nidesuipao

nidesuipao's Stars

• gpu-mode/lectures

  Material for gpu-mode lectures

  Language:Jupyter Notebook2.9k289

• karpathy/nanoGPT

  The simplest, fastest repository for training/finetuning medium-sized GPTs.

  Language:Python37k5.9k

• CleanDiffuserTeam/CleanDiffuser

  CleanDiffuser: An Easy-to-use Modularized Library for Diffusion Models in Decision Making

  Language:Jupyter Notebook36532

• vwxyzjn/cleanrl

  High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

  Language:Python5.6k636

• Yasoz/DiffTraj

  The implemention of DiffTraj: Generating GPS Trajectory with Diffusion Probabilistic Model

  Language:Python5110

• facebookresearch/DiT

  Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"

  Language:Python6.2k557

• ZibinDong/AlignDiff-ICLR2024

  Language:Python212

• sail-sg/edp

  [NeurIPS 2023] Efficient Diffusion Policy

  Language:Python815

• dome272/Diffusion-Models-pytorch

  Pytorch implementation of Diffusion Models (https://arxiv.org/pdf/2006.11239.pdf)

  Language:Python1.2k267

• w86763777/pytorch-ddpm

  Unofficial PyTorch implementation of Denoising Diffusion Probabilistic Models

  Language:Python50362

• thuml/TimesNet

  About Code release for "TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis" (ICLR 2023), https://openreview.net/pdf?id=ju_Uqw384Oq

  71464

• Y-debug-sys/Diffusion-TS

  [ICLR 2024] Official Implementation of "Diffusion-TS: Interpretable Diffusion for General Time Series Generation"

  Language:Jupyter Notebook16322

• JinmingWang/TrajectoryDiffusion

  Apply diffusion models to trajectory tasks

  Language:Jupyter Notebook2

• TEA-Lab/diffusion_reward

  [ECCV 2024] 💐Official implementation of the paper "Diffusion Reward: Learning Rewards via Conditional Video Diffusion"

  Language:Python767

• pickxiguapi/Clean-Offline-RLHF

  Offline RLHF codebase implementation for "Uni-RLHF: Universal Platform and Benchmark Suite for Reinforcement Learning with Diverse Human Feedback" (ICLR2024)

  Language:Python312

• nicob15/Trajectory-Generation-Control-and-Safety-with-Denoising-Diffusion-Probabilistic-Models

  Language:Python62

• intuitive-robots/beso

  [RSS 2023] Official code for "Goal Conditioned Imitation Learning using Score-based Diffusion Policies"

  Language:Python606

• real-stanford/diffusion_policy

  [RSS 2023] Diffusion Policy Visuomotor Policy Learning via Action Diffusion

  Language:Python1.5k292

• lucidrains/denoising-diffusion-pytorch

  Implementation of Denoising Diffusion Probabilistic Model in Pytorch

  Language:Python8.3k1k

• GuanSuns/Relative-Behavioral-Attributes-ICLR-23

  Language:Python61

• KanishkNavale/Trajectory-Planning-using-HER-and-Reward-Engineering

  Trajectory planning based on Reinforcement Learning with Hindsight Experience Replay & Dense Reward Engineering to solve openai-gym robotics "FetchReach-v1" environment using TF2.

  Language:Python141

• pokaxpoka/B_Pref

  Language:Jupyter Notebook4410

• mmdzb/Lane-Transformer

  Language:Python294

• sthalles/SimCLR

  PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

  Language:Jupyter Notebook2.2k467

• apexrl/GCRL-Collection

  This repo relates to the survey paper <Goal-Conditioned Reinforcement Learning: Problems and Solutions>. We collects widely used benchmark environments and conclude a series of research works for goal-conditioned reinforcement learning (GCRL).

  1085

• nidesuipao/monash

  Language:Jupyter Notebook4

• fengdu78/lihang-code

  《统计学习方法》的代码实现

  Language:Jupyter Notebook19k6.3k

• Dod-o/Statistical-Learning-Method_Code

  手写实现李航《统计学习方法》书中全部算法

  Language:Python11k2.9k

• pickxiguapi/Novel-Sou-Sou

  NovelSouSou小说搜索引擎，使用Scrapy爬取多家笔趣阁网站，使用MongoDB存储小说信息，建立倒排索引以便进行搜索，最后基于Django建立Web服务，实现搜索全网小说并可一键下载。

  Language:Python259

• NonoKing/SEU_Monash_2017-2018

  Helpful and available for students of SEU-Monash in Suzhou

  7728