An unnecessarily tiny implementation of GPT-2 in NumPy.

The simplest, fastest repository for training/finetuning medium-sized GPTs.

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.

llm-export can export llm model to onnx.

An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm.

Get up and running with Llama 3.2, Mistral, Gemma 2, and other large language models.

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

Implementation of popular deep learning networks with TensorRT network definition API

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

A list of AI autonomous agents

📄 适合中文的简历模板收集（LaTeX，HTML/JS and so on）由 @hoochanlon 维护

A modern Neovim configuration with full battery for Python, Lua, C++, Markdown, LaTeX, and more...

🌕 [ICCV 2021] Multitask AET with Orthogonal Tangent Regularity for Dark Object Detection. A self-supervised learning way for low-light image object detection.

A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python

Curated list of project-based tutorials

A generic makefile for use with small/medium C and C++ projects.

CVPR 2024 论文和开源项目合集

Code for our CVPR2021 paper coordinate attention

The official Meta Llama 3 GitHub site

1 min voice data can also be used to train a good TTS model! (few shot voice cloning)

A generative speech model for daily dialogue.

Painter & SegGPT Series: Vision Foundation Models from BAAI

Ready-to-use SRT / WebRTC / RTSP / RTMP / LL-HLS media server and media proxy that allows to read, publish, proxy, record and playback video and audio streams.

ICCV 2023 Papers: Discover cutting-edge research from ICCV 2023, the leading computer vision conference. Stay updated on the latest in computer vision and deep learning, with code included. ⭐ suppo…

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

[IJCV-2021] FairMOT: On the Fairness of Detection and Re-Identification in Multi-Object Tracking

A playbook for systematically maximizing the performance of deep learning models.

一本系统地教你将深度学习模型的性能最大化的战术手册。

YOLOv10: Real-Time End-to-End Object Detection [NeurIPS 2024]