removed dupes

This commit is contained in:
Sid
2023-12-26 18:20:49 +06:00
parent 76bb2394a1
commit 7bb19c453c
21 changed files with 32 additions and 62 deletions

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@@ -929,9 +929,8 @@
* [multi-gitter](https://github.com/lindell/multi-gitter) - Bulk Repository Updater
* [Meld](https://meldmerge.org/) - Git Visual Diff / Merge Tool
* [Ugit](https://github.com/Bhupesh-V/ugit) - Undo Git Commands
* [Onefetch](https://github.com/o2sh/onefetch) - Git Repo Summary in Terminal
* [Onefetch](https://github.com/o2sh/onefetch) - Command-line Git information tool
* [Sourcegraph](https://about.sourcegraph.com/) - Git Repository Sourcegraph Editor
* [onefetch](https://github.com/o2sh/onefetch) - Git Information Terminal
* [Conventional Commits](https://www.conventionalcommits.org/) - Commit Message Specification
* [AICommits](https://github.com/Nutlope/aicommits) - Auto Commit Messages
* [lastversion](https://github.com/dvershinin/lastversion) or [ghrel](https://github.com/jreisinger/ghrel) - Download / View Latest Stable Repos
@@ -964,7 +963,6 @@
* [ActionServerless](https://github.com/gitx-io/ActionServerless) - Create Serverless Service
* [Rahularity](https://gist.github.com/rahularity/86da20fe3858e6b311de068201d279e3) - Use Multiple Git Accounts at Once
* [dotfiles](https://dotfiles.github.io/) - GitHub Dotfiles
* [Refined GitHub](https://github.com/refined-github/refined-github) - Simplifies GitHub Interface & Adds Features
* [Gidget](https://github.com/GDGVIT/gidget) - GitHub Notifications / Android
* [GitHub Web IDE](https://github.com/zvizvi/GitHub-Web-IDE) - Web IDE
* [Octobox](https://octobox.io/), [Gitify](https://www.gitify.io/), [advanced-github-notifier](https://github.com/freaktechnik/advanced-github-notifier), [PR Monitor](https://github.com/fwouts/prmonitor), [CatLight](https://catlight.io/) or [Ghostly](https://ghostlyapp.net/) / [GitHub](https://github.com/patriksvensson/ghostly) - GitHub Notifications
@@ -1274,7 +1272,7 @@
* [Blazepack](https://github.com/ameerthehacker/blazepack) or [DevPod](https://devpod.sh) - Development Environment
* [bloop](https://bloop.ai/) - IDE AI Suggestion Extension
* [glot.io](https://glot.io/) - Pastebin with Runnable Snippets, API & Compiler
* [myCompiler](https://www.mycompiler.io/), [Compiler Explorer](https://compiler-explorer.com/), [IDE One](https://www.ideone.com/), [GodBolt](https://godbolt.org/) or [Wandbox](https://wandbox.org/) - Compiler Explorers
* [myCompiler](https://www.mycompiler.io/), [Compiler Explorer](https://compiler-explorer.com/), [GodBolt](https://godbolt.org/) or [Wandbox](https://wandbox.org/) - Compiler Explorers
* [DogBolt](https://dogbolt.org/) or [Decompiler Explorer](https://github.com/decompiler-explorer/decompiler-explorer) - Decompiler Explorers
* [Notebooks.azure](https://visualstudio.microsoft.com/vs/features/notebooks-at-microsoft/) - Access Jupyter Notebooks in VS Code
* [NBviewer](https://nbviewer.org/) - Jupyter Notebook Sharing
@@ -1455,19 +1453,17 @@
***[Hugging Face](https://huggingface.co/)** or [OpenML](https://www.openml.org/) - Machine Learning Datasets
* [Machine Learning Roadmap](https://rentry.org/machine-learning-roadmap) - Learn Machine Learning
* [LLM Training](https://rentry.org/llm-training) - LLM Training Guide
* [TensorFlow](https://www.tensorflow.org/) - Create Machine Learning Models
* [TeachableMachine](https://teachablemachine.withgoogle.com/) or [TensorFlow](https://www.tensorflow.org/) - Create Machine Learning Models
* [OpenAIPlayground](https://github.com/nat/openplayground)
* [DVC](https://dvc.org/) - Machine Learning Version Control
* [DeepSpeed](https://github.com/microsoft/DeepSpeed) - Deep Learning Optimization Library
* [FlowiseAI](https://flowiseai.com/) - LLM Flow Visualization
* [TeachableMachine](https://teachablemachine.withgoogle.com/) or [TensorFlow](https://www.tensorflow.org/) - Create Machine Learning Models
* [Netron](https://github.com/lutzroeder/netron) - Visualizer for Neural Network, Deep Learning, and Machine Learning Models
* [Scikit Learn](https://github.com/scikit-learn/scikit-learn) - Machine Learning Library for Python
* [Kobra](https://kobra.dev/) - Visual Programming Language for Machine Learning
* [DialoGPT](https://github.com/microsoft/DialoGPT) - Dialogue Machine Learning Model
* [MMDeploy](https://github.com/open-mmlab/mmdeploy) - Deep Learning Model Deployment Toolset
* [DeepSpeed](https://github.com/microsoft/DeepSpeed) - Deep Learning Optimization Library
* [Netron](https://github.com/lutzroeder/netron) - Visualizer for Neural Network, Deep Learning, and Machine Learning Models
* [MLC LLM](https://github.com/mlc-ai/mlc-llm) - Native Language Model Deployment
* [Shap](https://github.com/shap/shap) - Language Model Response Analyzer
* [Langchain](https://github.com/langchain-ai/langchain) - Build Apps via LLM
@@ -1479,6 +1475,5 @@
* [ML Course Notes](https://github.com/dair-ai/ML-Course-Notes) - Machine Learning Course Notes
* [100-Days-Of-ML-Code](https://github.com/Avik-Jain/100-Days-Of-ML-Code) or [Practical Deep Learning](https://course.fast.ai/) - Machine Learning Coding Lessons
* [minitorch](https://github.com/minitorch/minitorch) - Machine Learning Engineering Course Code
* [Approaching (Almost) Any Machine Learning Problem](https://github.com/abhishekkrthakur/approachingalmost/blob/master/AAAMLP.pdf) - Machine Learning Problem Solving Book
* [ML-Youtube-Courses](https://github.com/dair-ai/ML-YouTube-Courses) - Machine Learning Courses on YouTube
* [Cyberbotics](https://cyberbotics.com/) - Robot Simulator