Robot Updated at:5 Feb 2025 21:11:18 GMT

Author: yiliuyan161

docs/awesome/awesome-agi-cocosci.md

@@ -229,7 +229,7 @@ Contributions are greatly welcomed! Please refer to [Contribution Guidelines](ht
 
 * [A Theory of Generative ConvNet](https://proceedings.mlr.press/v48/xiec16.html) - ***ICML'16***, 2016. [[All Versions](https://scholar.google.com/scholar?cluster=11062907630625111054&hl=en&as_sdt=2005&sciodt=0,5)]. 
 
-* [Cooperative Training of Descriptor and Generator Networks](https://ieeexplore.ieee.org/ielaam/34/8922815/8519332-aam.pdf) - ***IEEE Transactions on Pattern Analysis and Machine Intelligence***, 2018. [[All Versions](https://scholar.google.com/scholar?cluster=18202808849093155435&hl=en&as_sdt=0,5)].
+* [Cooperative Training of Descriptor and Generator Networks](https://ieeexplore.ieee.org/abstract/document/8519332) - ***IEEE Transactions on Pattern Analysis and Machine Intelligence***, 2018. [[All Versions](https://scholar.google.com/scholar?cluster=18202808849093155435)]. This paper studies the cooperative training of two generative models for image modeling and synthesis. Both models are parametrized by convolutional neural networks (ConvNets). The first model is a deep energy-based model, whose energy function is defined by a bottom-up ConvNet, which maps the observed image to the energy. We call it the descriptor network. The second model is a generator network, which is a non-linear version of factor analysis. It is defined by a top-down ConvNet, which maps the latent factors to the observed image. The maximum likelihood learning algorithms of both models involve MCMC sampling such as Langevin dynamics. This work observes that the two learning algorithms can be seamlessly interwoven into a cooperative learning algorithm that can train both models simultaneously. Specifically, within each iteration of the cooperative learning algorithm, the generator model generates initial synthesized examples to initialize a finite-step MCMC that samples and trains the energy-based descriptor model. After that, the generator model learns from how the MCMC changes its synthesized examples. That is, the descriptor model teaches the generator model by MCMC, so that the generator model accumulates the MCMC transitions and reproduces them by direct ancestral sampling.
 
 * [Learning Latent Space Energy-Based Prior Model](https://proceedings.neurips.cc/paper/2020/hash/fa3060edb66e6ff4507886f9912e1ab9-Abstract.html) - ***NeurIPS'20***, 2020. [[All Versions](https://scholar.google.com/scholar?oi=bibs&hl=en&cluster=9945264852135249894)]. [[Project](https://bpucla.github.io/latent-space-ebm-prior-project/)]. [[Code](https://github.com/bpucla/latent-space-EBM-prior)]. A milestone paper on Latent Energy-Based Model.
 

docs/awesome/awesome-angular.md

@@ -51,6 +51,7 @@ Current Angular version: [![npm version](https://badge.fury.io/js/%40angular%2Fc
 * [angular-memes](https://github.com/dzhavat/angular-memes) - A collection of Angular memes.
 * [ngx.tools](https://github.com/ngxtools/ngx.tools) - Discover Angular packages, libraries and schematics with this [search engine](https://ngx.tools).
 * [builtwith trends](https://trends.builtwith.com/framework/Angular) - Angular Usage Statistics.
+* [Angular: The Documentary | An origin story](https://www.youtube.com/watch?v=cRC9DlH45lA)
 
 ##### Newsletters
 

docs/awesome/awesome-cl.md

@@ -316,10 +316,7 @@ Docker images
   * for Ubuntu, OSX and Windows.
   * Example use: [Trial's CI](https://github.com/Shirakumo/trial/blob/master/.github/workflows/examples.yml)
 * [archlinux-cl](https://github.com/yitzchak/archlinux-cl) - Docker Arch Linux image with Common Lisp implementations (7 to this day). MIT.
-
-See also:
-
-* another [GitHub CI example from cookiecutter-lisp-game](https://github.com/lockie/cookiecutter-lisp-game/blob/main/%7B%7Bcookiecutter.project_slug%7D%7D/.github/workflows/package.yml) to build binaries on the three platforms.
+* [docker-lisp-gamedev](https://gitlab.com/lockie/docker-lisp-gamedev) - A Docker image containing tools necessary for Common Lisp game development and deployment. Comes in Linux and Windows variety. Thoroughly tested via CI.
 
 
 Foreign Function Interface, languages interop
@@ -1964,6 +1961,7 @@ Project skeletons
 * [cl-project-with-docs](https://github.com/40ants/cl-project-with-docs) - uses Sphinx and reStructured text to render nice and readable HTML documentation. [BSD][15].
 * [cl-cookieproject](https://github.com/vindarel/cl-cookieproject) -  Generate a ready-to-use Common Lisp project. Not in Quicklisp. [BSD_3Clause][15].
   * test definitions, entry point to run from sources, build a binary, Roswell integration…
+* [cookiecutter-lisp-game](https://github.com/lockie/cookiecutter-lisp-game) - An opinionated cookiecutter template for Common Lisp videogame projects. Allows to choose [backend middleware library](#graphics) between liballegro, raylib and SDL2. Contains CI scripts using [docker-lisp-gamedev](#docker-images) to automatically build binaries for Windows, MacOS and Linux.
 
 Security
 --------

docs/awesome/awesome-cpp.md

@@ -422,7 +422,6 @@ A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny
 * [libtap](https://github.com/zorgnax/libtap) - Write tests in C. [GPL2]
 * [microprofile](https://github.com/jonasmr/microprofile) - Profiler with web-view for multiple platforms. [Unlicense]
 * [MinUnit](https://github.com/siu/minunit) - A minimal unit testing framework for C self-contained in a single header file. [MIT]
-* [Mockator](http://www.mockator.com) - Eclipse CDT plug-in for C++ Seams and Mock Objects.
 * [nanobench](https://github.com/martinus/nanobench) - Simple, fast, accurate single-header microbenchmarking functionality for C++11/14/17/20. [MIT] [website](https://nanobench.ankerl.com)
 * [Nanotimer](https://github.com/mattreecebentley/plf_nanotimer) - A simple low-overhead cross-platform timer class for benchmarking. [zLib] [website](http://www.plflib.org/nanotimer.htm)
 * [Nonius](https://github.com/libnonius/nonius) - A C++ micro-benchmarking framework. [CC]
@@ -1201,7 +1200,7 @@ A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny
 * [c](https://github.com/ryanmjacobs/c) - Compile and execute C "scripts" in one go! [MIT]
 * [Clang](http://clang.llvm.org/) - A C compiler for LLVM. Supports C++11/14/1z C11. Developed by LLVM Team. [NCSA]
 * [GCC](https://gcc.gnu.org/) - GNU Compiler Collection. Supports C++11/14/1z C11 and OpenMP. [GNU GPL3]
-* [PCC](http://pcc.ludd.ltu.se/) - A very old C compiler. Supports C99.
+* [PCC](https://github.com/IanHarvey/pcc) - A very old C compiler. Supports C99.
 * [AMD C++ Compiler](https://www.amd.com/en/developer/aocc.html) - Developed by AMD.
 * [Intel C++ Compiler](https://software.intel.com/en-us/c-compilers) - Developed by Intel.
 * [LLVM](http://llvm.org/) - Collection of modular and reusable compiler and toolchain technologies.
@@ -1214,7 +1213,6 @@ A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny
 *List of online C or C++ compilers*
 
 * [codechef](https://www.codechef.com/ide) - A simple online compiler CodeChef.
-* [codepad](http://codepad.org/) - An online compiler/interpreter, and a simple collaboration tool.
 * [coliru](http://coliru.stacked-crooked.com/) - Online compiler/shell with support for various C++ compilers.
 * [Compiler Explorer](http://gcc.godbolt.org/) - An interactive compiler with assembly output available.
 * [CompileOnline](http://www.tutorialspoint.com/codingground.htm) - Compile and Execute C++ online on Linux.
@@ -1283,7 +1281,7 @@ A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny
 * [Ninja](https://ninja-build.org/) - A small build system with a focus on speed.
 * [Sccache](https://github.com/mozilla/sccache) - A fast compiler cache for C/C++, with cross-platform support and cloud backed storage options.
 * [Scons](http://www.scons.org/) - A software construction tool configured with a Python script.
-* [Sconsolidator](http://www.sconsolidator.com/) - Scons build system integration for Eclipse CDT.
+* [Sconsolidator](https://github.com/IFS-HSR/SConsolidator) - Scons build system integration for Eclipse CDT.
 * [Spack](https://spack.io/) - A flexible package manager that supports multiple versions, configurations, platforms, and compilers. [Apache-2.0/MIT]
 * [SW](https://software-network.org/) - Cross-platform C++ (and other langs) Build System and Package Manager with a lot of packages available. [GPLv3]
 * [tundra](https://github.com/deplinenoise/tundra) - High-performance code build system designed to give the best possible incremental build times even for very large software projects.
@@ -1422,7 +1420,7 @@ A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny
 * [Guru of the Week](http://www.gotw.ca/gotw/) - A regular series of C++ programming problems created and written by Herb Sutter.
 * [Meeting C++](http://meetingcpp.com/)
 * [PVS-Studio’s challenge](https://quiz.pvs-studio.com) - PVS-Studio’s C++ quiz in which you're asked to find errors in code fragments of open source projects.
-* [Udemy C++ Courses and Tutorials](https://www.udemy.com/topic/C-plus-plus-tutorials/)
+* [Udemy C++ Courses and Tutorials](https://www.udemy.com/topic/c-plus-plus/)
 * [C++ Hints](http://cpphints.com/) - Every business day hints about most often C++ mistakes and ways to solve them from PVS-Studio Team.
 * [C++ tutorial](https://hackr.io/tutorials/learn-c-plus-plus) - A user ranked online tutorial bank site displaying multiple courses to learn C++ from.
 * [C++ Tutorial for Beginners](https://www.scaler.com/topics/cpp) - A comprenhensive tutorial on C++ curated by trained experts.

docs/awesome/awesome-cyber-security-university.md

@@ -133,7 +133,7 @@ Pull requests are welcome with the condition that the resource should be free! P
 
 ### Level 5 - Reverse Engineering & Pwn
 
-* [Intro to x86 64](https://github.com/brootware/awesome-cyber-security-university/blob/master/<https://tryhackme.com/room/introtox8664>) - This room teaches the basics of x86-64 assembly language.
+* [Windows x64 Assembly](https://github.com/brootware/awesome-cyber-security-university/blob/master/<https://tryhackme.com/r/room/win64assembly>) - Introduction to x64 Assembly on Windows.
 * [CC Ghidra](https://github.com/brootware/awesome-cyber-security-university/blob/master/<https://tryhackme.com/room/ccghidra>) - This room teaches the basics of ghidra.
 * [CC Radare2](https://github.com/brootware/awesome-cyber-security-university/blob/master/<https://tryhackme.com/room/ccradare2>) - This room teaches the basics of radare2.
 * [Reverse Engineering](https://github.com/brootware/awesome-cyber-security-university/blob/master/<https://tryhackme.com/room/reverseengineering>) - This room focuses on teaching the basics of assembly through reverse engineering.