Max-Fu's repositories
affx
Affine Transformations for C++ and Python
AP-Statistics-Experiment-Semester-1
This is a public repo created for random selection of students in HS SMIC
AP-Statistics-Final-Project
Data Analysis on the linear relationship between movie budget and movie revenue https://www.statcrunch.com/app/index.php?dataid=2188684
CharacterRecognition
Using neural network for character recognition
efficientdet-pytorch
EfficientDet Reimplementation for Benchmarking Detection Transfer Learning with Vision Transformers
franka-scripted
Writing Scripted Policies for Franka Emika
gym-duckietown
Self-driving car simulator for the Duckietown universe
homework_fall2020
Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2020)
Hands-on-Machine-Learning-Book-Notes
Notes and Projects coded whilst reading Hands-on Machine Learning with Scikit-Learn and TensorFlow
handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
imitation
Clean PyTorch implementations of imitation and reward learning algorithms
Keras-Tutorials
Simple tutorials using Keras Framework
max-fu.github.io
Letian Fu's Personal Website
MNISTPractice
Practice MNIST with Tensorflow and Sklearn
nimGame
Nim is a mathematical game of strategy in which two players take turns removing objects from distinct heaps. On each turn, a player must remove at least one object, and may remove any number of objects provided they all come from the same heap. The goal of the game is to avoid being the player who must remove the last object. (Source: Wikipedia)
py-faster-rcnn
Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version
pytorch-image-models
For ViT based Object Detection
tensorflow
Computation using data flow graphs for scalable machine learning
tensorflow_with_latest_papers
Implementation of Newest RNN and Seq2Seq Features