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junzh821's Projects

awesome-nlp icon awesome-nlp

:book: A curated list of resources dedicated to Natural Language Processing (NLP)

awesome-rnn icon awesome-rnn

Recurrent Neural Network - A curated list of resources dedicated to RNN

best_ai_papers_2021 icon best_ai_papers_2021

A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code. [work in progress]

cats-vs-dogs-cnn-using-keras- icon cats-vs-dogs-cnn-using-keras-

The training set consisted of 25,000 images out of which 5,000 images were taken out as validation data. Separate test data folder consisted of 12,500 images for which the labels were predicted using trained model. My work includes preprocessing for model, Data augmentation to prevent overfitting, callbacks in keras to reduce learning rate timely, various CNN architecture trials with different layers and hyperparameters for best fit and learning curve wrt epochs. I gained a validation accuracy of 87.15 % without using any pretrained imagenet models . VGG-16 gave around 89 % as validation accuracy.

cdcs icon cdcs

Chinese Data Competitions' Solutions

checklist icon checklist

Beyond Accuracy: Behavioral Testing of NLP models with CheckList

chinese-llama-alpaca icon chinese-llama-alpaca

中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)

data-science-ipython-notebooks icon data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

deep-learning-drizzle icon deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

deep_learning icon deep_learning

Deep Learning Resources and Tutorials using Keras and Lasagne

deeplearning icon deeplearning

深度学习入门教程, 优秀文章, Deep Learning Tutorial

deeplearning-500-questions icon deeplearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为15个章节,近20万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06

deepnlp icon deepnlp

Deep Learning NLP Pipeline implemented on Tensorflow

detect-lstm-model icon detect-lstm-model

深度学习 检测异常 URL | Request (比较 Bi-LSTM、Bi-LSTM + CNN、CNN + Bi-LSTM、Bi-LSTM + Attention、CNN + Bi-LSTM + CNN 模型)

dgl icon dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

dig icon dig

A library for graph deep learning research

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