Repository Index

TranslatedConvert AI papers to GUI，Make it easy and convenient for everyone to use artificial intelligence technology。

• dain
• huoshan-tts
• microsoft-tts
• rife-gui

Translated🌊Deeply integrates top global academic, financial, and educational resources: the academic section gathers papers from authoritative platforms such as JSTOR, Taylor & Francis, and Cambridge University Press, and connects to the vast e-book collection of the Z-Library shadow library; the education section includes textbooks from Hong Kong and Singapore, from primary school through high school, as well as university subject textbooks; the financial section aggregates in-depth research reports from top institutions such as Citron (香橼), Morgan, and Nomura, all in order to break down information silos and build an inclusive knowledge base that provides equal access to knowledge.

• academic
• economics
• humanities
• research

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

• machine-learning
• python
• data-science
• automl

A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like RF-DETR, YOLO11, SAM 3, and Qwen3-VL.

• computer-vision
• deep-learning
• deep-neural-networks
• image-classification

My blogs and code for machine learning. http://cnblogs.com/pinard

• machinelearning
• algorithms
• scikit-learn
• reinforcementlearning

Labs and demos for courses for GCP Training (http://cloud.google.com/training).

Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG

• andrew-ng
• andrew-ng-machine-learning
• coursera
• coursera-assignment

Code samples used on cloud.google.com

• python
• samples

Flax is a neural network library for JAX that is designed for flexibility.

• jax

Repository to store sample python programs for python learning

• python
• pandas
• pandas-dataframe
• pandas-tutorial

Python code for "Probabilistic Machine learning" book by Kevin Murphy

• jupyter-notebooks
• machine-learning
• colab
• pml

TranslatedAI in Practice - practicalAI, Chinese version

• machine-learning
• jupyter-notebook
• pytorch
• google-colab-notebook

Simple tutorials using Google's TensorFlow Framework

Automatic Speech Recognition with Speaker Diarization based on OpenAI Whisper

• asr
• speaker-diarization
• speech
• speech-recognition

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

• deep-learning
• neural-network
• convolutional-networks
• pytorch

Create delightful software with Jupyter Notebooks

• jupyter-notebooks
• python
• literate-programming
• fastai

Repo for the Deep Reinforcement Learning Nanodegree program

• deep-reinforcement-learning
• reinforcement-learning
• reinforcement-learning-algorithms
• neural-networks

Translated🎓 Academic portfolio that boosts citations. AI generates pages, you own as Markdown. BibTeX auto-import, Jupyter, LaTeX, slides, visual block editor — free to host forever. Academic homepage, AI-generated, Markdown-owned 👇

• hugo
• website-generation
• academic
• netlify

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

• machine-learning
• economics
• causal-inference
• causality

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

• bayesian-methods
• deep-learning
• machine-learning
• data-science

JAX implementation of OpenAI's Whisper model for up to 70x speed-up on TPU.

• deep-learning
• jax
• speech-recognition
• speech-to-text

Python code for common Machine Learning Algorithms

• linear-regression
• polynomial-regression
• logistic-regression
• decision-trees

Probabilistic reasoning and statistical analysis in TensorFlow

• tensorflow
• bayesian-methods
• deep-learning
• machine-learning

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

• tensorflow
• machine-learning
• regression
• convolutional-neural-networks