FL77N's repositories
AlexNet-Prod
Reproduction process of AlexNet
lite.ai.toolkit
🍅🍅A lite C++ toolkit of awesome AI models with ONNXRuntime, NCNN, MNN and TNN. YOLOX, YOLOP, YOLOv5, YOLOR, NanoDet, YOLOX, SCRFD, YOLOX. MNN, NCNN, TNN, ONNXRuntime, CPU/GPU ...
mmdetection
OpenMMLab Detection Toolbox and Benchmark
Awesome-Anything
General AI methods for Anything: AnyObject, AnyGeneration, AnyModel, AnyTask, AnyX
awesome-RLHF
A curated list of reinforcement learning with human feedback resources (continually updated)
awesome-segment-anything
Tracking and collecting papers/projects/others related to Segment Anything.
blinkfox
这是关于我的自述仓库。
Chinese-LLaMA-Alpaca
中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)
DeepLearing-Interview-Awesome-2024
We'll cover some of the most common Deep Learning Interview Questions and answers and provide detailed answers to help you
Grounded-Segment-Anything
Marrying Grounding DINO with Segment Anything & Stable Diffusion & Tag2Text & BLIP & Whisper & ChatBot - Automatically Detect , Segment and Generate Anything with Image, Text, and Audio Inputs
Inpaint-Anything
Inpaint anything using Segment Anything and inpainting models.
LLM-Adapters
LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models
llm.c
LLM training in simple, raw C/CUDA
Medusa
Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads
ml-visuals
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
MQBench
Model Quantization Benchmark
recommendation_advertisement_search
整理自然语言处理、推荐系统、搜索引擎等AI领域的入门笔记，论文学习笔记和面试资料（关于NLP那些你不知道的事、关于推荐系统那些你不知道的事、NLP百面百搭、推荐系统百面百搭、搜索引擎百面百搭）
RES-Interview-Notes
该仓库主要记录 推荐系统 算法工程师相关的面试题
segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
stable-diffusion
A latent text-to-image diffusion model
YOLOv6
YOLOv6: a single-stage object detection framework dedicated to industrial applications.
yolov7
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
YOLOX
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/