From the basics to slightly more interesting applications of Tensorflow
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Performance analysis of predictive (alpha) stock factors
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
- tensorflow
- machine-learning
- regression
- convolutional-neural-networks
🛠 All-in-one web-based IDE specialized for machine learning and data science.
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier
- machine-learning
- deep-learning
- lstm
- human-activity-recognition
[Legacy] Data & AI Notebook templates catalog organized by tools, following the IMO (input, model, output) framework for easy usage and discovery..
- templates
- opensource
- naas
- notebooks-templates
A library for debugging/inspecting machine learning classifiers and explaining their predictions
Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
- data-science
- python
- dag
- data-engineering
TensorFlow Tutorials
- tensorflow-tutorials
- convolutional-neural-networks
- recurrent-neural-networks
Synthetic data generators for tabular and time-series data
- gan-architectures
- gan
- deep-learning
- synthetic-data
Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier
- seq2seq
- tensorflow
- tensorflow-tutorials
- python
"Neural Turing Machine" in Tensorflow
- tensorflow
- neural-turing-machines
WeVisOne-VL is a powerful VLM by the WeChat Vision Team at Tencent, unifying object-level and pixel-level perception from points and boxes to masks and alpha mattes.
TensorFlow Implementation of "Show, Attend and Tell"
- tensorflow
- image-captioning
- show-attend-and-tell
- attention-mechanism
TensorForce Bitcoin Trading Bot
TensorFlow implementation of an arbitrary order Factorization Machine
- factorization-machines
- tensorflow
- research-project
🍇 GRAPE is a Rust/Python Graph Representation Learning library for Predictions and Evaluations
- graph
- high-performance
- machine-learning
- knowledge-graph
This repo contains materials for use in a TensorFlow workshop.
The codes I made while I practiced various TensorFlow examples
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TranslatedTensorFlow in practice: using LSTM to predict lottery results
Tensorflow implementation of "Learning Deep Features for Discriminative Localization"
A tensorflow implementation of an HMM layer
- tensorflow
- tensorflow-hmm
- viterbi
- hmm
Usiigaci: stain-free cell tracking in phase contrast microscopy enabled by supervised machine learning
- tensorflow
- python3
- keras
- resnet-101