杏杏杏仁酱's repositories
generative_agents
Generative Agents: Interactive Simulacra of Human Behavior
chatglm_finetuning
chatglm 6b 大模型微调
COVID19-SIR
COVID-19 SIR model estimation
CV-OD-pytorch-YOLOv4
PyTorch ,ONNX and TensorRT implementation of YOLOv4
disentangled_graph_collaborative_filtering
Disentagnled Graph Collaborative Filtering, SIGIR2020
Emotion-FAN
ICIP 2019: Frame Attention Networks for Facial Expression Recognition in Videos
FaceMaskDetection-AIZOO
开源人脸口罩检测模型和数据 Detect faces and determine whether people are wearing mask.
FER-Real-Time-Mini-Xception
Real-time face detection and emotion/gender classification using fer2013/imdb datasets with a keras CNN model and openCV.
FER-VGG-Resnet-Sequence
A CNN based pytorch implementation on facial expression recognition (FER2013 and CK+), achieving 73.112% (state-of-the-art) in FER2013 and 94.64% in CK+ dataset
FER-VGG19-01
Facial expression recognition using Pytorch on FER2013 dataset
improved-wgan-pytorch
Improved WGAN in Pytorch
LLaMA-Efficient-Tuning
Easy-to-use fine-tuning framework using PEFT (PT+SFT+RLHF with QLoRA) (LLaMA-2, BLOOM, Falcon, Baichuan, Qwen)
OpenFace-1
OpenFace – a state-of-the art tool intended for facial landmark detection, head pose estimation, facial action unit recognition, and eye-gaze estimation.
QG-para-level
Pytorch implementation of Paragraph-level Neural Question Generation with Maxout Pointer and Gated Self-attention Networks
QG-unilm
UniLM - Unified Language Model Pre-training / Pre-training for NLP and Beyond
QG_from_three
Neural question generation using transformers
Real-time-emotion-classifier-Xception
real-time face detection and emotion classification
stanford_alpaca
Code and documentation to train Stanford's Alpaca models, and generate the data.
stargan-v2
StarGAN v2 - Official PyTorch Implementation (CVPR 2020)
transformers
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.