• OpenTrit, an open-source cross-framework mixed ternary toolkit, supports one-click conversion of mixed ternary models between PyTorch and TensorFlow. It encapsulates heterogeneous computing power scheduling and quantization optimization, addressing the issues of "framework depe…
This is a repository of my own learning notes, also could be a tutorial. I will I will continue to update this new repository, which may include machine learning, deep learning, probability theory, information theory, pytorch, tensorflow, and some learning materials from numpy, w…
This is a repository of my own learning notes, also could be a tutorial. I will I will continue to update this new repository, which may include machine learning, deep learning, probability theory, information theory, pytorch, tensorflow, and some learning materials from numpy, w…
A probabilistic programming language in TensorFlow. Deep generative models, variational inference. (⭐ 4842)
Jul 16, 2024 · The TPUs are proprietary ASIC devices developed by Google and used in GCP data centers since 2015. The chip supports Google's TensorFlow symbolic math software platform and …
Implementation of EfficientNet model. Keras and TensorFlow Keras. (⭐ 2101)
EfficientDet (Scalable and Efficient Object Detection) implementation in Keras and Tensorflow (⭐ 1451)
Deep Learning Specialization course by IIT Roorkee (Using python, numpy, pandas, sklearn,TensorFlow 2) (⭐ 26)
Play Google Chrome's T-rex game with TensorFlow (⭐ 343)
Implementation of handwriting generation with use of recurrent neural networks in tensorflow. Based on Alex Graves paper (https://arxiv.org/abs/1308.0850). (⭐ 583)
Implementation of Temporal Ensembling for Semi-Supervised Learning by Laine et al. with tensorflow eager execution (⭐ 55)
Jun 1, 2025 · Hello everyone, Iâd like to share a project Iâve been working on related to KataGo AI. I used an existing TensorFlow.js-compatible KataGo bare neural net from this repo. This is a small, early â¦
Equip yourself with the knowledge necessary to use the TensorFlow API along with best practices and hands-on experience in one of the most in-demand deep learning frameworks.
More than 50 machine learning models (and tests) based on TensorFlow / PyTorch (⭐ 0)
Data and code of my Medium story on stock prediction with TensorFlow (⭐ 514)
A face recognition app called ’Handcuffed’ for Microsoft Engage 2022 Program. It can be used by Crime Tracking Network and Systems (CCTNS) unit officials to catch criminals by scanning their faces. Languages/Frameworks: Flutter, Dart, Google ML kit and Tensorflow lite. (⭐ 0)
AdaNet is a lightweight TensorFlow-based (Abadi et al., 2015) framework for automatically learning high-quality ensembles with minimal expert intervention. Our framework is inspired by the AdaNet algorithm (Cortes et al., 2017) which learns the struc...
How to use the Flax Linen API to build a convolutional neural network model and train it for image classification (using TensorFlow Datasets). (⭐ 25)
Bare bone examples of machine learning in TensorFlow (⭐ 2409)
Library/framework for making predictions. Automatically choose best models (ARIMA, regressions, MLP, LSTM...) from libraries like Scikit, Statsmodels or Tensorflow. Preprocess data and chose optimal parameters of prediction. (⭐ 9)