james-fu

big_data_analytics_for_healthcare

CS7646

deeplearning.ai

Maybe the most detailed records and programming task of Andrew Ng's course on Coursera

machine_learning_examples

A collection of machine learning examples and tutorials.

streetview_cnn

SVHN detection & classification using VGG-16 convolutional neural network in keras

james-fu/AdvBox

Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and Advbox can benchmark the robustness of machine learning models. Advbox give a command line tool to generate adversarial examples with Zero-Coding.

james-fu/alibi-detect

Algorithms for outlier detection, concept drift and metrics.

james-fu/anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

james-fu/AutoPhrase

AutoPhrase: Automated Phrase Mining from Massive Text Corpora

james-fu/awesome-2vec

Curated list of 2vec-type embedding models

james-fu/awesome-scalability

The Patterns of Scalable, Reliable, and Performant Large-Scale Systems

james-fu/blockchain

A simple Blockchain in Python

james-fu/book-of-qna-code

code collections for the book of qna

james-fu/ColossalAI

Colossal-AI: A Unified Deep Learning System for Big Model Era

james-fu/ColossalAI-Examples

Examples of training models with hybrid parallelism using ColossalAI

james-fu/computer-science

:mortar_board: Path to a free self-taught education in Computer Science!

james-fu/cs228-notes

Course notes for CS228: Probabilistic Graphical Models.

james-fu/d2l-pytorch

This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.

james-fu/Deep-Learning-with-TensorFlow-book

深度学习开源书，基于TensorFlow 2.0实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

james-fu/Deep-Live-Cam

real time face swap and one-click video deepfake with only a single image (uncensored)

james-fu/deequ

Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.

james-fu/great_expectations

Always know what to expect from your data.

james-fu/incubator-superset

Apache Superset (incubating) is a modern, enterprise-ready business intelligence web application

james-fu/interpretable_machine_learning_with_python

Practical techniques for training interpretable ML models, explaining ML models, and debugging ML models.

james-fu/Learn-Web-Hacking

Study Notes For Web Hacking / Web安全学习笔记

james-fu/LeetCodeAnimation

Demonstrate all the questions on LeetCode in the form of animation.（用动画的形式呈现解LeetCode题目的思路）

james-fu/machine-learning-systems-design

A booklet on machine learning systems design with exercises

james-fu/metaseq

Repo for external large-scale work

james-fu/nlp-roadmap

ROADMAP(Mind Map) and KEYWORD for students those who have interest in learning NLP

james-fu/pandas-profiling

Create HTML profiling reports from pandas DataFrame objects

james-fu/Production-Level-Deep-Learning

A guideline for building practical production-level deep learning systems to be deployed in real world applications.

james-fu/seq2seq-web-attack-detection

The implementation of the Seq2Seq model for web attack detection. The Seq2Seq model is usually used in Neural Machine Translation. The main goal of this project is to demonstrate the relevance of the NLP approach for web security.

james-fu/text_mining_resources

Resources for learning about Text Mining and Natural Language Processing

james-fu/transformers

🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.

james-fu/XAI-papers