Melt's starred repositories
languagetool
Style and Grammar Checker for 25+ Languages
google-research
Google Research
EfficientSAM
EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything
calculate-flops.pytorch
The calflops is designed to calculate FLOPs、MACs and Parameters in all various neural networks, such as Linear、 CNN、 RNN、 GCN、Transformer(Bert、LlaMA etc Large Language Model)
GPT-SoVITS
1 min voice data can also be used to train a good TTS model! (few shot voice cloning)
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, ... 🧠
SimpleFPSTemplate
Simple C++ FPS Template for Unreal Engine
the-art-of-command-line
Master the command line, in one page
GroundingDINO
[ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"
Grounded-Segment-Anything
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
CLIP_benchmark
CLIP-like model evaluation
deformable-detr-annotations
一个deformable-detr的中文注释版本,供大家参考学习(A Chinese annotated version of deformable-detr)
DiffusionDet
[ICCV2023 Best Paper Finalist] PyTorch implementation of DiffusionDet (https://arxiv.org/abs/2211.09788)
yolov7-opencv-onnxrun-cpp-py
分别使用OpenCV、ONNXRuntime部署YOLOV7目标检测,一共包含14个onnx模型,依然是包含C++和Python两个版本的程序
objectdetection_script
一些关于目标检测的脚本的改进思路代码,详细请看readme.md