Related Repositories for soulmachine/machine-learning-cheat-sheet

Repository	⭐ Stars	🍴 Forks	Ratio
soulmachine/machine-learning-cheat-sheet	7,805	380	20.54
donnemartin/system-design-primer	2,350	214	10.98
tensorflow/tensorflow	2,296	503	4.56
TheAlgorithms/Python	2,269	231	9.82
sindresorhus/awesome	2,112	235	8.99
josephmisiti/awesome-machine-learning	2,077	293	7.09
vinta/awesome-python	2,004	255	7.86
jwasham/coding-interview-university	1,826	240	7.61
kamranahmedse/developer-roadmap	1,680	141	11.91
jlevy/the-art-of-command-line	1,630	117	13.93
tensorflow/models	1,579	276	5.72
scikit-learn/scikit-learn	1,538	325	4.73
pytorch/pytorch	1,444	206	7.01
papers-we-love/papers-we-love	1,436	83	17.30
huggingface/transformers	1,422	170	8.36
EbookFoundation/free-programming-books	1,373	149	9.21
Developer-Y/cs-video-courses	1,351	93	14.53
yangshun/tech-interview-handbook	1,349	94	14.35
ossu/computer-science	1,304	120	10.87
donnemartin/data-science-ipython-notebooks	1,272	161	7.90
aymericdamien/TensorFlow-Examples	1,260	180	7.00
CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers	1,248	213	5.86
Avik-Jain/100-Days-Of-ML-Code	1,219	98	12.44
jakevdp/PythonDataScienceHandbook	1,201	177	6.79
terryum/awesome-deep-learning-papers	1,197	107	11.19
danistefanovic/build-your-own-x	1,193	79	15.10
3b1b/manim	1,191	64	18.61
public-apis/public-apis	1,161	73	15.90
getify/You-Dont-Know-JS	1,145	100	11.45
prakhar1989/awesome-courses	1,143	141	8.11
github/gitignore	1,139	253	4.50
eriklindernoren/ML-From-Scratch	1,118	131	8.53
google-research/google-research	1,069	86	12.43
trimstray/the-book-of-secret-knowledge	1,035	66	15.68
eugeneyan/applied-ml	1,033	74	13.96
torvalds/linux	1,021	147	6.95
microsoft/ML-For-Beginners	1,018	76	13.39
vhf/free-programming-books	1,003	175	5.73
BVLC/caffe	1,002	174	5.76
ChristosChristofidis/awesome-deep-learning	1,001	133	7.53
google/jax	999	42	23.79
ray-project/ray	987	57	17.32
dmlc/xgboost	986	124	7.95
trekhleb/javascript-algorithms	979	74	13.23
facebook/react	975	102	9.56
ripienaar/free-for-dev	972	60	16.20
facebookresearch/fastText	955	74	12.91
fastai/fastai	953	131	7.27
avelino/awesome-go	947	77	12.30
ageron/handson-ml	938	134	7.00
airbnb/javascript	937	82	11.43
tiangolo/fastapi	934	40	23.35
ZuzooVn/machine-learning-for-software-engineers	928	122	7.61
openai/gym	925	85	10.88
faif/python-patterns	920	113	8.14
fchollet/keras	914	132	6.92
f/awesome-chatgpt-prompts	912	39	23.38
nvbn/thefuck	908	29	31.31
dair-ai/Prompt-Engineering-Guide	906	38	23.84
ggerganov/llama.cpp	897	41	21.88
afshinea/stanford-cs-229-machine-learning	897	93	9.65
facebookresearch/faiss	894	52	17.19
labuladong/fucking-algorithm	893	83	10.76
d2l-ai/d2l-en	887	70	12.67
streamlit/streamlit	885	38	23.29
binhnguyennus/awesome-scalability	877	62	14.15
jtoy/awesome-tensorflow	864	75	11.52
yunjey/pytorch-tutorial	863	99	8.72
golang/go	862	81	10.64
robbyrussell/oh-my-zsh	862	110	7.84
ujjwalkarn/Machine-Learning-Tutorials	860	95	9.05
fastai/fastbook	856	72	11.89
JuliaLang/julia	850	88	9.66
openai/openai-cookbook	847	51	16.61
flutter/flutter	839	46	18.24
google-research/bert	836	89	9.39
microsoft/DeepSpeed	832	26	32.00
commaai/openpilot	826	40	20.65
dennybritz/reinforcement-learning	825	116	7.11
ageitgey/face_recognition	825	75	11.00
scrapy/scrapy	825	87	9.48
hwchase17/langchain	822	44	18.68
satwikkansal/wtfpython	822	34	24.18
oxford-cs-deepnlp-2017/lectures	821	85	9.66
sdmg15/Best-websites-a-programmer-should-visit	820	58	14.14
kailashahirwar/cheatsheets-ai	818	84	9.74
trekhleb/homemade-machine-learning	812	63	12.89
norvig/pytudes	811	65	12.48
fffaraz/awesome-cpp	809	74	10.93
explosion/spaCy	806	75	10.75
rasbt/LLMs-from-scratch	805	41	19.63
donnemartin/interactive-coding-challenges	803	74	10.85
sebastianruder/NLP-progress	802	59	13.59
Hack-with-Github/Awesome-Hacking	800	61	13.11
tiimgreen/github-cheat-sheet	800	85	9.41
nomic-ai/gpt4all	796	32	24.88
python/cpython	794	97	8.19
jbhuang0604/awesome-computer-vision	791	80	9.89
excalidraw/excalidraw	788	22	35.82
caesar0301/awesome-public-datasets	787	95	8.28