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classyvision

An end-to-end PyTorch framework for image and video classification

clipper

A low-latency prediction-serving system

cntk

Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

colossalai

Colossal-AI: A Unified Deep Learning System for Big Model Era

compare-plugin

Compare plugin for Notepad++

compare_gan

computelibrary

The Compute Library is a set of computer vision and machine learning functions optimised for both Arm CPUs and GPUs using SIMD technologies.

computer-vision-projects-with-opencv-and-python-3

Computer Vision Projects with OpenCV and Python 3, published by Packt

computervision-recipes

Best Practices, code samples, and documentation for Computer Vision.

corenlp

Stanford CoreNLP: A Java suite of core NLP tools.

cpp-taskflow

A Modern C++ Parallel Task Programming Library

cps-ocr-engine

An awesome OCR engine developed by SYSU DeepDriving Lab

custom-op

Guide for building custom op for TensorFlow

d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 175 universities.

d2l-tvm

Dive into Deep Learning Compiler

datasets

🤗 Fast, efficient, open-access datasets and evaluation metrics for Natural Language Processing and more in PyTorch, TensorFlow, NumPy and Pandas

deap

Distributed Evolutionary Algorithms in Python

decision-forests

A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.

deep-learning-for-computer-vision

Deep Learning for Computer Vision, by Packt

deep-learning-in-production

In this repository, I will share some useful notes and references about deploying deep learning-based models in production.

deep-learning-with-pytorch

Deep Learning with PyTorch, published by Packt

deep-learning-with-tensorflow-second-edition

Deep Learning with TensorFlow – Second Edition, published by Packt

deep-reinforcement-learning-algorithms-with-pytorch

PyTorch implementations of deep reinforcement learning algorithms and environments

deepctr

Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

deeplab2

DeepLab2 is a TensorFlow library for deep labeling, aiming to provide a unified and state-of-the-art TensorFlow codebase for dense pixel labeling tasks.

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

deeppavlov

An open source library for deep learning end-to-end dialog systems and chatbots.

deepspeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

deepvoice3_pytorch

PyTorch implementation of convolutional neural networks-based text-to-speech synthesis models

delta

An open-source storage layer that brings scalable, ACID transactions to Apache Spark™ and big data workloads.