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advanced-python-for-cybersecurity

albert

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

albert_zh

A LITE BERT FOR SELF-SUPERVISED LEARNING OF LANGUAGE REPRESENTATIONS, 海量中文预训练ALBERT模型

blackeye

The ultimate phishing tool with 38 websites available!

brew

🍺 The missing package manager for macOS (or Linux)

causaldiscoverytoolbox

Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.

causalml

Uplift modeling and causal inference with machine learning algorithms

codeformer

[NeurIPS 2022] Towards Robust Blind Face Restoration with Codebook Lookup Transformer

cyberbattlesim

An experimentation and research platform to investigate the interaction of automated agents in an abstract simulated network environments.

deep-forest

An implementation of Deep Forest 2021.2.1.

deeplearning

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

dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

fgo-multi-task-keras

multiclass classification example using keras and fgo

for_fun

4fun

generative_ai_llms

Generative AI with Large Language Models on Coursera offered by Deeplearning.AI and AWS.

ghm_loss

The tensorflow implementation of GHM loss include class loss and regression loss. GHM loss is peoposed in "Gradient Harmonized Single-stage Detector" published on AAAI 2019 (Oral).

impersonator

PyTorch implementation of our ICCV 2019 paper: Liquid Warping GAN: A Unified Framework for Human Motion Imitation, Appearance Transfer and Novel View Synthesis

interpretable-ml-book

Book about interpretable machine learning

just-do-it

first one

keras-attention-mechanism

Attention mechanism Implementation for Keras.

learn-regex

Learn regex the easy way

mathematics-for-machine-learning-and-data-science-specialization

Master the Toolkit of AI and Machine Learning. Mathematics for Machine Learning and Data Science is a beginner-friendly Specialization where you’ll learn the fundamental mathematics toolkit of machine learning: calculus, linear algebra, statistics, and probability.

monotonic-woe-binning-algorithm

Python package that optimizes information value, weight-of-evidence monotonicity and representativeness of features for credit scorecard models (pip install monotonic-binning)

openbilibili-go-common

嘘，不要问！我也不清楚这些是啥…

reinforcement-learning-specialization

[Coursera] Reinforcement Learning Specialization by "University of Alberta" & "Alberta Machine Intelligence Institute"

scorecardpy

Scorecard Development in python, 评分卡

shap

A unified approach to explain the output of any machine learning model.

tensorflow-ghm-loss

The unofficial tensorflow implementation of loss weights of in "Gradient Harmonized Single-stage Detector" published on AAAI 2019 (Oral). With Colab.

text-generation-webui-colab

A colab gradio web UI for running Large Language Models

twitter-the-algorithm

Source code for Twitter's Recommendation Algorithm