Kiven's repositories
HomeSecuritySystem
Build a home security system on the Raspberry Pi. Use OneNet and Flask.
aasPractice
《spark高级数据分析》练习
Baidu_Chat_Robot
Using baidu voice chat robot
caffe
Caffe: a fast open framework for deep learning.
CityLearn
Official reinforcement learning environment for demand response and load shaping
darknet
YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )
deep-kernel-transfer
Official pytorch implementation of the paper "Deep Kernel Transfer in Gaussian Processes for Few-shot Learning"
Deep-Reinforcement-Learning-Algorithms-with-PyTorch
PyTorch implementations of deep reinforcement learning algorithms and environments
detectron2
Detectron2 is FAIR's next-generation platform for object detection, segmentation and other visual recognition tasks.
fonts-wqy-microhei
Debian package for WenQuanYi Micro Hei (mirror of https://anonscm.debian.org/git/pkg-fonts/fonts-wqy-microhei.git)
foolbox
A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX
mmdetection
Open MMLab Detection Toolbox and Benchmark
models
Models and examples built with TensorFlow
opencv
Open Source Computer Vision Library
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Reinforcement-learning-with-tensorflow
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
SLM-Lab
Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".
stable-baselines
A fork of OpenAI Baselines, implementations of reinforcement learning algorithms
tensorflow
An Open Source Machine Learning Framework for Everyone
TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
uni-app
uni-app 是使用 Vue 语法开发小程序、H5、App的统一框架
yolov5
YOLOv5 in PyTorch > ONNX > CoreML > TFLite
YOLOX
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/