Pinned Repositories
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's Repositories
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