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bevformer

[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.

bevinstructor

[ECCV24] Navigation Instruction Generation with BEV Perception and Large Language Models

coding-interview-university

A complete computer science study plan to become a software engineer.

deep-learning-book-chapter-summaries

Attempting to make the Deep Learning Book easier to understand.

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deep-reinforcement-learning-algorithms-with-pytorch

PyTorch implementations of deep reinforcement learning algorithms and environments

fanscy.github.io

It's my personal website.

hieraseg

CVPR2022 - Deep Hierarchical Semantic Segmentation - A structured, pixel-wise description of visual scenes in terms of the class hierarchy.

homework_fall2021

Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2021)

ierg6130-assignment

Assignments for course IERG 6130: Reinforcement Learning and Beyond

lana-vln

Repository of our CVPR2023 paper "Lana: A Language-Capable Navigator for Instruction Following and Generation"

leetcode-go

✅ Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% / LeetCode 题解

linux-tutorial

《Java 程序员眼中的 Linux》

loaf

machine-learning-course

:speech_balloon: Machine Learning Course with Python

maddpg

Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

marl-papers

Paper list of multi-agent reinforcement learning (MARL)

nn4nlp-code

Code Samples from Neural Networks for NLP

opencv-riscv

PLCT实验室的 OpenCV for RISC-V 主仓库，2020年完成部署

pumpkin-book

《机器学习》（西瓜书）公式推导解析，在线阅读地址：https://datawhalechina.github.io/pumpkin-book

pytorch-maddpg

A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)

segment-and-track-anything

An open-source project dedicated to tracking and segmenting any objects in videos, either automatically or interactively. The primary algorithms utilized include the Segment Anything Model (SAM) for key-frame segmentation and Associating Objects with Transformers (AOT) for efficient tracking and propagation purposes.

slambook2

edition 2 of the slambook

stable-baselines3

PyTorch version of Stable Baselines, improved implementations of reinforcement learning algorithms.

tinyflow

Tutorial code on how to build your own Deep Learning System in 2k Lines

ustc-course

:heart:**科学技术大学课程资源

var

[CVPR 2022] Visual Abductive Reasoning

vln-hamt

Official implementation of History Aware Multimodal Transformer for Vision-and-Language Navigation (NeurIPS'21).