PoolSon's Stars
ageitgey/face_recognition
The world's simplest facial recognition api for Python and the command line
google-research/bert
TensorFlow code and pre-trained models for BERT
facebookresearch/fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
open-mmlab/mmdetection
OpenMMLab Detection Toolbox and Benchmark
apple/ml-stable-diffusion
Stable Diffusion with Core ML on Apple Silicon
NLP-LOVE/ML-NLP
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现,也是作为一个算法工程师必会的理论基础知识。
OpenMOSS/MOSS
An open-source tool-augmented conversational language model from Fudan University
OptimalScale/LMFlow
An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.
ccfddl/ccf-deadlines
⏰ Collaboratively track deadlines of conferences recommended by CCF (Website, Python Cli, Wechat Applet) / If you find it useful, please star this project, thanks~
layumi/Person_reID_baseline_pytorch
:bouncing_ball_person: Pytorch ReID: A tiny, friendly, strong pytorch implement of person re-id / vehicle re-id baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial
lcylmhlcy/Awesome-algorithm-interview
算法工程师(人工智能CV方向)面试问题及相关资料
MLNLP-World/AI-Paper-Collector
MLNLP社区用来更好进行论文搜索的工具。Fully-automated scripts for collecting AI-related papers
parlance/ctcdecode
PyTorch CTC Decoder bindings
rafellerc/Pytorch-SiamFC
Pytorch implementation of "Fully-Convolutional Siamese Networks for Object Tracking"
salesforce/nonauto-nmt
PyTorch Implementation of "Non-Autoregressive Neural Machine Translation"
arbitularov/SiamRPN-PyTorch
Implementation SiamRPN on PyTorch with GOT-10k dataset
ybai-nlp/MCLAS
Code and data for ACL2021 paper Cross-Lingual Abstractive Summarization with Limited Parallel Resources.
lemmonation/jm-nat
Code for ACL2020 "Jointly Masked Sequence-to-Sequence Model for Non-Autoregressive Neural Machine Translation"
m3yrin/nar-latent-alignment
Unofficial implementation of "Non-Autoregressive Machine Translation with Latent Alignments" https://arxiv.org/abs/2004.07437
Wanghn95/Esca_Code