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ICON for in-context operator learning
Advanced Python Mastery (course by @dabeaz)
💻📖对开发人员有用的定律、理论、原则和模式。(Laws, Theories, Principles and Patterns that developers will find useful.)
程序员在家做饭方法指南。Programmer's guide about how to cook at home (Simplified Chinese only).
SIGGRAPH-style academic theme for Hugo, geared towards the showcase of research profile
Create Anki flashcards from the DW German lessons (Nicos Weg)
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
OpenMMLab Text Detection, Recognition and Understanding Toolbox
Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
[IJCV 2022] Bridging Composite and Real: Towards End-to-end Deep Image Matting
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
OpenMMLab Video Perception Toolbox. It supports Video Object Detection (VID), Multiple Object Tracking (MOT), Single Object Tracking (SOT), Video Instance Segmentation (VIS) with a unified framework.
Recovers passwords from pixelized screenshots
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
A complete computer science study plan to become a software engineer.
Jittor is a high-performance deep learning framework based on JIT compiling and meta-operators.
Google Research
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Common used path planning algorithms with animations.
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
Geometric Computer Vision Library for Spatial AI
An open-source NLP research library, built on PyTorch.