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[CVPR 2023] Towards Any Structural Pruning; LLMs / SAM / Diffusion / Transformers / YOLOv8 / CNNs
A curated publication list on open vocabulary semantic segmentation and related area (e.g. zero-shot semantic segmentation) resources..
This repository is for the first comprehensive survey on Meta AI's Segment Anything Model (SAM).
Synthesizing Graphics Programs for Scientific Figures and Sketches with TikZ
The Triton Inference Server provides an optimized cloud and edge inferencing solution.
🛰️ An approximate nearest-neighbor search library for Python and Java with a focus on ease of use, simplicity, and deployability.
An easy to use PyTorch to TensorRT converter
静默活体检测(Silent-Face-Anti-Spoofing)
Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.
flake8 is a python tool that glues together pycodestyle, pyflakes, mccabe, and third-party plugins to check the style and quality of some python code.
A lightweight and high-performance reverse proxy for NAT traversal, written in Rust. An alternative to frp and ngrok.
Master programming by recreating your favorite technologies from scratch.
Curated list of design and UI resources from stock photos, web templates, CSS frameworks, UI libraries, tools and much more
Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
🦊 I respect proton UI and aim to improve it.
🔴 MiniSom is a minimalistic implementation of the Self Organizing Maps
Collection of the latest, greatest, deep learning optimizers (for Pytorch) - CNN, NLP suitable
ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning
Course material for datascienceretreat.com
This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow
A lightweight, object-oriented finite state machine implementation in Python with many extensions
A complete computer science study plan to become a software engineer.
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!