Course Materials Big Data and Automated Content Analysis

公众号《林骥》的文章和代码

Dynamic seq2seq in TensorFlow, step by step

🍣 Implementations of fundamental algorithms and data structures. Happy Hacktoberfest!

Unofficial implementation of 'Implicit Neural Representations with Periodic Activation Functions'

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

DL course co-developed by YSDA, HSE and Skoltech

Best Practices, code samples, and documentation for Computer Vision.

Notebook for comprehensive analysis of authors, organizations, and countries of ICML 2020 papers.

Tensorflow code for the Bayesian GAN (https://arxiv.org/abs/1705.09558) (NIPS 2017)

This toolbox is support material for the book on CNN (http://www.convolution.network).

Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding

Deep Neural Network Trading collection of Tensorflow Jupyter notebooks

🐍 Python visualization tools for openPMD files

Implementations of CNNs, RNNs, GANs, etc

Quilt is a self-organizing data hub for S3

🌻 提供一系列的 Python 教學，讓初學者或是有程式基礎的人，快速融入 Python 的世界

"Neural Turing Machine" in Tensorflow

We pit Keras and PyTorch against each other, showing their strengths and weaknesses in action. We present a real problem, a matter of life-and-death: distinguishing Aliens from Predators!