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addons

Useful extra functionality for TensorFlow 2.x maintained by SIG-addons

api

architecture

OTv1 overview

autograd

Efficiently computes derivatives of numpy code.

backpropagation-matlab

Backpropagation

bulletin-scraper

Download all of Microsoft's security updates and symbols

carbon-lang

Carbon Language's main repository: documents, design, implementation, and related tools. (NOTE: Carbon Language is experimental; see README)

chaotic-recurrent-neural-networks

cleverhans

An adversarial example library for constructing attacks, building defenses, and benchmarking both

covid-symptom-checker

Covid-19 Symptom Checker WebApp

deep-dive

This repo can contain all the analysis, machine learning work done using the patient data or the external data.

detection

Vehicle Detection using Convolutional Neural Network

dm_control

Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

docs

TensorFlow documentation

efficient-recurrent-neural-networks

Tensorflow implementation of efficient recurrent neural networks

flatformer

[CVPR'23] FlatFormer: Flattened Window Attention for Efficient Point Cloud Transformer

fullstack-webscraper-for-ml

Scrapping relevant info from the web

helmholtz-machines

Helmholtz Machines implementation to understand learning

humanlevellearningbymachines

People learning new concepts can often generalize successfully from just a single example, yet machine learning algorithms typically require tens or hundreds of examples to perform with similar accuracy. People can also use learned concepts in richer ways than conventional algorithms — for action, imagination, and explanation. A computational model that captures these human learning abilities for a large class of simple visual concepts: handwritten characters from the world ’ s alphabets. The model represents concepts as simple programs that best explain observed examples under a Bayesian criterion. One-shot classification task, the model achieves human-level performance while outperforming recent deep learning approaches.

julia

The Julia Programming Language

keras

Deep Learning for humans

knockknock

🚪✊Knock Knock: Get notified when your training ends with only two additional lines of code

model-transparency

mojo

The Mojo Programming Language

nanogpt

The simplest, fastest repository for training/finetuning medium-sized GPTs.

neural-activation

neural-arithmetic-logic-units

MXNet Implementation of DeepMind's Neural Arithmetic Logic Units (NALU)

nteract

📘 The interactive computing suite for you! ✨

onnx

Open standard for machine learning interoperability

opensim-nn-arm