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Starred repositories
a benchmark suite for testing logical reasoning abilities of prompt-based models
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
Images to inference with no labeling (use foundation models to train supervised models).
Grounded SAM 2: Ground and Track Anything in Videos with Grounding DINO, Florence-2 and SAM 2
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
[ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
PyTorch code and models for the DINOv2 self-supervised learning method.
[CVPR 2024] Real-Time Open-Vocabulary Object Detection
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
The arguably fastest GPIO Library for the Raspberry Pi
The Python Control Systems Library is a Python module that implements basic operations for analysis and design of feedback control systems.
The first-ever vast natural language generation benchmark for Indonesian, Sundanese, and Javanese. We provide multiple downstream tasks, pre-trained IndoGPT and IndoBART models, and a starter code!…
The first-ever vast natural language processing benchmark for Indonesian Language. We provide multiple downstream tasks, pre-trained IndoBERT models, and a starter code! (AACL-IJCNLP 2020)
Collection of LaTeX resources and examples.
This is the official code for the paper CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning (NeurIPS22).
Train transformer language models with reinforcement learning.
A modular RL library to fine-tune language models to human preferences
A Gazebo simulator for the Franka Emika Panda robot with ROS interface, supporting sim-to-real code transfer (Python). Exposes customisable controllers and state feedback from robot in simulation.
In-depth tutorials for implementing deep learning models on your own with PyTorch.
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
Explore and find reinforcement learning environments in a list of 150+ open source environments.
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）
🔬 Absolutely comfort lab for me to work around with my own AIs and to empirically observe how powerful and impactful these technologies are. I do love these technologies!