Related Repositories for HIPS/autograd

Repository	⭐ Stars	🍴 Forks	Ratio
HIPS/autograd	7,357	323	22.78
tensorflow/tensorflow	3,203	995	3.22
google/jax	3,031	241	12.58
pytorch/pytorch	2,806	565	4.97
tensorflow/models	2,417	475	5.09
ray-project/ray	1,912	151	12.66
scikit-learn/scikit-learn	1,907	574	3.32
huggingface/transformers	1,812	301	6.02
openai/gym	1,739	200	8.70
josephmisiti/awesome-machine-learning	1,684	219	7.69
sindresorhus/awesome	1,655	170	9.74
facebookresearch/faiss	1,653	79	20.92
TheAlgorithms/Python	1,644	179	9.18
dmlc/xgboost	1,643	207	7.94
google-research/google-research	1,622	109	14.88
donnemartin/system-design-primer	1,610	110	14.64
vinta/awesome-python	1,596	183	8.72
fchollet/keras	1,571	354	4.44
aymericdamien/TensorFlow-Examples	1,566	248	6.31
3b1b/manim	1,565	69	22.68
BVLC/caffe	1,564	355	4.41
CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers	1,534	229	6.70
JuliaLang/julia	1,412	142	9.94
fastai/fastai	1,406	155	9.07
facebookresearch/fastText	1,380	109	12.66
terryum/awesome-deep-learning-papers	1,362	123	11.07
microsoft/DeepSpeed	1,361	78	17.45
python/cpython	1,327	225	5.90
pytorch/examples	1,324	264	5.02
jlevy/the-art-of-command-line	1,319	69	19.12
facebookresearch/Detectron	1,316	105	12.53
tqdm/tqdm	1,309	45	29.09
google-research/bert	1,305	121	10.79
torvalds/linux	1,294	172	7.52
dennybritz/reinforcement-learning	1,284	171	7.51
ggerganov/llama.cpp	1,283	69	18.59
yunjey/pytorch-tutorial	1,274	151	8.44
slundberg/shap	1,246	64	19.47
papers-we-love/papers-we-love	1,231	67	18.37
onnx/onnx	1,213	75	16.17
explosion/spaCy	1,205	88	13.69
numpy/numpy	1,202	218	5.51
jwasham/coding-interview-university	1,160	163	7.12
HarisIqbal88/PlotNeuralNet	1,152	63	18.29
cupy/cupy	1,151	41	28.07
google/python-fire	1,151	30	38.37
tensorflow/tensor2tensor	1,148	91	12.62
streamlit/streamlit	1,136	43	26.42
github/gitignore	1,125	260	4.33
tiangolo/fastapi	1,125	35	32.14
facebookresearch/detectron2	1,115	100	11.15
CompVis/stable-diffusion	1,113	67	16.61
openai/baselines	1,112	111	10.02
pjreddie/darknet	1,110	151	7.35
karpathy/nanoGPT	1,107	91	12.16
deepmind/sonnet	1,100	53	20.75
spotify/annoy	1,091	48	22.73
rust-lang/rust	1,075	93	11.56
eriklindernoren/ML-From-Scratch	1,073	107	10.03
lutzroeder/netron	1,063	46	23.11
tesseract-ocr/tesseract	1,052	63	16.70
danistefanovic/build-your-own-x	1,045	53	19.72
rusty1s/pytorch_geometric	1,038	69	15.04
donnemartin/data-science-ipython-notebooks	1,038	112	9.27
blei-lab/edward	1,036	96	10.79
opencv/opencv	1,030	169	6.09
rwightman/pytorch-image-models	1,030	68	15.15
jtoy/awesome-tensorflow	1,008	91	11.08
allenai/allennlp	1,008	74	13.62
matterport/Mask_RCNN	1,005	129	7.79
vdumoulin/conv_arithmetic	1,004	80	12.55
karpathy/minGPT	1,004	66	15.21
numba/numba	1,002	57	17.58
openai/gpt-2	1,001	79	12.67
pybind/pybind11	997	53	18.81
neovim/neovim	997	49	20.35
hwchase17/langchain	989	64	15.45
sebastianruder/NLP-progress	983	71	13.85
norvig/pytudes	979	60	16.32
jakevdp/PythonDataScienceHandbook	968	141	6.87
facebookresearch/visdom	968	44	22.00
Theano/Theano	966	152	6.36
nvbn/thefuck	966	31	31.16
rlabbe/Kalman-and-Bayesian-Filters-in-Python	964	109	8.84
marcotcr/lime	959	50	19.18
gradio-app/gradio	959	31	30.94
isocpp/CppCoreGuidelines	957	49	19.53
openai/whisper	956	45	21.24
robbyrussell/oh-my-zsh	955	110	8.68
CMU-Perceptual-Computing-Lab/openpose	950	97	9.79
soumith/ganhacks	949	65	14.60
facebook/react	948	84	11.29
keras-team/keras	944	169	5.59
arogozhnikov/einops	943	26	36.27
commaai/openpilot	943	54	17.46
songrotek/Deep-Learning-Papers-Reading-Roadmap	941	113	8.33
NVIDIA/nvidia-docker	939	39	24.08
golang/go	932	77	12.10
dask/dask	930	74	12.57
Microsoft/CNTK	926	81	11.43