wmichalski's Stars
wysoczanska/clip_dinoiser
Official implementation of 'CLIP-DINOiser: Teaching CLIP a few DINO tricks' paper.
lyuwenyu/RT-DETR
[CVPR 2024] Official RT-DETR (RTDETR paddle pytorch), Real-Time DEtection TRansformer, DETRs Beat YOLOs on Real-time Object Detection. 🔥 🔥 🔥
Deci-AI/super-gradients
Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.
akarazniewicz/cocosplit
Simple tool to split COCO annotations into train/test datasets.
niklasf/python-chess
A chess library for Python, with move generation and validation, PGN parsing and writing, Polyglot opening book reading, Gaviota tablebase probing, Syzygy tablebase probing, and UCI/XBoard engine communication
MaslowCorporation/GTA-SAN-ANDREAS-VR
This is an implementation of Grand Theft Auto San Andreas, in VR, using UEVR
Raicuparta/rai-pal
Mod manager for universal game mods
Raicuparta/nomai-vr
Outer Wilds VR Mod with 6DOF tracking and full motion control support
Raicuparta/two-forks-vr
Firewatch VR Mod
sktime/sktime
A unified framework for machine learning with time series
google-research/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
khangich/machine-learning-interview
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
albumentations-team/albumentations
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
jmugan/modern_practical_nlp
This course covers how you can use NLP to do stuff.
fholger/vrperfkit
VR Performance Toolkit
Farama-Foundation/PettingZoo
An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities
mitchelljy/DCGAN-Keras
Simple DCGAN implemented in Keras, tested primarily for landscape paintings
MultiAgentLearning/playground
PlayGround: AI Research into Multi-Agent Learning.
openai/multi-agent-emergence-environments
Environment generation code for the paper "Emergent Tool Use From Multi-Agent Autocurricula"
TerryCavanagh/VVVVVV
The source code to VVVVVV! http://thelettervsixtim.es/