airhors

Macaw-LLM-

Macaw-LLM: Multi-Modal Language Modeling with Image, Video, Audio, and Text Integration

sample-notebooks

AI 看新聞

annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

AutoDL

Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.

AutoLabelMe

use DL model automatically label image

AutoPoseMapper

Awesome-LLMs-for-Video-Understanding

🔥🔥🔥Latest Papers, Codes and Datasets on Vid-LLMs.

ByteTrack

[ECCV 2022] ByteTrack: Multi-Object Tracking by Associating Every Detection Box

chatgpt-api

封装 OpenAI 网页版最新 ChatGPT 接口, 不需要使用 API Key, 完全免费

deep-person-reid

Torchreid: Deep learning person re-identification in PyTorch.

deep_sort

Simple Online Realtime Tracking with a Deep Association Metric

Devon

Devon: An open-source pair programmer

HorseRacePrediction

Using machine learning models to predict the outcome of a horse race, and run backtesting to see if we can profit from betting

IdealGPT-

Official Code of IdealGPT

MiniGPT4-video

Official code for MiniGPT4-video

mmdetection

OpenMMLab Detection Toolbox and Benchmark

mmyolo

OpenMMLab YOLO series toolbox and benchmark

Multimodal-Recommendation-with-Large-Vision-Language-Models

PINTO_model_zoo-

A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.

Python-100-Days

Python - 100天从新手到大师

self_llm-automl

基于AutoDL快速部署开源大模型，更适合**宝宝的部署教程

sleap

A Bonsai interface for real-time multi-animal pose tracking using SLEAP

sleap-

A deep learning framework for multi-animal pose tracking.

Video-ChatGPT

"Video-ChatGPT" is a video conversation model capable of generating meaningful conversation about videos. It combines the capabilities of LLMs with a pretrained visual encoder adapted for spatiotemporal video representation. We also introduce a rigorous 'Quantitative Evaluation Benchmarking' for video-based conversational models.

Video-LLaMA-

[EMNLP 2023 Demo] Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding

Video_Point_Tracking_SIFT

Tracking Keypoints in Video using SIFT and OpenCV. 可惜是單目標跟蹤

viper-Python-

Code for the paper "ViperGPT: Visual Inference via Python Execution for Reasoning"

VisionLLM-

VisionLLM: Large Language Model is also an Open-Ended Decoder for Vision-Centric Tasks

visprog-

Official code for VisProg (CVPR 2023 Best Paper!)

yolov9

Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information