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Name: Anner
Type: User
Bio: Passion for Autonomous Driving
Location: London
Name: Anner
Type: User
Bio: Passion for Autonomous Driving
Location: London
Extended Kalman Filter Project (see README for original Udacity instructions, writeup for a quick overview of the 'final product' from me)
Kidnapped Vehicle Project (see README for original Udacity instructions)
Model Predictive Control Project (see README for original Udacity instructions, writeup for a quick overview of the 'final product' from me)
PID controller Project (see README for original Udacity instructions, writeup for a quick overview of the 'final product' from me)
Unscented Kalman Filter Project (see README for original Udacity instructions, writeup for a quick overview of the 'final product' from me)
Revisiting an older vehicle (CV) detection project, solving it with DL (YOLO v3)
All coding assignments for Stanford's great course on NLP: CS224N
All homework assignments for the early 2016 Stanford CS231n: Convolutional Neural Networks for Visual Recognition class.
PyTorch implementation for the paper "Driving with LLMs: Fusing Object-Level Vector Modality for Explainable Autonomous Driving"
Mask RCNN in TensorFlow
Code that accompanies my blog post outlining five video classification methods in Keras and TensorFlow
Coding tasks for PFN internship
Deep Learning for humans
The most intuitive, flexible, way to build PyTorch models and lightning apps that glue together everything around the models, without the pain of infrastructure, cost management, scaling and everything else.
An old, simple, low level (unfinished?) implementation of the MLP algorithm with gradient descent.
An old, simple, low level (unfinished?) implementation of the SVM algorithm with gradient descent. (No kernels included)
Simple 'sweeping' files for validating optimal hyper-parameter settings for: 1) MLP 2) MoE
Reference data for the "Simulation Neuroscience:Neurons and Synapses" Massive Online Open Course
Exercise for understanding Building Blocks of simple Neural Networks
Numpy main repository
Pepper Robot Code files for the Hackjunction Hackathon Tokyo April 2017
Tensors and Dynamic neural networks in Python with strong GPU acceleration
RAG setup + cli
Projects for Udacity's Self-Driving Car Engineer Nanodegree Program Term 1
Taming Transformers for High-Resolution Image Synthesis
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Datasets, Transforms and Models specific to Computer Vision
YOLOv3 in pytorch. This is my own version of an already existing repository and online tutorial, see README
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.