Mikhail Antonenka (anmikh)

anmikh

Geek Repo

Company:@pinterest

Location:Warsaw

Github PK Tool:Github PK Tool

Mikhail Antonenka's starred repositories

llm.c

LLM training in simple, raw C/CUDA

Language:CudaLicense:MITStargazers:23891Issues:0Issues:0

tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

License:NOASSERTIONStargazers:26686Issues:0Issues:0

LaViLa

Code release for "Learning Video Representations from Large Language Models"

Language:PythonLicense:MITStargazers:484Issues:0Issues:0

blad

Official Implementation of "Box-Level Active Detection (CVPR2023 highlight)"

Language:PythonStargazers:22Issues:0Issues:0

PPAL

[CVPR 2024] Plug and Play Active Learning for Object Detection

Language:PythonLicense:Apache-2.0Stargazers:81Issues:0Issues:0
Language:PythonLicense:NOASSERTIONStargazers:18Issues:0Issues:0

MI-AOD

Code for Multiple Instance Active Learning for Object Detection, CVPR 2021

Language:PythonLicense:Apache-2.0Stargazers:332Issues:0Issues:0

baal

Bayesian active learning library for research and industrial usecases.

Language:PythonLicense:Apache-2.0Stargazers:862Issues:0Issues:0

boxmot

BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models

Language:PythonLicense:AGPL-3.0Stargazers:6630Issues:0Issues:0
Language:PythonLicense:Apache-2.0Stargazers:2123Issues:0Issues:0

awesome-system-design

A curated list of awesome System Design (A.K.A. Distributed Systems) resources.

License:CC0-1.0Stargazers:9533Issues:0Issues:0

Grounded-Segment-Anything

Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:14906Issues:0Issues:0

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.

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:47046Issues:0Issues:0

Simd

C++ image processing and machine learning library with using of SIMD: SSE, AVX, AVX-512, AMX for x86/x64, VMX(Altivec) and VSX(Power7) for PowerPC, NEON for ARM.

Language:C++License:MITStargazers:2049Issues:0Issues:0

pytorch-quantization-workshop

Code for a workshop hosted at the MLOps World Summit '22

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:16Issues:0Issues:0

ultralytics

Ultralytics YOLO11 🚀

Language:PythonLicense:AGPL-3.0Stargazers:30048Issues:0Issues:0

nanoGPT

The simplest, fastest repository for training/finetuning medium-sized GPTs.

Language:PythonLicense:MITStargazers:36620Issues:0Issues:0

Paint-by-Example

Paint by Example: Exemplar-based Image Editing with Diffusion Models

Language:PythonLicense:NOASSERTIONStargazers:1086Issues:0Issues:0

tet

Implementation of Tracking Every Thing in the Wild, ECCV 2022

Language:PythonLicense:Apache-2.0Stargazers:93Issues:0Issues:0

blended-latent-diffusion

Official implementation for "Blended Latent Diffusion" [SIGGRAPH 2023]

Language:Jupyter NotebookLicense:MITStargazers:557Issues:0Issues:0

DiffusionDet

[ICCV2023 Best Paper Finalist] PyTorch implementation of DiffusionDet (https://arxiv.org/abs/2211.09788)

Language:PythonLicense:NOASSERTIONStargazers:2073Issues:0Issues:0

MOTRv2

[CVPR2023] MOTRv2: Bootstrapping End-to-End Multi-Object Tracking by Pretrained Object Detectors

Language:PythonLicense:NOASSERTIONStargazers:364Issues:0Issues:0

UnstableFusion

A Stable Diffusion desktop frontend with inpainting, img2img and more!

Language:Jupyter NotebookLicense:GPL-3.0Stargazers:1257Issues:0Issues:0

InvokeAI

Invoke is a leading creative engine for Stable Diffusion models, empowering professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies. The solution offers an industry leading WebUI, and serves as the foundation for multiple commercial products.

Language:TypeScriptLicense:Apache-2.0Stargazers:23328Issues:0Issues:0

GP-GAN

Official Chainer implementation of GP-GAN: Towards Realistic High-Resolution Image Blending (ACMMM 2019, oral)

Language:PythonLicense:MITStargazers:460Issues:0Issues:0

Object-Placement-Assessment-Dataset-OPA

The first dataset of composite images with rationality score indicating whether the object placement in a composite image is reasonable.

Language:PythonLicense:MITStargazers:74Issues:0Issues:0

GracoNet-Object-Placement

Official code for ECCV2022 paper: Learning Object Placement via Dual-path Graph Completion

Language:PythonLicense:MITStargazers:75Issues:0Issues:0

fast-poisson-image-editing

Fast, scalable, and extensive implementations of Poisson image editing algorithms.

Language:PythonStargazers:40Issues:0Issues:0
Language:Jupyter NotebookLicense:MITStargazers:2906Issues:0Issues:0

CrossAttentionControl-stablediffusion

Unofficial implementation of "Prompt-to-Prompt Image Editing with Cross Attention Control" with Stable Diffusion, the code is based on the offical StableDiffusion repository.

Language:Jupyter NotebookLicense:NOASSERTIONStargazers:78Issues:0Issues:0