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Mohan Zhang's Projects

chineseocr_lite icon chineseocr_lite

超轻量级中文ocr,支持竖排文字识别, 支持ncnn、mnn、tnn推理 ( dbnet(1.8M) + crnn(2.5M) + anglenet(378KB)) 总模型仅4.7M

civ6-ynamp icon civ6-ynamp

Yet (not) Another Maps Pack for Civilization VI

client icon client

🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.

clip icon clip

Contrastive Language-Image Pretraining

coil icon coil

NAACL2021 - COIL Contextualized Lexical Retriever

comic-translation icon comic-translation

基于深度学习的漫画翻译辅助工具,包含翻译、朗读、图像去字、自动嵌字功能。 目的是帮助非专业汉化人员完成更简单,快速的翻译任务。

condenser icon condenser

EMNLP 2021 - Pre-training architectures for dense retrieval

contriever icon contriever

Contriever: Unsupervised Dense Information Retrieval with Contrastive Learning

conv_arithmetic icon conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

cookiecutter icon cookiecutter

A cross-platform command-line utility that creates projects from cookiecutters (project templates), e.g. Python package projects, C projects.

crafter icon crafter

Benchmarking the Spectrum of Agent Capabilities

d2l-en icon d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.

d3rlpy icon d3rlpy

An offline deep reinforcement learning library

d4rl icon d4rl

A benchmark for offline reinforcement learning.

dalle-pytorch icon dalle-pytorch

Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch

dalle2-pytorch icon dalle2-pytorch

Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch

ddsp icon ddsp

DDSP: Differentiable Digital Signal Processing

decision-transformer icon decision-transformer

Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.

deepmind-research icon deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

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