Sanshito's Stars
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
deepspeedai/DeepSpeed
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
facebookresearch/fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
tatsu-lab/stanford_alpaca
Code and documentation to train Stanford's Alpaca models, and generate the data.
ymcui/Chinese-LLaMA-Alpaca
中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)
digininja/DVWA
Damn Vulnerable Web Application (DVWA)
jadore801120/attention-is-all-you-need-pytorch
A PyTorch implementation of the Transformer model in "Attention is All You Need".
ymcui/Chinese-LLaMA-Alpaca-2
中文LLaMA-2 & Alpaca-2大模型二期项目 + 64K超长上下文模型 (Chinese LLaMA-2 & Alpaca-2 LLMs with 64K long context models)
Audi-1/sqli-labs
SQLI labs to test error based, Blind boolean based, Time based.
kimiyoung/transformer-xl
minimaxir/gpt-2-simple
Python package to easily retrain OpenAI's GPT-2 text-generating model on new texts
yfeng95/DECA
DECA: Detailed Expression Capture and Animation (SIGGRAPH 2021)
allenai/longformer
Longformer: The Long-Document Transformer
laekov/fastmoe
A fast MoE impl for PyTorch
bdebye/thesisuestc
ThesisUESTC-电子科技大学毕业论文模板
davidmrau/mixture-of-experts
PyTorch Re-Implementation of "The Sparsely-Gated Mixture-of-Experts Layer" by Noam Shazeer et al. https://arxiv.org/abs/1701.06538
microsoft/Tutel
Tutel MoE: An Optimized Mixture-of-Experts Implementation
Rubikplayer/flame-fitting
Example code for the FLAME 3D head model. The code demonstrates how to sample 3D heads from the model, fit the model to 3D keypoints and 3D scans.
radekd91/emoca
Official repository accompanying a CVPR 2022 paper EMOCA: Emotion Driven Monocular Face Capture And Animation. EMOCA takes a single image of a face as input and produces a 3D reconstruction. EMOCA sets the new standard on reconstructing highly emotional images in-the-wild
soubhiksanyal/FLAME_PyTorch
This is a implementation of the 3D FLAME model in PyTorch
xszyou/fay-ue5
可对接fay数字人的ue5工程
TimoBolkart/FLAME-Universe
Summary of publicly available ressources such as code, datasets, and scientific papers for the FLAME 3D head model
TimoBolkart/TF_FLAME
Tensorflow framework for the FLAME 3D head model. The code demonstrates how to sample 3D heads from the model, fit the model to 2D or 3D keypoints, and how to generate textured head meshes from Images.
psyai-net/EmoTalk_release
This is the official source for our ICCV 2023 paper "EmoTalk: Speech-Driven Emotional Disentanglement for 3D Face Animation"
jixinya/EVP
Code for paper 'Audio-Driven Emotional Video Portraits'.
minimaxir/gpt-2-keyword-generation
Method to encode text for GPT-2 to generate text based on provided keywords
for-ai/parameter-efficient-moe
SimiaoZuo/MoEBERT
This PyTorch package implements MoEBERT: from BERT to Mixture-of-Experts via Importance-Guided Adaptation (NAACL 2022).
thu-pacman/SmartMoE-AE
ATC23 AE
on1262/facialanimation
Source code for: Expressive Speech-driven Facial Animation with controllable emotions