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Repository	⭐ Stars	🍴 Forks	Ratio
academic/awesome-datascience	17,222	858	20.07
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sindresorhus/awesome	5,164	447	11.55
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vinta/awesome-python	4,712	403	11.69
donnemartin/system-design-primer	4,504	408	11.04
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kamranahmedse/developer-roadmap	4,362	377	11.57
public-apis/public-apis	4,199	297	14.14
josephmisiti/awesome-machine-learning	4,009	328	12.22
ossu/computer-science	3,733	299	12.48
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donnemartin/data-science-ipython-notebooks	3,283	308	10.66
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tensorflow/tensorflow	3,189	409	7.80
jlevy/the-art-of-command-line	3,025	166	18.22
huggingface/transformers	2,952	251	11.76
yangshun/tech-interview-handbook	2,917	174	16.76
microsoft/ML-For-Beginners	2,896	284	10.20
trekhleb/javascript-algorithms	2,824	247	11.43
papers-we-love/papers-we-love	2,673	117	22.85
Avik-Jain/100-Days-Of-ML-Code	2,635	242	10.89
awesome-selfhosted/awesome-selfhosted	2,633	122	21.58
danistefanovic/build-your-own-x	2,577	187	13.78
eugeneyan/applied-ml	2,531	144	17.58
Developer-Y/cs-video-courses	2,524	169	14.93
ripienaar/free-for-dev	2,498	150	16.65
jakevdp/PythonDataScienceHandbook	2,491	351	7.10
microsoft/Data-Science-For-Beginners	2,486	186	13.37
binhnguyennus/awesome-scalability	2,406	138	17.43
practical-tutorials/project-based-learning	2,398	202	11.87
prakhar1989/awesome-courses	2,382	162	14.70
Hack-with-Github/Awesome-Hacking	2,325	112	20.76
codecrafters-io/build-your-own-x	2,310	175	13.20
awesomedata/awesome-public-datasets	2,309	198	11.66
MunGell/awesome-for-beginners	2,288	99	23.11
FavioVazquez/ds-cheatsheets	2,286	205	11.15
MrMimic/data-scientist-roadmap	2,277	220	10.35
ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code	2,186	170	12.86
sdmg15/Best-websites-a-programmer-should-visit	2,185	154	14.19
trekhleb/homemade-machine-learning	2,179	150	14.53
scikit-learn/scikit-learn	2,150	256	8.40
getify/You-Dont-Know-JS	2,133	210	10.16
f/awesome-chatgpt-prompts	2,127	114	18.66
pytorch/pytorch	2,126	194	10.96
ChristosChristofidis/awesome-deep-learning	2,123	159	13.35
microsoft/Web-Dev-For-Beginners	2,103	130	16.18
avelino/awesome-go	2,087	115	18.15
bregman-arie/devops-exercises	2,064	116	17.79
flutter/flutter	2,041	112	18.22
AMAI-GmbH/AI-Expert-Roadmap	1,970	87	22.64
florinpop17/app-ideas	1,961	106	18.50
n8n-io/n8n	1,939	101	19.20
ml-tooling/best-of-ml-python	1,912	105	18.21
gothinkster/realworld	1,909	95	20.09
microsoft/generative-ai-for-beginners	1,894	246	7.70
tiangolo/fastapi	1,888	80	23.60
30-seconds/30-seconds-of-code	1,861	113	16.47
LeCoupa/awesome-cheatsheets	1,836	115	15.97
3b1b/manim	1,824	95	19.20
ossu/data-science	1,819	135	13.47
streamlit/streamlit	1,818	84	21.64
EthicalML/awesome-production-machine-learning	1,805	98	18.42
facebook/react	1,793	166	10.80
mtdvio/every-programmer-should-know	1,756	103	17.05
github/gitignore	1,735	296	5.86
airbnb/javascript	1,729	148	11.68
DovAmir/awesome-design-patterns	1,726	58	29.76
excalidraw/excalidraw	1,720	88	19.55
keras-team/keras	1,712	148	11.57
bradtraversy/design-resources-for-developers	1,702	128	13.30
sherlock-project/sherlock	1,698	70	24.26
supabase/supabase	1,695	64	26.48
tuvtran/project-based-learning	1,693	168	10.08
jonathan-bower/DataScienceResources	1,685	144	11.70
microsoft/PowerToys	1,684	60	28.07
openai/openai-cookbook	1,679	129	13.02
eriklindernoren/ML-From-Scratch	1,665	131	12.71
datasciencemasters/go	1,662	141	11.79
dair-ai/Prompt-Engineering-Guide	1,652	89	18.56
CorentinJ/Real-Time-Voice-Cloning	1,650	105	15.71
torvalds/linux	1,649	166	9.93
tirthajyoti/Data-science-best-resources	1,648	135	12.21
tauri-apps/tauri	1,647	28	58.82
thedaviddias/Front-End-Checklist	1,639	84	19.51
gto76/python-cheatsheet	1,629	123	13.24
grafana/grafana	1,616	76	21.26
ryanmcdermott/clean-code-javascript	1,613	99	16.29
jaywcjlove/awesome-mac	1,593	80	19.91
enaqx/awesome-react	1,586	99	16.02
ytdl-org/youtube-dl	1,576	116	13.59
mlabonne/llm-course	1,571	96	16.36
AUTOMATIC1111/stable-diffusion-webui	1,544	109	14.17
Asabeneh/30-Days-Of-Python	1,521	128	11.88
pandas-dev/pandas	1,519	180	8.44
gradio-app/gradio	1,519	51	29.78
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