All of the course materials for the Zero to Mastery Deep Learning with TensorFlow course.
Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
tf2onnx converts TensorFlow (tf-1.x or tf-2.x), tf.keras and tflite models to ONNX via command line or python api.
Using TensorFlow Lite with Python is great for embedded devices based on Linux, such as Raspberry Pi.
a collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models.
Implementation of Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples (PAWS) in TensorFlow (2.4.1).
Ivy is a templated deep learning framework which maximizes the portability of deep learning codebases.
A PyTorch Implementation of Watch Your Step: Learning Node Embeddings via Graph Attention (NIPS 2018).
A PyTorch implementation of SimGNN: A Neural Network Approach to Fast Graph Similarity Computation (WSDM 2019).
an online game developed by google, combined with AirGesture - a simple gesture recognition application.
Repository for the manuscript Fischer, D. S., Schaar, A. C. and Theis, F. Learning cell communication from spatial graphs of cells. 2021.
automated systems to assist guarding corona Virus precautions for Closed Rooms (e.g. Halls, offices, etc..)
A lightweight face-recognition toolbox and pipeline based on tensorflow-lite with MTCNN-Face-Detection and ArcFace-Face-Recognition.
A direct translation of the official PyTorch implementation of "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" to TensorFlow 2.
This is a work-in-progress, providing a function to embed TensorBoard, TensorFlow's visualization toolkit, in Streamlit apps.
an implementation of Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis (SV2TTS) with a vocoder that works in real-time.
This is an tensorflow implementation of "CloudAAE: Learning 6D Object Pose Regression with On-line Data Synthesis on Point Clouds"
SmartSim makes it easier to use common Machine Learning (ML) libraries like PyTorch and TensorFlow, in High Performance Computing (HPC) simulations and workloads.
Developing artificial intelligence to play the board game of Go. Where the program's primary objective is not to be a great Go player
SageMaker Python SDK is an open source library for training and deploying machine learning models on Amazon SageMaker.
Python 3 code for my new book series Probabilistic Machine Learning. This is work in progress, so expect rough edges. Getting less rough...