zainlau's repositories
GLM
GLM (General Language Model)
MindSpore
MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.
VISinger
VISinger 2: High-Fidelity End-to-End Singing Voice Synthesis Enhanced by Digital Signal Processing Synthesizer
mmgeneration
MMGeneration is a powerful toolkit for generative models, based on PyTorch and MMCV.
MTCNN
MTCNN face detection implementation for TensorFlow, as a PIP package.
d2l-zh
《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被60多个国家的400多所大学用于教学。
awesome-blockchain-cn
收集所有区块链(BlockChain)技术开发相关资料,包括Fabric和Ethereum开发资料
PyQt
PyQt Examples(PyQt各种测试和例子) PyQt4 PyQt5
Bone_Age_Predict
使用yolov5检测骨龄
DeepLearning-500-questions
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 2018.06
CrossWOZ
A Large-Scale Chinese Cross-Domain Task-Oriented Dialogue Dataset
jd_seckill
京东秒杀商品抢购
CudaDemo
Implement custom operators in PyTorch with cuda/c++
Pytorch_Retinaface
Retinaface get 80.99% in widerface hard val using mobilenet0.25.
avatarify-python
Avatars for Zoom, Skype and other video-conferencing apps.
virtual-walk
Virtual walks in Google Street View using PoseNet and applying Deep Learning models to recognize actions.
pyqt5-qtquick2-example
A sample of QtQuick 2 providing material and fluent design themes in PyQt5.
MTCNN_face_detection_alignment
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Neural Networks
Chinese_OCR
yolo3+ocr
Face_recognition_from_camera
Detect and recognize the faces from camera / 调用摄像头进行人脸识别,支持多张人脸同时识别
VISOLO
[CVPR2022 Oral] VISOLO: Grid-Based Space-Time Aggregation for Efficient Online Video Instance Segmentation
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。
YOLOv5_NCNN
🍅 Deploy ncnn on mobile phones. Support Android and iOS. 移动端ncnn部署,支持Android与iOS。
My-First-CUDA-Code
The introduction to cuda, a simple and easy cuda project
mve
Multi-View Environment