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awesome-coreml-models

The largest list of unique Core ML models. PRs welcomes for new models.

caffe

Caffe: a fast open framework for deep learning.

chainlit

Build Python LLM apps in minutes ⚡️

cuhe

CUDA Homomorphic Encryption Library

datacleaner

A Python tool that automatically cleans data sets and readies them for analysis.

digits

Deep Learning GPU Training System

dnc

A TensorFlow implementation of the Differentiable Neural Computer.

dqn

Lua/Torch implementation of DQN (Nature, 2015)

dsprites-dataset

Dataset to assess the disentanglement properties of unsupervised learning methods

fast-wavenet

Speedy Wavenet generation using dynamic programming :zap:

gdrcopy

A fast GPU memory copy library based on NVIDIA GPUDirect RDMA technology

handong1587.github.io

lab

A customisable 3D platform for agent-based AI research

learning-to-learn

Learning to Learn in TensorFlow

libnvidia-container

NVIDIA container runtime library

nccl

Optimized primitives for collective multi-GPU communication

nvidia-docker

Build and run Docker containers leveraging NVIDIA GPUs

nvidia-settings

NVIDIA driver control panel

presentation

:bookmark_tabs: Presentation helps you to make tutorials, release notes and animated pages.

rc-data

Question answering dataset featured in "Teaching Machines to Read and Comprehend

reinforcementlearning

Reinforcement Learning Algorithms

repo-2017

Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning

rnn-tutorial

Recurrent Neural Networks - A Short TensorFlow Tutorial

seq2seq

Sequence to Sequence Learning with Keras

sonnet

TensorFlow-based neural network library

spaceship_dataset

Dataset for the spaceship task from "Metacontrol for Adaptive Imagination-Based Optimization"

technical_book_dl

This note presents in a technical though hopefully pedagogical way the three most common forms of neural network architectures: Feedforward, Convolutional and Recurrent.

torch-hdf5

Torch interface to HDF5 library

tpot

A Python tool that automatically creates and optimizes machine learning pipelines using genetic programming.

visual-attention

Torch implementation of "Multiple Object Recognition with Visual Attention" on Kaggle Cats vs Dogs dataset