101,resnet_v2_152)+rnnrnn(LSTM, GRU)+attention, inception_v4+rnn(LSTM, GRU)+attention, inception_resnet_v2+rnn(LSTM, GRU)+attention,.....
ZQFORWARD/friendly-fortnight
:wolf: K-Means Clustering using Python from Scratch :mushroom:
ZQFORWARD/numenta-apps
HTM based applications and support libraries. Includes HTM for Stocks (code name "Taurus") and HTM Studio (code name "Unicorn").