一直follow的Python/统计/AI方向公众号

人工智能的基本思想提出来已经很多年了,在经过高速的发展后目前已经呈现饱和状态了,大厂目前需要的是能够落地的算法工程师,自学人工智能需要系统化的学习,今天给大家推荐10个原创公众号,这些公众号定期会发些高质量原创,希望可以让你更高效的学习。

自动驾驶之心

国内首个自动驾驶开发者社区,欢迎已在或者想要转入自动驾驶方向的同学加入。这里主要关注计算机视觉、深度学习、BEV感知、2D/3D检测、语义/实例/全景分割、深度估计、目标跟踪、多传感器/多模态融合感知、SLAM与高精地图、AI模型部署、领域方案与行业招聘等方向!公众号目前已经输出了几十篇领域综述,形成了完整的计算机视觉与AI学习路线,吸引了众多国内外知名高校硕博以及行业大多数顶尖公司的关注,欢迎加入我们,认认真真学点技术

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深度学习基础与进阶

专注于机器学习,深度学习以及计算机视觉等研究方向,每天会更新人工智能最前沿知识和分享自己的论文总结和学习笔记,让你系统化的学习每个知识点,每天进步一点点。

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计算机视觉工坊

「计算机视觉工坊」公众号,由多位985硕博士共同运营,主要专注3D视觉、计算机视觉算法、SLAM、三维点云处理、三维重建、自动驾驶、图像处理等领域技术干货分享。我们关注计算机视觉算法,更关注计算机视觉产业落地。

关注公众号后台回复「CV」,即可免费领取计算机视觉精品视频与慕尼黑工业大学、巴塞罗那自治大学沉淀多年的计算机视觉课件资料,包括相机标定、立体匹配、三维重建、SLAM、三维点云、缺陷检测、深度估计、四旋翼无人机等。

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深度学习初学者

号主是知名985高校计算机硕士,现为腾讯人工智能算法工程师,为读者提供计算机视觉、自然与语言处理和推荐系统等人工智能领域最前沿和最经典的知识,让你的学习不再碎片化。

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AI有道

一个值得关注的 AI 技术的公众号。作者红色石头是专注于人工智能的 优快云 博客专家和知乎专栏作者。本公众号主要涉及人工智能领域 Python、ML 、CV、NLP 等前沿知识、干货笔记和优质资源!我们致力于为您提供切实可行的 AI 学习路线。

个人网站 :www.redstonewill.com

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数据STUDIO

🏴‍☠️宝藏级🏴‍☠️ 原创公众号 『数据STUDIO』,内容超级硬核,近一年内持续分享170+篇超高质量原创干货。公众号以Python为核心语言,垂直于数据科学领域,包括 PythonMySQL数据分析可视化机器学习与数据挖掘爬虫等相关知识,从入门到进阶!关注后回复【福利】,领取见面礼!

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Pythonic生物人

pythonic生物人,系统分享Python、R、机器学习、统计等数据科学干货,目前已狂肝Python/R可视化100+篇、Python精进50+篇、统计精进等数篇!

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机器学习算法那些事

一个百度人的技术提升之路,为您提供一系列计算机视觉,自然语言处理和推荐系统等高质量技术文章,让您的碎片化时间最大价值化。同时会不定期分享精品免费视频和资源,让您的技术之路不再单调枯燥。

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kaggle竞赛宝典

【Kaggle竞赛宝典】大数据竞赛必备手册,汇集各种黑科技和上分技巧,以及上百竞赛Top方案。

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Python数据之道

「Python数据之道」秉承“让数据更有价值”的理念,号主985高校毕业,是一位跨领域终身学习者。作为非 IT 科班出身、非 IT 行业从业人员,却运营着一个 Python 数据科学和 AI 相关的公众号,并出品了《 Python 知识手册》,手册可通过公号免费获取。欢迎关注,开启共同成长之道。

个人网站:http://liyangbit.com

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WARNING:tensorflow:From /root/Python/conda_lit/kind/lib/python3.6/site-packages/tensorflow/python/compat/v2_compat.py:96: disable_resource_variables (from tensorflow.python.ops.variable_scope) is deprecated and will be removed in a future version. Instructions for updating: non-resource variables are not supported in the long term 2025-07-26 19:47:00.316548: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1 2025-07-26 19:47:00.379323: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1561] Found device 0 with properties: pciBusID: 0000:39:00.0 name: NVIDIA GeForce RTX 4090 computeCapability: 8.9 coreClock: 2.52GHz coreCount: 128 deviceMemorySize: 23.55GiB deviceMemoryBandwidth: 938.86GiB/s 2025-07-26 19:47:00.379583: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcudart.so.10.1'; dlerror: libcudart.so.10.1: cannot open shared object file: No such file or directory 2025-07-26 19:47:00.379632: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcublas.so.10'; dlerror: libcublas.so.10: cannot open shared object file: No such file or directory 2025-07-26 19:47:00.380958: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10 2025-07-26 19:47:00.381316: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10 2025-07-26 19:47:00.381386: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcusolver.so.10'; dlerror: libcusolver.so.10: cannot open shared object file: No such file or directory 2025-07-26 19:47:00.381440: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcusparse.so.10'; dlerror: libcusparse.so.10: cannot open shared object file: No such file or directory 2025-07-26 19:47:00.381492: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcudnn.so.7'; dlerror: libcudnn.so.7: cannot open shared object file: No such file or directory 2025-07-26 19:47:00.381501: W tensorflow/core/common_runtime/gpu/gpu_device.cc:1598] Cannot dlopen some GPU libraries. Please make sure the missing libraries mentioned above are installed properly if you would like to use GPU. Follow the guide at https://www.tensorflow.org/install/gpu for how to download and setup the required libraries for your platform. Skipping registering GPU devices... 2025-07-26 19:47:00.381919: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 AVX512F FMA 2025-07-26 19:47:00.396214: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 2000000000 Hz 2025-07-26 19:47:00.405365: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x7f45c0000b60 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2025-07-26 19:47:00.405415: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version 2025-07-26 19:47:00.409166: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix: 2025-07-26 19:47:00.409199: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108] WARNING:tensorflow:From /root/Python/conda_lit/kind/lib/python3.6/site-packages/tf_slim/layers/layers.py:1089: Layer.apply (from tensorflow.python.keras.engine.base_layer_v1) is deprecated and will be removed in a future version. Instructions for updating: Please use `layer.__call__` method instead. loaded ./checkpoint/decom_net_train/model.ckpt loaded ./checkpoint/illumination_adjust_net_train/model.ckpt No restoration pre model! (480, 640, 3) (680, 720, 3) (415, 370, 3) Start evalating! 0 Traceback (most recent call last): File "/root/Python/conda_lit/kind/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1365, in _do_call return fn(*args) File "/root/Python/conda_lit/kind/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1350, in _run_fn target_list, run_metadata) File "/root/Python/conda_lit/kind/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1443, in _call_tf_sessionrun run_metadata) tensorflow.python.framework.errors_impl.FailedPreconditionError: Attempting to use uninitialized value Restoration_net/de_conv6_1/biases [[{{node Restoration_net/de_conv6_1/biases/read}}]] During handling of the above exception, another exception occurred: Traceback (most recent call last): File "evaluate.py", line 92, in <module> restoration_r = sess.run(output_r, feed_dict={input_low_r: decom_r_low, input_low_i: decom_i_low}) File "/root/Python/conda_lit/kind/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 958, in run run_metadata_ptr) File "/root/Python/conda_lit/kind/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1181, in _run feed_dict_tensor, options, run_metadata) File "/root/Python/conda_lit/kind/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1359, in _do_run run_metadata) File "/root/Python/conda_lit/kind/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1384, in _do_call raise type(e)(node_def, op, message) tensorflow.python.framework.errors_impl.FailedPreconditionError: Attempting to use uninitialized value Restoration_net/de_conv6_1/biases [[node Restoration_net/de_conv6_1/biases/read (defined at /root/Python/conda_lit/kind/lib/python3.6/site-packages/tf_slim/ops/variables.py:256) ]] Original stack trace for 'Restoration_net/de_conv6_1/biases/read': File "evaluate.py", line 28, in <module> output_r = Restoration_net(input_low_r, input_low_i) File "/root/Python/KinD-master/KinD-master/model.py", line 70, in Restoration_net conv6=slim.conv2d(up6, 256,[3,3], rate=1, activation_fn=lrelu,scope='de_conv6_1') File "/root/Python/conda_lit/kind/lib/python3.6/site-packages/tf_slim/ops/arg_scope.py", line 184, in func_with_args return func(*args, **current_args) File "/root/Python/conda_lit/kind/lib/python3.6/site-packages/tf_slim/layers/layers.py", line 1191, in convolution2d conv_dims=2) File "/root/Python/conda_lit/kind/lib/python3.6/site-packages/tf_slim/ops/arg_scope.py", line 184, in func_with_args return func(*args, **current_args) File "/root/Python/conda_lit/kind/lib/python3.6/site-packages/tf_slim/layers/layers.py", line 1089, in convolution outputs = layer.apply(inputs) File "/root/Python/conda_lit/kind/lib/python3.6/site-packages/tensorflow/python/util/deprecation.py", line 324, in new_func return func(*args, **kwargs) File "/root/Python/conda_lit/kind/lib/python3.6/site-packages/tensorflow/python/keras/engine/base_layer_v1.py", line 1695, in apply return self.__call__(inputs, *args, **kwargs) File "/root/Python/conda_lit/kind/lib/python3.6/site-packages/tensorflow/python/layers/base.py", line 547, in __call__ outputs = super(Layer, self).__call__(inputs, *args, **kwargs) File "/root/Python/conda_lit/kind/lib/python3.6/site-packages/tensorflow/python/keras/engine/base_layer_v1.py", line 758, in __call__ self._maybe_build(inputs) File "/root/Python/conda_lit/kind/lib/python3.6/site-packages/tensorflow/python/keras/engine/base_layer_v1.py", line 2131, in _maybe_build self.build(input_shapes) File "/root/Python/conda_lit/kind/lib/python3.6/site-packages/tensorflow/python/keras/layers/convolutional.py", line 172, in build dtype=self.dtype) File "/root/Python/conda_lit/kind/lib/python3.6/site-packages/tensorflow/python/layers/base.py", line 460, in add_weight **kwargs) File "/root/Python/conda_lit/kind/lib/python3.6/site-packages/tensorflow/python/keras/engine/base_layer_v1.py", line 447, in add_weight caching_device=caching_device) File "/root/Python/conda_lit/kind/lib/python3.6/site-packages/tensorflow/python/training/tracking/base.py", line 743, in _add_variable_with_custom_getter **kwargs_for_getter) File "/root/Python/conda_lit/kind/lib/python3.6/site-packages/tensorflow/python/ops/variable_scope.py", line 1573, in get_variable aggregation=aggregation) File "/root/Python/conda_lit/kind/lib/python3.6/site-packages/tensorflow/python/ops/variable_scope.py", line 1316, in get_variable aggregation=aggregation) File "/root/Python/conda_lit/kind/lib/python3.6/site-packages/tensorflow/python/ops/variable_scope.py", line 551, in get_variable return custom_getter(**custom_getter_kwargs) File "/root/Python/conda_lit/kind/lib/python3.6/site-packages/tf_slim/layers/layers.py", line 1793, in layer_variable_getter return _model_variable_getter(getter, *args, **kwargs) File "/root/Python/conda_lit/kind/lib/python3.6/site-packages/tf_slim/layers/layers.py", line 1784, in _model_variable_getter aggregation=aggregation) File "/root/Python/conda_lit/kind/lib/python3.6/site-packages/tf_slim/ops/arg_scope.py", line 184, in func_with_args return func(*args, **current_args) File "/root/Python/conda_lit/kind/lib/python3.6/site-packages/tf_slim/ops/variables.py", line 328, in model_variable aggregation=aggregation) File "/root/Python/conda_lit/kind/lib/python3.6/site-packages/tf_slim/ops/arg_scope.py", line 184, in func_with_args return func(*args, **current_args) File "/root/Python/conda_lit/kind/lib/python3.6/site-packages/tf_slim/ops/variables.py", line 256, in variable aggregation=aggregation) File "/root/Python/conda_lit/kind/lib/python3.6/site-packages/tensorflow/python/ops/variable_scope.py", line 520, in _true_getter aggregation=aggregation) File "/root/Python/conda_lit/kind/lib/python3.6/site-packages/tensorflow/python/ops/variable_scope.py", line 939, in _get_single_variable aggregation=aggregation) File "/root/Python/conda_lit/kind/lib/python3.6/site-packages/tensorflow/python/ops/variables.py", line 259, in __call__ return cls._variable_v1_call(*args, **kwargs) File "/root/Python/conda_lit/kind/lib/python3.6/site-packages/tensorflow/python/ops/variables.py", line 220, in _variable_v1_call shape=shape) File "/root/Python/conda_lit/kind/lib/python3.6/site-packages/tensorflow/python/ops/variables.py", line 198, in <lambda> previous_getter = lambda **kwargs: default_variable_creator(None, **kwargs) File "/root/Python/conda_lit/kind/lib/python3.6/site-packages/tensorflow/python/ops/variable_scope.py", line 2614, in default_variable_creator shape=shape) File "/root/Python/conda_lit/kind/lib/python3.6/site-packages/tensorflow/python/ops/variables.py", line 263, in __call__ return super(VariableMetaclass, cls).__call__(*args, **kwargs) File "/root/Python/conda_lit/kind/lib/python3.6/site-packages/tensorflow/python/ops/variables.py", line 1666, in __init__ shape=shape) File "/root/Python/conda_lit/kind/lib/python3.6/site-packages/tensorflow/python/ops/variables.py", line 1854, in _init_from_args self._snapshot = array_ops.identity(self._variable, name="read") File "/root/Python/conda_lit/kind/lib/python3.6/site-packages/tensorflow/python/util/dispatch.py", line 180, in wrapper return target(*args, **kwargs) File "/root/Python/conda_lit/kind/lib/python3.6/site-packages/tensorflow/python/ops/array_ops.py", line 282, in identity ret = gen_array_ops.identity(input, name=name) File "/root/Python/conda_lit/kind/lib/python3.6/site-packages/tensorflow/python/ops/gen_array_ops.py", line 3901, in identity "Identity", input=input, name=name) File "/root/Python/conda_lit/kind/lib/python3.6/site-packages/tensorflow/python/framework/op_def_library.py", line 744, in _apply_op_helper attrs=attr_protos, op_def=op_def) File "/root/Python/conda_lit/kind/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 3327, in _create_op_internal op_def=op_def) File "/root/Python/conda_lit/kind/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 1791, in __init__ self._traceback = tf_stack.extract_stack()
07-27
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