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mikechen66's Projects

fma icon fma

FMA: A Dataset For Music Analysis

folly icon folly

An open-source C++ library developed and used at Facebook.

foundationdb icon foundationdb

FoundationDB - the open source, distributed, transactional key-value store

freebsd-src icon freebsd-src

FreeBSD src tree (read-only mirror). The FreeBSD documentation is regarded as the most classical version of Unix system.

freecodecamp icon freecodecamp

freeCodeCamp.org's open source codebase and curriculum. Learn to code for free.

gevent icon gevent

Coroutine-based concurrency library for Python

giraffe icon giraffe

This repository will contain the code for the CVPR 2021 paper "GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields"

github-chinese-top-charts icon github-chinese-top-charts

:cn: GitHub中文排行榜,帮助你发现高分优秀中文项目、更高效地吸收国人的优秀经验成果;榜单每周更新一次,敬请关注!

github-ranking icon github-ranking

:star:Github Ranking:star: Github stars and forks ranking list. Github Top100 stars list of different languages. Automatically update daily. | Github仓库排名,每日自动更新

glibc icon glibc

Unofficial mirror of sourceware glibc repository. Updated daily.

glove icon glove

Software in C and data files for the popular GloVe model for distributed word representations, a.k.a. word vectors or embeddings

gluecos icon gluecos

A benchmark for code-switched NLP, ACL 2020

gnn-tf2 icon gnn-tf2

TensorFlow 2 library implementing Graph Neural Networks

gpt-2 icon gpt-2

Code for the paper "Language Models are Unsupervised Multitask Learners"

gpt-3 icon gpt-3

GPT-3: Language Models are Few-Shot Learners

gpt-neo icon gpt-neo

An implementation of model parallel GPT2& GPT3-like models, with the ability to scale up to full GPT3 sizes (and possibly more!), using the mesh-tensorflow library.

gpu-gems-book-source-code icon gpu-gems-book-source-code

:cd: CD Content ( Source Code ) Collection of Book <GPU Gems > 1~ 3 | 《GPU精粹》 1~ 3 随书CD(源代码)珍藏

gpu-program-development icon gpu-program-development

GPU is playing the most important role in the high performance computing in the fields of deep learning. However, developers are lacks of learning materials in the road ahead. The resources are imperative for the developers to master the emerging CUDA technology.

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