#计算机科学#Python 数据科学学习笔记：深度学习 (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, 大数据 (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python 核心, AWS, Linux命令
#自然语言处理#人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-in...
#计算机科学#Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
翻译 - 您好AI World指南，介绍如何使用TensorRT和NVIDIA Jetson部署深度学习推理网络和深度视觉原语。
#IOS#Largest list of models for Core ML (for iOS 11+)
翻译 - Core ML的最大型号列表（适用于iOS 11+）
#计算机科学#Setup and customize deep learning environment in seconds.
翻译 - 在单个命令行中设置深度学习环境。
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyT...
翻译 - MMdnn是一组工具，可帮助用户在不同的深度学习框架之间进行互操作。例如。模型转换和可视化。在Caffe，Keras，MXNet，Tensorflow，CNTK，PyTorch Onnx和CoreML之间转换模型。
#计算机科学#Code repo for realtime multi-person pose estimation in CVPR'17 (Oral)
#计算机科学#An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks
翻译 - 神经网络机器学习和图像分类的绝对初学者指南
#计算机科学#Deep Learning Visualization Toolkit（『飞桨』深度学习可视化工具 ）
A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), ...
翻译 - A repository that shares tuning results of trained models generated by TensorFlow / Keras. Post-training quantization (Weight Quantization, Integer Quantization, Full Integer Quantization, Float16 Quantization), Quantization-aware training. TensorFlow Lite. OpenVINO. CoreML. TensorFlow.js. TF-TRT. MediaPipe. ONNX. [.tflite,.h5,.pb,saved_model,tfjs,tftrt,mlmodel,.xml/.bin, .onnx]
#计算机科学#MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle
#计算机科学#Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.
#Awesome#The convertor/conversion of deep learning models for different deep learning frameworks/softwares.
#计算机科学#校招、秋招、春招、实习好项目！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
#计算机科学#Deep learning software for colorizing black and white images with a few clicks.
#计算机科学#Deep Learning API and Server in C++14 support for PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE
翻译 - C ++ 11中的深度学习API和服务器支持Caffe，Caffe2，PyTorch，TensorRT，Dlib，NCNN，Tensorflow，XGBoost和TSNE