double Eric's starred repositories
nvdiffrecmc
Official code for the NeurIPS 2022 paper "Shape, Light, and Material Decomposition from Images using Monte Carlo Rendering and Denoising".
Online-3D-BPP-DRL
This repository contains the implementation of paper Online 3D Bin Packing with Constrained Deep Reinforcement Learning.
Baichuan-7B
A large-scale 7B pretraining language model developed by BaiChuan-Inc.
wechatWCI-clawer
微信指数,百度指数爬虫
Awesome-LLM-Robotics
A comprehensive list of papers using large language/multi-modal models for Robotics/RL, including papers, codes, and related websites
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
How-to-use-Transformers
Transformers 库快速入门教程
LLM-Travel
欢迎来到 "LLM-travel" 仓库!探索大语言模型(LLM)的奥秘 🚀。致力于深入理解、探讨以及实现与大模型相关的各种技术、原理和应用。
Spatio-Temporal-Data-Mining-Survey
Paper & Code & Dataset Collection of Spatial-Temporal Data Mining.
annotated_deep_learning_paper_implementations
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
ml-based-anomaly-detection
Spectral Residual
pytorch-lstm-by-hand
A small and simple tutorial on how to craft a LSTM nn.Module by hand on PyTorch.
DeepLearning_Wavelet-LSTM
LSTM + Wavelet(长短期记忆神经网络+小波分析):深度学习与数字信号处理的结合
PyTorch-Wavelet-Toolbox
Differentiable fast wavelet transforms in PyTorch with GPU support.
pytorch_wavelets
Pytorch implementation of 2D Discrete Wavelet (DWT) and Dual Tree Complex Wavelet Transforms (DTCWT) and a DTCWT based ScatterNet
Basic-Multi-task-Learning
This is a repository for Multi-task learning with toy data in Pytorch and Tensorflow
pytorch-seq2seq
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
pytorchTCN
A TCN Implementation in Pytorch
deep-learning-time-series
List of papers, code and experiments using deep learning for time series forecasting