DUSt3R: Geometric 3D Vision Made Easy

InstantSplat: Sparse-view SfM-free Gaussian Splatting in Seconds

A modern, high customizable, responsive Jekyll theme for documentation with built-in search.

[ICLR'23 Spotlight🔥] The first successful BERT/MAE-style pretraining on any convolutional network; Pytorch impl. of "Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling"

[NeurIPS 2024 Oral][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An *ultra-sim…

Official implementation of "Hydra: Bidirectional State Space Models Through Generalized Matrix Mixers"

Speech, Language, Audio, Music Processing with Large Language Model

搜索、推荐、广告、用增等工业界实践文章收集（来源：知乎、Datafuntalk、技术公众号）

[ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"

🚀 Power Your World with AI - Explore, Extend, Empower.

Quick implementation of nGPT, learning entirely on the hypersphere, from NvidiaAI

Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.

✨✨Latest Advances on Multimodal Large Language Models

[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.

Awesome-LLM: a curated list of Large Language Model

Multi-thread implementation of Factorization Machines with FTRL for binary-class classification problem.

总结梳理自然语言处理工程师(NLP)需要积累的各方面知识，包括面试题，各种基础知识，工程能力等等，提升核心竞争力

搜索引擎原理

The LLM Evaluation Framework

A one stop repository for generative AI research updates, interview resources, notebooks and much more!

A guideline for building practical production-level deep learning systems to be deployed in real world applications.

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

A method to increase the speed and lower the memory footprint of existing vision transformers.

A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"

Build and query dynamic, temporally-aware Knowledge Graphs

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

📚 AIGC 求职面经、必备基础知识、提示词工程、ChatGPT、Stable Diffusion、Prompt、Embedding、Fintune 等 AIGC 求职你所需要知道的一切~