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written in Python
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Models and examples built with TensorFlow
🏡 Open source home automation that puts local control and privacy first.
Ansible is a radically simple IT automation platform that makes your applications and systems easier to deploy and maintain. Automate everything from code deployment to network configuration to clo…
scikit-learn: machine learning in Python
The world's simplest facial recognition api for Python and the command line
TensorFlow code and pre-trained models for BERT
A toolkit for developing and comparing reinforcement learning algorithms.
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials,…
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Code for the paper "Language Models are Unsupervised Multitask Learners"
Image augmentation for machine learning experiments.
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
StyleGAN - Official TensorFlow Implementation
An open-source NLP research library, built on PyTorch.
Low-code framework for building custom LLMs, neural networks, and other AI models
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as PyTensor: www.github.…
Deep learning library featuring a higher-level API for TensorFlow.
Deep Learning and Reinforcement Learning Library for Scientists and Engineers
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
🔥 2D and 3D Face alignment library build using pytorch
Setup and customize deep learning environment in seconds.
Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
A general-purpose encoder-decoder framework for Tensorflow