- 🔭 I just started in artifitial inteligence 2019
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aliper96 Goto Github PK
Type: User
aliper96's Projects
alihamza
aliper96
aliper96.github.io
aliperml
annotated-transformer
An annotated implementation of the Transformer paper.
bestaugmentator
celebamask-hq
A large-scale face dataset for face parsing, recognition, generation and editing.
coco_yolo
detr
End-to-End Object Detection with Transformers
gangealing
Official PyTorch Implementation of GAN-Supervised Dense Visual Alignment (CVPR 2022 Oral)
gpen
hands-on-image-generation-with-tensorflow-2.0
Hands-On Image Generation with TensorFlow 2.0, published by Packt
inpaint-ios
A free and open-source inpainting app powered by coreml on iPhone / iPad / MacBook with M CPU.
inpainting-review
Paper, code, pretained model for mainstream inpainting methods since 2000
iopaint
Image inpainting tool powered by SOTA AI Model. Remove any unwanted object, defect, people from your pictures or erase and replace(powered by stable diffusion) any thing on your pictures.
iotpos
IotPOS, an open source Point of Sale software.
lama
🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
latent-diffusion
High-Resolution Image Synthesis with Latent Diffusion Models
llama
Inference code for LLaMA models
llama-adapter
Fine-tuning LLaMA to follow Instructions within 1 Hour and 1.2M Parameters
llama.cpp
Port of Facebook's LLaMA model in C/C++
machine-learning-collection
A resource for learning about ML, DL, PyTorch and TensorFlow. Feedback always appreciated :)
maeautoencoder
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
meta-detr
Meta-DETR: Official PyTorch Implementation
myml
npl_transformers
pydata
Accompanying notebook and sources to "A Guide to Pseudolabelling: How to get a Kaggle medal with only one model" (Dec. 2020 PyData Boston-Cambridge Keynote)
python_for_microscopists
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
retinal-vessel-segmentation
Retinal Vessel Segmentation using U-Net architecture. DRIVE and STARE datasets are used.
sisweb
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