Alexander Visheratin's repositories
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.
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
chroma
the AI-native open-source embedding database
CLIP_benchmark
CLIP-like model evaluation
LLaVA
[NeurIPS'23 Oral] Visual Instruction Tuning: LLaVA (Large Language-and-Vision Assistant) built towards GPT-4V level capabilities.
newsroom
A simple, minimalistic Hugo theme. View Demo here
onnx-go
onnx-go gives the ability to import a pre-trained neural network within Go without being linked to a framework or library.
onnxruntime
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
open_clip
An open source implementation of CLIP.
parquet-go
Golang version of Read/Write parquet file
restorePhotos
Restoring old and blurry face photos with AI.