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Hydra is a framework for elegantly configuring complex applications
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
A suite of image and video neural tokenizers
Type annotations and runtime checking for shape and dtype of JAX/NumPy/PyTorch/etc. arrays. https://docs.kidger.site/jaxtyping/
Collect some World Models for Autonomous Driving papers.
DeepSeek Coder: Let the Code Write Itself
The repo contains all the important C++ STL functions, frequently used for problem-solving and competitive programming.
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
A generative world for general-purpose robotics & embodied AI learning.
PyTorch implementation of MoCo v3 https//arxiv.org/abs/2104.02057
Transparent proxy server that works as a poor man's VPN. Forwards over ssh. Doesn't require admin. Works with Linux and MacOS. Supports DNS tunneling.
Repository for our paper "Object-Centric Learning for Real-World Videos by Predicting Temporal Feature Similarities"
Official implementation of the NeurIPS 2023 paper "Self-supervised Object-Centric Learning for Videos"
[CVPR 2024 Highlight] 🐶 SPOT: Self-Training with Patch-Order Permutation for Object-Centric Learning with Autoregressive Transformers
DynaMo: In-Domain Dynamics Pretraining for Visuo-Motor Control
UNOFFICIAL implementation of the ICLR 2023 paper "Bridging the Gap to Real-World Object-Centric Learning"
Repository lists useful papers related to representation learning with links to research papers, conference names and year of publish.
OpenPCDet Toolbox for LiDAR-based 3D Object Detection.
GSDS Graduation Qualification Exam - Programming
[NeurIPS 2024] Official code of ”LION: Linear Group RNN for 3D Object Detection in Point Clouds“
[NeurIPS 2024] GenRL: Multimodal-foundation world models enable grounding language and video prompts into embodied domains, by turning them into sequences of latent world model states. Latent state…
CARLA: A self-supervised contrastive learning model for time series anomaly detection. Enhances anomaly detection by learning robust representations of time series data.
Hierarchical Universal Language Conditioned Policies
Pytorch implementation of the models RT-1-X and RT-2-X from the paper: "Open X-Embodiment: Robotic Learning Datasets and RT-X Models"
Official Task Suite Implementation of ICML'23 Paper "VIMA: General Robot Manipulation with Multimodal Prompts"
https://arxiv.org/abs/2312.10807