🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
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🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
:robot: :speech_balloon: Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)
TranslatedBook_4_"The Power of Matrices" | Iris Book: From Addition, Subtraction, Multiplication and Division to Machine Learning; now on sale!
Understanding Deep Learning - Simon J.D. Prince
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
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A Comprehensive Guide for Generative AI, Agentic AI, Multimodal AI, Physical AI Interviews. Proven Formula for multiple FAANG offers and more
A collection of pre-trained, state-of-the-art models in the ONNX format
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.
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TensorFlow Tutorials with YouTube Videos
TranslatedInterview = Resume Guide + Algorithm Problems + Standard Interview Q&A (八股文, "eight-legged essay") + Source Code Analysis
Lab Materials for MIT 6.S191: Introduction to Deep Learning
[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!
My blogs and code for machine learning. http://cnblogs.com/pinard
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
TranslatedLearn Python by writing code
TranslatedNotes on data science and collected materials
Zero-Shot Speech Editing and Text-to-Speech in the Wild
TranslatedBuild your neural network easy and fast, 莫烦Python (Morvan Python) Chinese teaching
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
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.