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carnd-extended-kalman-filter-project

Extended Kalman Filter Project (see README for original Udacity instructions, writeup for a quick overview of the 'final product' from me)

carnd-kidnapped-vehicle-project

Kidnapped Vehicle Project (see README for original Udacity instructions)

carnd-mpc-project

Model Predictive Control Project (see README for original Udacity instructions, writeup for a quick overview of the 'final product' from me)

carnd-pid-control-project

PID controller Project (see README for original Udacity instructions, writeup for a quick overview of the 'final product' from me)

carnd-term1-starter-kit

carnd-unscented-kalman-filter-project

Unscented Kalman Filter Project (see README for original Udacity instructions, writeup for a quick overview of the 'final product' from me)

carnd-vehicle-detection-dl-approach

Revisiting an older vehicle (CV) detection project, solving it with DL (YOLO v3)

cs224n_2017

All coding assignments for Stanford's great course on NLP: CS224N

cs231n_2016

All homework assignments for the early 2016 Stanford CS231n: Convolutional Neural Networks for Visual Recognition class.

driving-with-llms

PyTorch implementation for the paper "Driving with LLMs: Fusing Object-Level Vector Modality for Explainable Autonomous Driving"

fastmaskrcnn

Mask RCNN in TensorFlow

five-video-classification-methods

Code that accompanies my blog post outlining five video classification methods in Keras and TensorFlow

intern-coding-tasks

Coding tasks for PFN internship

keras

Deep Learning for humans

lightning

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.

matlab-mlp-not-recommended

An old, simple, low level (unfinished?) implementation of the MLP algorithm with gradient descent.

matlab-svm-not-recommended

An old, simple, low level (unfinished?) implementation of the SVM algorithm with gradient descent. (No kernels included)

ml-sweeps

Simple 'sweeping' files for validating optimal hyper-parameter settings for: 1) MLP 2) MoE

mooc-neurons-and-synapses-2017

Reference data for the "Simulation Neuroscience:Neurons and Synapses" Massive Online Open Course

nn_buildingblocks_exercise

Exercise for understanding Building Blocks of simple Neural Networks

numpy

Numpy main repository

pepper2020

Pepper Robot Code files for the Hackjunction Hackathon Tokyo April 2017

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

ragner

RAG setup + cli

self-driving-car

Projects for Udacity's Self-Driving Car Engineer Nanodegree Program Term 1

taming-transformers

Taming Transformers for High-Resolution Image Synthesis

transformers

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

vision

Datasets, Transforms and Models specific to Computer Vision

yolov3-pytorch

YOLOv3 in pytorch. This is my own version of an already existing repository and online tutorial, see README