Developing a pipeline for Hand Gesture Recognition

docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.

Explore a comprehensive collection of Python programming for my different data science projects. This repository covers data exploration, visualization, machine learning, deep learning, NLP, web scraping, and model deployment. Perfect for enthusiasts looking to delve into practical examples and advanced techniques.

A deep-learning pipeline for segmentation of ambiguous microscopic images.

ApacheCN 开源组织：公告、介绍、成员、活动、交流方式

Example ML projects that use the Determined library.

A high-throughput and memory-efficient inference and serving engine for LLMs

A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper and Ada GPUs, to provide better performance with lower memory utilization in both training and inference.

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

proof of concept on learn PyTorch

⚡️SwanLab: your ML experiment notebook. 你的AI实验笔记本，跟踪与可视化你的机器学习全流程

A scalable web based application to provide and administer facial access to any device or service through facial biometric recognition.

PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Train a quantum computer the same way as a neural network.

Perform data science on data that remains in someone else's server

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

Large Language Model Text Generation Inference

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.

Neural Network Compression Framework for enhanced OpenVINO™ inference

Causal discovery made easy.