Pinned Repositories
Academic-project-page-template
A project page template for academic papers. Demo at https://eliahuhorwitz.github.io/Academic-project-page-template/
Awesome-Remote-Sensing-Foundation-Models
chumeng.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
ColossalAI
Colossal-AI: A Unified Deep Learning System for Big Model Era
NExT-ChatV.github.io
The project page for the paper "NExT-Chat: An LMM for Chat, Detection and Segmentation".
researchera
This is a test
tianxiazuicai
test
TruemanV5
Config files for my GitHub profile.
VIT-fine-tuning-with-ColossalAI-by-CM
This is a reproducing of the ViT example from ColossalAI. I use two size (224 and 384) with different training strategy("torch_ddp"/"torch_ddp_fp16"/"low_level_zero"/"gemini").
yolov5
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
TruemanV5's Repositories
TruemanV5/Academic-project-page-template
A project page template for academic papers. Demo at https://eliahuhorwitz.github.io/Academic-project-page-template/
TruemanV5/Awesome-Remote-Sensing-Foundation-Models
TruemanV5/ColossalAI
Colossal-AI: A Unified Deep Learning System for Big Model Era
TruemanV5/NExT-ChatV.github.io
The project page for the paper "NExT-Chat: An LMM for Chat, Detection and Segmentation".
TruemanV5/researchera
This is a test
TruemanV5/tianxiazuicai
test
TruemanV5/TruemanV5
Config files for my GitHub profile.
TruemanV5/VIT-fine-tuning-with-ColossalAI-by-CM
This is a reproducing of the ViT example from ColossalAI. I use two size (224 and 384) with different training strategy("torch_ddp"/"torch_ddp_fp16"/"low_level_zero"/"gemini").
TruemanV5/yolov5
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
TruemanV5/Person_reID_baseline_pytorch
:bouncing_ball_person: Pytorch ReID: A tiny, friendly, strong pytorch implement of person re-id / vehicle re-id baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial
TruemanV5/Truemankkk.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes