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Short set
How to participate: github.com/apachecn/mi…
Overall progress: github.com/apachecn/mi…
Project warehouse: github.com/apachecn/mi…
Claim: 0/12, translation: 0/12
chapter | contributors | The progress of |
---|---|---|
About convolutional neural networks | – | – |
1 | ||
2.1.1-2.1.3 | ||
2.1.4-2.1.6 | ||
2.2.1 | ||
2.2.2, 2.2.3 | ||
2.3-2.4 | ||
3.1 | ||
3.2 | ||
3.3 | ||
3.4-3.5 | ||
4.1 | ||
4.2 |
JavaScript for impatient Programmers (proofread)
How to participate: github.com/apachecn/im…
Overall progress: github.com/apachecn/im…
Project warehouse: github.com/apachecn/im…
Claim: 6/42, translation: 5/42
chapter | contributors | The progress of |
---|---|---|
1. About this Book (ES2019 Edition) | @YouWillBe | 100% |
2. FAQ: This book | @huangzijian888 | 100% |
3. History and evolution of JavaScript | ||
4. Common problems: JavaScript | ||
An overview of the 5. | ||
6. Grammar | @lq920320 | 100% |
7. Print messages on the console (console.* ) |
||
8. Assertions API | ||
9. Getting started with quizzes and exercises | ||
Variables and assignments | ||
Values of 11. | ||
12. The operator | ||
13. The valueundefined andnull |
||
14. Boolean value | ||
15. Digital | ||
16. Math |
||
17. Unicode – Brief Introduction (Advanced) | ||
18. The string | ||
19. Use template literals and tag templates | ||
Symbols 20. | ||
Control flow statement | ||
22. Exception handling | ||
23. Callable values | ||
24. The module | ||
25. Single object | ||
26. Prototype chains and classes | ||
27. Iterate synchronously | ||
28. Array (Array ) |
||
29. Typed Arrays: Handling binary data (advanced) | ||
30. Mapping (Map ) |
||
31. WeakMaps (WeakMap ) |
||
32. (Set ) |
||
33. WeakSets (WeakSet ) |
||
34. Deconstruction | ||
35. Synchro Generator (Advanced) | ||
36. Asynchronous programming in JavaScript | ||
37. Promise of asynchronous programming | @iChrisJ | 100% |
38. Asynchronous functions | @iChrisJ | 100% |
39. Regular expressions (RegExp ) |
@iChrisJ | |
40. Date (Date ) |
||
41. Create and parse JSON (JSON ) |
||
42. Where are the rest of the chapters? |
Seaborn 0.9 Chinese document
How to participate: github.com/apachecn/se…
Overall progress: github.com/apachecn/se…
Project warehouse: github.com/apachecn/se…
Claim: 44/74, translation: 17/74
The serial number | chapter | The translator | The progress of |
---|---|---|---|
1 | An introduction to seaborn | @yiran7324 | 100% |
2 | Installing and getting started | @neolei | 100% |
3 | Visualizing statistical relationships | @JNJYan | 100% |
4 | Plotting with categorical data | @hold2010 | |
5 | Visualizing the distribution of a dataset | @alohahahaha | 100% |
6 | Visualizing linear relationships | @friedhelm739 | |
7 | Building structured multi-plot grids | @keyianpai | 100% |
8 | Controlling figure aesthetics | ||
9 | Choosing color palettes | @Modrisco | 100% |
10 | seaborn.relplot | ||
11 | seaborn.scatterplot | @tututwo | |
12 | seaborn.lineplot | @tututwo | |
13 | seaborn.catplot | @LIJIANcoder97 | 100% |
14 | seaborn.stripplot | @LIJIANcoder97 | 100% |
15 | seaborn.swarmplot | @LIJIANcoder97 | |
16 | seaborn.boxplot | @FindNorthStar | 100% |
17 | seaborn.violinplot | @FindNorthStar | 100% |
18 | seaborn.boxenplot | @FindNorthStar | |
19 | seaborn.pointplot | @FindNorthStar | |
20 | seaborn.barplot | @melon-bun | |
21 | seaborn.countplot | ||
22 | seaborn.jointplot | ||
23 | seaborn.pairplot | ||
24 | seaborn.distplot | @hyuuo | |
25 | seaborn.kdeplot | @hyuuo | |
26 | seaborn.rugplot | ||
27 | seaborn.lmplot | ||
28 | seaborn.regplot | ||
29 | seaborn.residplot | ||
30 | seaborn.heatmap | @hyuuo | |
31 | seaborn.clustermap | ||
32 | seaborn.FacetGrid | @hyuuo | |
33 | seaborn.FacetGrid.map | ||
34 | seaborn.FacetGrid.map_dataframe | ||
35 | seaborn.PairGrid | ||
36 | seaborn.PairGrid.map | ||
37 | seaborn.PairGrid.map_diag | ||
38 | seaborn.PairGrid.map_offdiag | ||
39 | seaborn.PairGrid.map_lower | ||
40 | seaborn.PairGrid.map_upper | ||
41 | seaborn.JointGrid | ||
42 | seaborn.JointGrid.plot | ||
43 | seaborn.JointGrid.plot_joint | ||
44 | seaborn.JointGrid.plot_marginals | ||
45 | seaborn.set | ||
46 | seaborn.axes_style | ||
47 | seaborn.set_style | ||
48 | seaborn.plotting_context | ||
49 | seaborn.set_context | ||
50 | seaborn.set_color_codes | ||
51 | seaborn.reset_defaults | ||
52 | seaborn.reset_orig | ||
53 | seaborn.set_palette | @Modrisco | 100% |
54 | seaborn.color_palette | @Modrisco | 100% |
55 | seaborn.husl_palette | @Modrisco | 100% |
56 | seaborn.hls_palette | @Modrisco | 100% |
57 | seaborn.cubehelix_palette | @Modrisco | 100% |
58 | seaborn.dark_palette | @Modrisco | 100% |
59 | seaborn.light_palette | @Modrisco | 100% |
60 | seaborn.diverging_palette | @Modrisco | |
61 | seaborn.blend_palette | @Modrisco | |
62 | seaborn.xkcd_palette | @Modrisco | |
63 | seaborn.crayon_palette | @Modrisco | |
64 | seaborn.mpl_palette | @Modrisco | |
65 | seaborn.choose_colorbrewer_palette | @Modrisco | |
66 | seaborn.choose_cubehelix_palette | @Modrisco | |
67 | seaborn.choose_light_palette | @Modrisco | |
68 | seaborn.choose_dark_palette | @Modrisco | |
69 | seaborn.choose_diverging_palette | @Modrisco | |
70 | seaborn.load_dataset | @Modrisco | |
71 | seaborn.despine | @Modrisco | |
72 | seaborn.desaturate | @Modrisco | |
73 | seaborn.saturate | @Modrisco | |
74 | seaborn.set_hls_values | @Modrisco |
UCB CS61b: Data structures in Java
How to participate: github.com/apachecn/cs…
Overall progress: github.com/apachecn/cs…
Project warehouse: github.com/apachecn/cs…
Claim: 10/12, translation: 9/12
The title | The translator | The progress of |
---|---|---|
I. Algorithm complexity | @leader402 | 100% |
Abstract data types | @Allenyep | 100% |
Three, meet the specification | @renyuhuiharrison | 100% |
Sequences and their implementations | @biubiubiuboomboomboom | 100% |
Five, the tree | @biubiubiuboomboomboom | 100% |
Search tree | @yongfengyan | 100% |
Seven, hash | @Abel-Huang | 100% |
Sorting and selection | @Rachel-Hu | 100% |
9. Balanced search | @Abel-Huang | |
Concurrency and synchronization | @Ruffianjiang | 100% |
Pseudorandom sequence | ||
Twelve, |
Git 中文 reference (proofreading)
How to participate: github.com/apachecn/gi…
Overall progress: github.com/apachecn/gi…
Project warehouse: github.com/apachecn/gi…
Claim: 2/83, proofread: 0/83
The serial number | chapter | contributors | The progress of |
---|---|---|---|
1 | git | ||
2 | git-config | ||
3 | git-help | ||
4 | git-init | ||
5 | git-clone | ||
6 | git-add | @yulezheng | |
7 | git-status | ||
8 | git-diff | ||
9 | git-commit | @yulezheng | |
10 | git-reset | ||
11 | git-rm | ||
12 | git-mv | ||
13 | git-branch | ||
14 | git-checkout | ||
15 | git-merge | ||
16 | git-mergetool | ||
17 | git-log | ||
18 | git-stash | ||
19 | git-tag | ||
20 | git-worktree | ||
21 | git-fetch | ||
22 | git-pull | ||
23 | git-push | ||
24 | git-remote | ||
25 | git-submodule | ||
26 | git-show | ||
27 | git-log | ||
29 | git-shortlog | ||
30 | git-describe | ||
31 | git-apply | ||
32 | git-cherry-pick | ||
34 | git-rebase | ||
35 | git-revert | ||
36 | git-bisect | ||
37 | git-blame | ||
38 | git-grep | ||
39 | gitattributes | ||
40 | giteveryday | ||
41 | gitglossary | ||
42 | githooks | ||
43 | gitignore | ||
44 | gitmodules | ||
45 | gitrevisions | ||
46 | gittutorial | ||
47 | gitworkflows | ||
48 | git-am | ||
50 | git-format-patch | ||
51 | git-send-email | ||
52 | git-request-pull | ||
53 | git-svn | ||
54 | git-fast-import | ||
55 | git-clean | ||
56 | git-gc | ||
57 | git-fsck | ||
58 | git-reflog | ||
59 | git-filter-branch | ||
60 | git-instaweb | ||
61 | git-archive | ||
62 | git-bundle | ||
63 | git-daemon | ||
64 | git-update-server-info | ||
65 | git-cat-file | ||
66 | git-check-ignore | ||
67 | git-checkout-index | ||
68 | git-commit-tree | ||
69 | git-count-objects | ||
70 | git-diff-index | ||
71 | git-for-each-ref | ||
72 | git-hash-object | ||
73 | git-ls-files | ||
74 | git-merge-base | ||
75 | git-read-tree | ||
76 | git-rev-list | ||
77 | git-rev-parse | ||
78 | git-show-ref | ||
79 | git-symbolic-ref | ||
80 | git-update-index | ||
81 | git-update-ref | ||
82 | git-verify-pack | ||
83 | git-write-tree |
HBase 3.0 Chinese Reference Guide (Proofreading)
How to participate: github.com/apachecn/hb…
Overall progress: github.com/apachecn/hb…
Project warehouse: github.com/apachecn/hb…
Claim: 18/31, proofread: 11/31
chapter | contributors | The progress of |
---|---|---|
Preface | @xixici | 100% |
Getting Started | @xixici | 100% |
Apache HBase Configuration | @xixici | 100% |
Upgrading | @xixici | 100% |
The Apache HBase Shell | @xixici | 100% |
Data Model | @Winchester-Yi | |
HBase and Schema Design | @RaymondCode | 100% |
RegionServer Sizing Rules of Thumb | ||
HBase and MapReduce | @BridgetLai | 100% |
Securing Apache HBase | ||
Architecture | @RaymondCode | |
In-memory Compaction | @mychaow | |
Backup and Restore | @mychaow | |
Synchronous Replication | @mychaow | |
Apache HBase APIs | @xixici | 100% |
Apache HBase External APIs | @xixici | 100% |
Thrift API and Filter Language | @xixici | 100% |
HBase and Spark | @TsingJyujing | 100% |
Apache HBase Coprocessors | @TsingJyujing | |
Apache HBase Performance Tuning | ||
Troubleshooting and Debugging Apache HBase | ||
Apache HBase Case Studies | ||
Apache HBase Operational Management | ||
Building and Developing Apache HBase | ||
Unit Testing HBase Applications | ||
Protobuf in HBase | @TsingJyujing | |
Procedure Framework (Pv2): HBASE-12439 | ||
AMv2 Description for Devs | ||
ZooKeeper | ||
Community | ||
Appendix |
UCB Prob140: Probability Theory for Data Science
How to participate: github.com/apachecn/pr…
Overall progress: github.com/apachecn/pr…
Project warehouse: github.com/apachecn/pr…
Claim: 22/25, translation: 19/25
The title | The translator | Translation progress |
---|---|---|
A basis, | dragon | 100% |
Second, calculate the odds | dragon | 100% |
Random variables | dragon | 100% |
Four, the relationship between events | @biubiubiuboomboomboom | 100% |
5. Event set | > 0% | |
6. Random counting | @viviwong | 100% |
Poisson chemistry | @YAOYI626 | 100% |
Eight, expectations | 50% | |
Ix. Conditions (Continued) | @YAOYI626 | 100% |
Markov chain | Meow. | 100% |
11. Markov Chain (Continued) | Meow. | 100% |
Xii. Standard Deviation | Missing only samoyed | 100% |
Variance and covariance | Missing only samoyed | 100% |
Central limit theorem | Meow. | 100% |
15. Continuous distribution | @ThunderboltSmile | |
Xvi. Transformation | @hellozhaihy | |
17. Joint density | @Winchester-Yi | 100% |
The normal and Gamma families | @Winchester-Yi | 100% |
Distribution of and | The routine day | 100% |
20. Estimation method | The routine day | 100% |
Beta and binomial | @lvzhetx | 100% |
22. Forecast | 50% | |
Joint normal random Variables | @JUNE951234 | |
Simple linear regression | @ThomasCai | 100% |
Multiple regression | @lanhaixuan | 100% |
Pytorch 1.0 Chinese documentation
How to participate: github.com/apachecn/py…
Overall progress: github.com/apachecn/py…
Project warehouse: github.com/apachecn/py…
Part of the tutorial: Recognition: 35/37, Translation: 34/37; Document part: Claim: 39/39, Translation: 34/39
chapter | contributors | The progress of |
---|---|---|
The tutorial section | – | – |
Deep Learning with PyTorch: A 60 Minute Blitz | @bat67 | 100% |
What is PyTorch? | @bat67 | 100% |
Autograd: Automatic Differentiation | @bat67 | 100% |
Neural Networks | @bat67 | 100% |
Training a Classifier | @bat67 | 100% |
Optional: Data Parallelism | @bat67 | 100% |
Data Loading and Processing Tutorial | @yportne13 | 100% |
Learning PyTorch with Examples | @bat67 | 100% |
Transfer Learning Tutorial | @jiangzhonglian | 100% |
Deploying a Seq2Seq Model with the Hybrid Frontend | @cangyunye | 100% |
Saving and Loading Models | @bruce1408 | 100% |
What is torch.nn really? | @lhc741 | 100% |
Finetuning Torchvision Models | @ZHHAYO | 100% |
Spatial Transformer Networks Tutorial | @PEGASUS1993 | 100% |
Neural Transfer Using PyTorch | @bdqfork | 100% |
Adversarial Example Generation | @cangyunye | 100% |
Transfering a Model from PyTorch to Caffe2 and Mobile using ONNX | @PEGASUS1993 | 100% |
Chatbot Tutorial | @a625687551 | 100% |
Generating Names with a Character-Level RNN | @hhxx2015 | 100% |
Classifying Names with a Character-Level RNN | @hhxx2015 | 100% |
Deep Learning for NLP with Pytorch | @bruce1408 | 100% |
Introduction to PyTorch | @guobaoyo | 100% |
Deep Learning with PyTorch | @bdqfork | 100% |
Word Embeddings: Encoding Lexical Semantics | @sight007 | 100% |
Sequence Models and Long-Short Term Memory Networks | @ETCartman | 100% |
Advanced: Making Dynamic Decisions and the Bi-LSTM CRF | @JohnJiangLA | |
Translation with a Sequence to Sequence Network and Attention | @mengfu188 | 100% |
DCGAN Tutorial | @wangshuai9517 | 100% |
Reinforcement Learning (DQN) Tutorial | @friedhelm739 | 100% |
Creating Extensions Using numpy and scipy | @cangyunye | 100% |
Custom C++ and CUDA Extensions | ||
Extending TorchScript with Custom C++ Operators | ||
Writing Distributed Applications with PyTorch | @firdameng | 100% |
PyTorch 1.0 Distributed Trainer with Amazon AWS | @yportne13 | 100% |
ONNX Live Tutorial | @PEGASUS1993 | 100% |
Loading a PyTorch Model in C++ | @talengu | 100% |
Using the PyTorch C++ Frontend | @solerji | 100% |
Document parts | – | – |
Autograd mechanics | @PEGASUS1993 | 100% |
Broadcasting semantics | @PEGASUS1993 | 100% |
CUDA semantics | @jiangzhonglian | 100% |
Extending PyTorch | @PEGASUS1993 | 100% |
Frequently Asked Questions | @PEGASUS1993 | 100% |
Multiprocessing best practices | @cvley | 100% |
Reproducibility | @WyattHuang1 | |
Serialization semantics | @yuange250 | 100% |
Windows FAQ | @PEGASUS1993 | 100% |
torch | @yiran7324 | |
torch.Tensor | @hijkzzz | 100% |
Tensor Attributes | @yuange250 | 100% |
Type Info | @PEGASUS1993 | 100% |
torch.sparse | @hijkzzz | 100% |
torch.cuda | @bdqfork | 100% |
torch.Storage | @yuange250 | 100% |
torch.nn | @yuange250 | |
torch.nn.functional | @hijkzzz | 100% |
torch.nn.init | @GeneZC | 100% |
torch.optim | @qiaokuoyuan | |
Automatic differentiation package – torch.autograd | @gfjiangly | 100% |
Distributed communication package – torch.distributed | @univeryinli | 100% |
Probability distributions – torch.distributions | @hijkzzz | 100% |
Torch Script | @keyianpai | 100% |
Multiprocessing package – torch.multiprocessing | @hijkzzz | 100% |
torch.utils.bottleneck | @belonHan | 100% |
torch.utils.checkpoint | @belonHan | 100% |
torch.utils.cpp_extension | @belonHan | 100% |
torch.utils.data | @BXuan694 | 100% |
torch.utils.dlpack | @kunwuz | 100% |
torch.hub | @kunwuz | 100% |
torch.utils.model_zoo | @BXuan694 | 100% |
torch.onnx | @guobaoyo | 100% |
Distributed communication package (deprecated) – torch.distributed.deprecated | @luxinfeng | |
torchvision Reference | @BXuan694 | 100% |
torchvision.datasets | @BXuan694 | 100% |
torchvision.models | @BXuan694 | 100% |
torchvision.transforms | @BXuan694 | 100% |
torchvision.utils | @BXuan694 | 100% |
Run out
OpenCV 4.0 Chinese tutorial
How to participate: github.com/apachecn/op…
Overall progress: github.com/apachecn/op…
Project warehouse: github.com/apachecn/op…
Claim: 51/51, translation: 26/51.
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We are a large open source community with more than 9,000 QQ groups and at least 10,000 subscribers. The number of Github stars exceeds 20K, ranking in the top 200 of all Github organizations. Website day UIP exceeds 4K, Alexa ranking peak at 20K. Our core members have the CSDN Blog Expert and Jane Book Programmer excellent author certification. We have cooperated with Datawhale, AI Youdao, Huang Hai Guangdr. and other well-known open source organizations and BIG V to organize public welfare translation activities, learning activities and team competition activities. Unlike commercial organizations, we don’t chase hot spots or seek profits. As a public welfare organization, we give priority to completing projects and have enough time to polish them to the limit. We want to make something that AI enthusiasts really need, and create a long tail of real value.
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