cj401-jw's repositories
ARM-VO
Efficient monocular visual odometry for ground vehicles on ARM processors
automl
Google Brain AutoML
AutoRCCar
OpenCV Python Neural Network Autonomous RC Car
Awesome-CV
:page_facing_up: Awesome CV is LaTeX template for your outstanding job application
CFDPython
A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/
D4LCN
A pytorch implementation of "D4LCN: Learning Depth-Guided Convolutions for Monocular 3D Object Detection"
Deep-SORT-YOLOv4
People detection and optional tracking with Tensorflow backend.
DeepPiCar
Deep Learning Autonomous Car based on Raspberry Pi, SunFounder PiCar-V Kit, TensorFlow, and Google's EdgeTPU Co-Processor
efficientdet-tf
Custom implementation of EfficientDet https://arxiv.org/abs/1911.09070
EfficientDet.Pytorch
Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch
gen-efficientnet-pytorch
Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS
Khronosdotorg
Khronos.org website pages welcome to be updated by the community.
maskrcnn-benchmark
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
micrograd
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
model-optimization
A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.
Monk_Object_Detection
A one-stop repository for low-code easily-installable object detection pipelines.
netron
Visualizer for neural network, deep learning and machine learning models
Object-Detection-Metrics
Most popular metrics used to evaluate object detection algorithms.
oneDNN
oneAPI Deep Neural Network Library (oneDNN)
onnx
Open standard for machine learning interoperability
PRML
PRML algorithms implemented in Python
pytorch-1
Tensors and Dynamic neural networks in Python with strong GPU acceleration
pytorch-image-models
PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2, MNASNet, Single-Path NAS, FBNet, and more
reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
Tensorflow-bin
Prebuilt binary with Tensorflow Lite enabled (native build). For RaspberryPi / Jetson Nano. And, solved Tensorflow issues #15062,#21574,#21855,#23082,#25120,#25748,#29617,#29704,#30359.
tpu
Reference models and tools for Cloud TPUs.
yolov3
YOLOv3 in PyTorch > ONNX > CoreML > iOS