Stars
Implementation of popular ML algorithms from scratch
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
A comprehensive deep dive into the world of tokens
Natural Language Processing Tutorial for Deep Learning Researchers
[EMNLP 2023 Demo] Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding
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"
A library for advanced large language model reasoning
Official implementation of the paper "CoEdIT: Text Editing by Task-Specific Instruction Tuning" (EMNLP 2023)
Implementation of Reinforcement Learning from Human Feedback (RLHF)
A curated list of reinforcement learning with human feedback resources (continually updated)
Train transformer language models with reinforcement learning.
High-quality reference implementations of various algorithms for Inverse Reinforcement Learning
Wrappers and utilities for Nvidia IsaacGym
PyTorch code for Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings (ICCV 2021)
The MAGICAL benchmark suite for robust imitation learning (NeurIPS 2020)
[CoRL 2021] A robotics benchmark for cross-embodiment imitation.
Pytorch code for ICRA'21 paper: "Hierarchical Cross-Modal Agent for Robotics Vision-and-Language Navigation"
Deep Anomaly Detection with Outlier Exposure (ICLR 2019)
Corruption and Perturbation Robustness (ICLR 2019)
Implementations of Reinforcement Learning and Planning algorithms
A minimalist environment for decision-making in autonomous driving
Official Implementation of "Learning Disentangled Behavior Embeddings"
Contrastively Disentangled Sequential Variational Audoencoder
hallelujahIM(哈利路亚 英文输入法) is an intelligent English input method with auto-suggestions and spell check features.
A new codebase for popular Scene Graph Generation methods (2020). Visualization & Scene Graph Extraction on custom images/datasets are provided. It's also a PyTorch implementation of paper “Unbiase…
image scene graph generation benchmark
EECS 106A/206A Fall 2018 at UC Berkeley