Thirteentj's repositories
modified_LaneGCN
modified for TrajGen
waymo-motion-prediction-challenge-2022-multipath-plus-plus
Solution for Waymo Motion Prediction Challenge 2022. Our implementation of MultiPath++
Machine-Learning-with-Python
Python code for common Machine Learning Algorithms
AgentFormer
[ICCV 2021] Official PyTorch Implementation of "AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecasting".
Opencv-project
Awesome Opencv Project
Awesome-Backbones
Integrate deep learning models for image classification | Backbone learning/comparison/magic modification project
pytorch-image-models
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
12_Python_Seaborn_Module
Seaborn is one of the go-to tools for statistical data visualization in python. It has been actively developed since 2012 and in July 2018, the author released version 0.9. This version of Seaborn has several new plotting features, API changes and documentation updates which combine to enhance an already great library. This article will walk through a few of the highlights and show how to use the new scatter and line plot functions for quickly creating very useful visualizations of data.
car-racing
A toolkit for testing control and planning algorithm for car racing.
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
rl-agents
Implementations of Reinforcement Learning and Planning algorithms
Paper-Writing-Tips
Paper Writing Tips
PyTorch_Tutorial
《Pytorch模型训练实用教程》中配套代码
VectorNet
Pytorch implementation of CVPR2020 paper “VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation”
GraphEmbedding
Implementation and experiments of graph embedding algorithms.
Graph-Learning
Graph model implementation
NPSN
Official Code for "Non-Probability Sampling Network for Stochastic Human Trajectory Prediction (CVPR 2022)"
ailia-models
The collection of pre-trained, state-of-the-art AI models for ailia SDK
annotated_deep_learning_paper_implementations
🧑🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
pytorch_geometric
Graph Neural Network Library for PyTorch
ML-Notebooks
:fire: A series of code examples for all sorts of machine learning tasks and applications.
CVprojects
computer vision projects | 计算机视觉等好玩的AI项目
ML-YouTube-Courses
📺 A place to discover the latest machine learning courses on YouTube.