MachineLP's starred repositories
seamless_communication
Foundational Models for State-of-the-Art Speech and Text Translation
Face-Recognition-SDK-Javascript
Face Recognition Javascript SDK using ONNX Runtime Web and OpenCV.js (Face Detection, Face Landmarks, Face Liveness, Face Pose, Face Expression, Eye Closeness, Age, Gender and Face Recognition)
PassportEye
Extraction of machine-readable zone information from passports, visas and id-cards via OCR
Baichuan-7B
A large-scale 7B pretraining language model developed by BaiChuan-Inc.
NeMo-Guardrails
NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.
backgroundremover
Background Remover lets you Remove Background from images and video using AI with a simple command line interface that is free and open source.
WhisperSpeech
An Open Source text-to-speech system built by inverting Whisper.
KuiperInfer
带你从零实现一个高性能的深度学习推理库,支持大模型 llama2 、Unet、Yolov5、Resnet等模型的推理。Implement a high-performance deep learning inference library step by step
opencv-mobile
The minimal opencv for Android, iOS, ARM Linux, Windows, Linux, MacOS, WebAssembly
Dummy-Robot
我的超迷你机械臂机器人项目。
segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
torchdistill
A coding-free framework built on PyTorch for reproducible deep learning studies. 🏆25 knowledge distillation methods presented at CVPR, ICLR, ECCV, NeurIPS, ICCV, etc are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.
Real-World-Masked-Face-Dataset
Real-World Masked Face Dataset,口罩人脸数据集
MaskTheFace
Convert face dataset to masked dataset
pytorch_face_landmark
Fast and accurate face landmark detection library using PyTorch; Support 68-point semi-frontal and 39-point profile landmark detection; Support both coordinate-based and heatmap-based inference; Up to 100 FPS landmark inference speed with SOTA face detector on CPU.
FaceDataSets_Manual_Annotation_Tools
Face attributes manual annotatior python tool projects
stanford_alpaca
Code and documentation to train Stanford's Alpaca models, and generate the data.
ControlNet
Let us control diffusion models!
CodeFormer
[NeurIPS 2022] Towards Robust Blind Face Restoration with Codebook Lookup Transformer
CodeFormer-ncnn
ncnn version of CodeFormer