51. Fe《我的职业是前端工程师》 - Ebook:I'm a FrontEnd Developer
54. Mtbook《机器翻译:基础与模型》肖桐 朱靖波 著 - Machine Translation: Foundations and Models
55. DatavizA book covering the fundamentals of data visualization
57. QiskitQiskit is an open-source SDK for working with quantum computers at the level of circuits, algorithms, and application modules.
60. StumpySTUMPY is a powerful and scalable Python library for modern time series analysis
61. SootSoot - A Java optimization framework
65. Kaggle Crowdflower1st Place Solution for CrowdFlower Product Search Results Relevance Competition on Kaggle.
66. OilOil is a new Unix shell. It's our upgrade path from bash to a better language and runtime. It's also for Python and JavaScript users who avoid shell!
67. DruidApache Druid: a high performance real-time analytics database.
69. CycleganSoftware that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
72. Thinkpython2LaTeX source and supporting code for Think Python, 2nd edition, by Allen Downey.
73. MiriAn interpreter for Rust's mid-level intermediate representation
74. BookA textbook on informal homotopy type theory
76. Kaldikaldi-asr/kaldi is the official location of the Kaldi project.
78. Esl CnThe Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。
80. WiringpiGordon's Arduino wiring-like WiringPi Library for the Raspberry Pi (Unofficial Mirror for WiringPi bindings)
81. ServerlessServerless 架构应用开发指南 - Serverless Architecture Application Development Guide with Serverless Framework.
82. Conv arithmeticA technical report on convolution arithmetic in the context of deep learning
86. WccThe Witchcraft Compiler Collection
90. FruitFruit, a dependency injection framework for C++
91. Groovy Coreformer home of the groovy programming language, moved to https://github.com/apache/groovy
92. AgdaAgda is a dependently typed programming language / interactive theorem prover.
93. TlaplusTLC is an explicit state model checker for specifications written in TLA+. The TLA+Toolbox is an IDE for TLA+.
97. Technical book dlThis note presents in a technical though hopefully pedagogical way the three most common forms of neural network architectures: Feedforward, Convolutional and Recurrent.
98. ManimAnimation engine for explanatory math videos