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nn4nlp-code

Code Samples from Neural Networks for NLP

numerical-linear-algebra

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

occformer

[ICCV 2023] OccFormer: Dual-path Transformer for Vision-based 3D Semantic Occupancy Prediction

occupancy_networks

This repository contains the code for the paper "Occupancy Networks - Learning 3D Reconstruction in Function Space"

open_clip

An open source implementation of CLIP.

openstl

OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning

opticalfibreml

Data and code for the paper "Deep, complex, invertible networks for inversion of transmission effects in multimode optical fibres" published at NIPS 2018

opticsnn

Neural Networks for Optical Inverse Design

production-verification-code

Production chinese verification code

pytorch-handbook

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

response_letter_template

rwkv-lm

RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.

scatternet

Code for all work presented in Nanophotonic Particle Simulation and Inverse Design Using Artificial Neural Networks

sentiment-analysis-with-elmo

We tested ELMo embedding model for Sentiment Analysis on Movie Reviews.

sentimentpolarityanalysis

情感极性分析repository1：基于情感词典、k-NN、Bayes、最大熵、SVM的情感极性分析。

skill-tree

🐼 准备秋招，欢迎来树上取果实

spectrum

Spectral Analysis in Python

ssl-3d-detection

sustechpoints

3D Point Cloud Annotation Platform for Autonomous Driving

text_gcn

Graph Convolutional Networks for Text Classification. AAAI 2019

the-art-of-programming-by-july

本项目曾冲到全球第一，干货集锦见本页面最底部，另完整精致的纸质版《编程之法：面试和算法心得》已在京东/当当上销售

tokenmixers

transformer-xl

two-stage-labeling-for-the-sentiment-orientations

Our algorithm is based a two-stage labeling for the sentiment orientations. A two-level network is accordingly proposed to utilize the two labeled data in the two-stage labeling strategy. Lexical cues (e.g., polar words, POS, conjunction words) are also used in our two-level network with a new encoding strategy. Please refer to our paper at arXiv for details: -hot Lexicon Embedding-based Two-level LSTM for Sentiment Analysis.(https://arxiv.org/pdf/1803.07771.pdf)

uniad

[CVPR 2023 Award Candidate] Planning-oriented Autonomous Driving

unitr

[ICCV2023] Official Implementation of "UniTR: A Unified and Efficient Multi-Modal Transformer for Bird’s-Eye-View Representation"

v2v4real

[CVPR2023 Highlight] The official codebase for paper "V2V4Real: A large-scale real-world dataset for Vehicle-to-Vehicle Cooperative Perception"

voxformer

Official PyTorch implementation of VoxFormer [CVPR 2023 Highlight]

waimaiopinionminer

细粒度情感分析repository1：Wai Mai Opinion Miner，细粒度情感分析系统GUI demo。

wavetorch

🌊 Numerically solving and backpropagating through the wave equation