Repository Index

Understanding Deep Learning - Simon J.D. Prince

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 Comprehensive Guide for Generative AI, Agentic AI, Multimodal AI, Physical AI Interviews. Proven Formula for multiple FAANG offers and more

• machine-learning
• machine-learning-algorithms
• ai
• deep-learning

A collection of pre-trained, state-of-the-art models in the ONNX format

• onnx
• models
• download
• pretrained

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

Automatic extraction of relevant features from time series:

• data-science
• feature-extraction
• time-series

TensorFlow Tutorials with YouTube Videos

• tensorflow
• deep-learning
• machine-learning
• reinforcement-learning

TranslatedInterview = Resume Guide + Algorithm Problems + Standard Interview Q&A (八股文, "eight-legged essay") + Source Code Analysis

• python
• kaggle
• machine-learning
• leetcode

Lab Materials for MIT 6.S191: Introduction to Deep Learning

• mit
• deep-learning
• neural-networks
• tensorflow

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

[NeurIPS 2024 Best Paper Award][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An *ultra-simple, user-friendly yet state-of-the-art* codebase for autoregressive image generation!

• auto-regressive-model
• diffusion-models
• image-generation
• transformers

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).

TranslatedBuild your neural network easy and fast, 莫烦Python (Morvan Python) Chinese teaching

• neural-network
• python
• pytorch-tutorial
• batch-normalization

Notebooks and code for the book "Introduction to Machine Learning with Python"

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

Image restoration with neural networks but without learning.

Evidently is ​​an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

• data-drift
• jupyter-notebook
• pandas-dataframe
• machine-learning

Sample code for Channel 9 Python for Beginners course

22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts to advanced strategies for leveraging LLMs.

• ai
• prompt-engineering
• tutorials
• llms

Playing Pokemon Red with Reinforcement Learning

A series of large language models trained from scratch by developers @01-ai

• large-language-models