Related Repositories for higgsfield/RL-Adventure

Repository	⭐ Stars	🍴 Forks	Ratio
higgsfield/RL-Adventure	3,111	205	15.18
dennybritz/reinforcement-learning	1,073	181	5.93
openai/baselines	915	141	6.49
tensorflow/models	897	208	4.31
tensorflow/tensorflow	889	325	2.74
openai/gym	885	177	5.00
pytorch/pytorch	846	178	4.75
higgsfield/RL-Adventure-2	822	87	9.45
ShangtongZhang/reinforcement-learning-an-introduction	771	130	5.93
ray-project/ray	742	85	8.73
yunjey/pytorch-tutorial	709	112	6.33
pytorch/examples	690	140	4.93
yandexdataschool/Practical_RL	671	90	7.46
google-research/google-research	648	64	10.12
aymericdamien/TensorFlow-Examples	637	106	6.01
TheAlgorithms/Python	622	50	12.44
openai/spinningup	600	73	8.22
donnemartin/system-design-primer	590	47	12.55
facebookresearch/Detectron	590	46	12.83
google/jax	586	31	18.90
huggingface/transformers	573	115	4.98
aikorea/awesome-rl	570	70	8.14
terryum/awesome-deep-learning-papers	569	59	9.64
google/dopamine	569	36	15.81
fastai/fastai	556	79	7.04
josephmisiti/awesome-machine-learning	552	85	6.49
ShangtongZhang/DeepRL	520	64	8.12
sindresorhus/awesome	504	58	8.69
p-christ/Deep-Reinforcement-Learning-Algorithms-with-PyTorch	496	48	10.33
HarisIqbal88/PlotNeuralNet	490	20	24.50
vinta/awesome-python	488	54	9.04
facebookresearch/faiss	484	15	32.27
Unity-Technologies/ml-agents	484	48	10.08
3b1b/manim	481	20	24.05
rusty1s/pytorch_geometric	481	32	15.03
jwasham/coding-interview-university	471	78	6.04
sebastianruder/NLP-progress	465	28	16.61
rwightman/pytorch-image-models	457	43	10.63
google-research/bert	455	37	12.30
CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers	452	69	6.55
ritchieng/the-incredible-pytorch	450	41	10.98
bharathgs/Awesome-pytorch-list	445	40	11.12
microsoft/DeepSpeed	443	19	23.32
matterport/Mask_RCNN	443	61	7.26
junyanz/pytorch-CycleGAN-and-pix2pix	442	44	10.05
thu-ml/tianshou	442	45	9.82
udacity/deep-reinforcement-learning	441	83	5.31
AtsushiSakai/PythonRobotics	439	51	8.61
eriklindernoren/ML-From-Scratch	439	43	10.21
soumith/ganhacks	435	34	12.79
facebookresearch/fastText	431	41	10.51
oxford-cs-deepnlp-2017/lectures	429	46	9.33
scikit-learn/scikit-learn	426	130	3.28
sweetice/Deep-reinforcement-learning-with-pytorch	425	43	9.88
eriklindernoren/PyTorch-GAN	422	53	7.96
tensorflow/tensor2tensor	419	39	10.74
open-mmlab/mmdetection	415	55	7.55
songrotek/Deep-Learning-Papers-Reading-Roadmap	415	46	9.02
hill-a/stable-baselines	414	38	10.89
karpathy/minGPT	414	13	31.85
fchollet/keras	412	99	4.16
jlevy/the-art-of-command-line	412	20	20.60
facebookresearch/detectron2	412	42	9.81
allenai/allennlp	411	27	15.22
DLR-RM/stable-baselines3	409	57	7.18
ageitgey/face_recognition	403	35	11.51
CMU-Perceptual-Computing-Lab/openpose	400	40	10.00
dmlc/xgboost	395	51	7.75
openai/gpt-2	390	23	16.96
deepmind/sonnet	390	32	12.19
slundberg/shap	389	15	25.93
facebookresearch/visdom	386	26	14.85
danistefanovic/build-your-own-x	384	22	17.45
MorvanZhou/Reinforcement-learning-with-tensorflow	380	71	5.35
deepmind/deepmind-research	379	18	21.06
jtoy/awesome-tensorflow	379	39	9.72
thunlp/GNNPapers	375	17	22.06
wiseodd/generative-models	373	40	9.32
rlabbe/Kalman-and-Bayesian-Filters-in-Python	372	40	9.30
norvig/pytudes	371	27	13.74
ageron/handson-ml	371	68	5.46
aleju/imgaug	371	20	18.55
BVLC/caffe	371	97	3.82
dmlc/dgl	369	25	14.76
pytorch/fairseq	367	46	7.98
zziz/pwc	364	19	19.16
onnx/onnx	358	15	23.87
scutan90/DeepLearning-500-questions	358	32	11.19
karpathy/nanoGPT	355	31	11.45
deepmind/lab	355	28	12.68
streamlit/streamlit	355	17	20.88
papers-we-love/papers-we-love	354	33	10.73
rasbt/deeplearning-models	354	24	14.75
jakevdp/PythonDataScienceHandbook	352	44	8.00
facebookresearch/ParlAI	351	33	10.64
ChristosChristofidis/awesome-deep-learning	351	56	6.27
astooke/rlpyt	349	29	12.03
pjreddie/darknet	349	47	7.43
labuladong/fucking-algorithm	349	35	9.97
vwxyzjn/cleanrl	347	37	9.38