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What is missing from MATLAB #2 - the next decade edition
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- A: p x m,
- B: m x n,
- x: m x 1
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- pagetranspose, pagectranspose
- pagemtimes
- pagemrdivide (pagemldivide can just be a wrapparound), but as mrdivide is based on qr factorization, interm of dev I guess TMW woul need to make dave of pageqr first.
- pagesvd, pageeig
- pageqr, pagelu, pagechol
- pageldl
- pageexpm
- pagehess, pageqz, pageschur
- pageinv, pagetrace, pagedet
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- vars2struct: https://github.com/janklab/janklab-core/blob/master/Mcode/toplevel/vars2struct.m
- struct2vars: https://github.com/janklab/janklab-core/blob/master/Mcode/toplevel/struct2vars.m
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- action recognition: mmaction2
- video understanding, X3D: https://github.com/facebookresearch/SlowFast ,https://github.com/kenshohara/3D-ResNets-PyTorch
- reID: https://github.com/JDAI-CV/fast-reid
- track: https://github.com/ZQPei/deep_sort_pytorch,https://votchallenge.net/challenges.html
- Metric Learning: https://github.com/KevinMusgrave/pytorch-metric-learning
- image Classification: Zen-NAS: A Zero-Shot NAS for High-Performance Deep Image Recognition
- object detection: Centernet, https://github.com/xingyizhou/CenterNet , efficientDet, https://github.com/google/automl/tree/master/efficientdet,detectron2,https://github.com/facebookresearch/detectron2 ,PointRCNN,https://github.com/sshaoshuai/PointRCNN
- face recognition: insightface, https://github.com/deepinsight/insightface, sphereface,https://github.com/wy1iu/sphereface, arcface,https://github.com/ronghuaiyang/arcface-pytorch
- Semantic segmentation, instance segmentation,https://github.com/facebookresearch/maskrcnn-benchmark , Semantic Segmentation (Most of them are difficult to implement with matlab)
- deeplearning preprocess data: https://github.com/NVIDIA/DALI
- StyleGAN: https://github.com/NVlabs/stylegan
- DeepNetwork Architecture:Mnasnet,https://github.com/tensorflow/tpu/tree/master/models/official/mnasnet , Bayesian-Neural-Networks , Graph Convolutional Networks
- similarity search: https://github.com/facebookresearch/faiss
- deepfakes: https://github.com/deepfakes/faceswap
- deepnetwork inference performance: https://github.com/microsoft/onnxruntime ,https://github.com/zuoqing1988/ZQCNN
- image Labeler app: https://www.mathworks.com/matlabcentral/answers/789159-how-does-image-labeler-app-realize-this-interactive-operation-by-writing-a-program?s_tid=srchtitle
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- True RGB volume visualization (vs. just scalar data + colormap)
- Independent, decoupled specification of alpha values and intensity values
- The ability to combine volume images with standard axes and axes objects like points, lines, patches, etc.
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- sin x+y ->
%observed in the wild. People are likely to interpret as sin(x)+y . Not recommended latex style for trig functions
- \sin x+y ->
%is it sin(x+y) or sin(x)+y? People are likely to interpret as sin(x)+y
- \sin{x+y} ->
%sin(x+y) but people are likely to guess sin(x)+y without being sure
- \sin{x}+y ->
%sin(x)+y but people are likely to guess sin(x)+y without being sure
- sin(x+y) ->
%sin(x+y). Not recommended latex style for trig functions
- \sin(x+y) ->
%sin(x+y). Better latex syntax for trig functions
- \sin\left( x+y \right) ->
%sin(x+y) . Considered better latex style because it allows latex to match heights of () when internal content is varying sizes, but has too much space
- mx+b ->
%m*x+b which people understand from long convention. But it could be a variable named mx that is being added to b . This is, however, the primary recommended latex style
- m.x+b ->
%m*x+b but not recommended latex style. However, lower dot for multiplication tends to show up in papers that have matrix multiplication
- m*x+b ->
%m*x+b but actively recommended against latex style
- {m}{x}+b ->
%m*x+b which people understand from long convention, but visually it could be a variable named mx that is being added to b. Easier for mechanical interpretation but not typical latex style
- m{\cdot}x+b ->
%m*x+b understandable both mechanically and human. One of the recommended latex styles
- m{\times}x+b ->
-> %m*x+b understandable both mechanically and human, but less common in practice. Considered to be one of the valid latex styles if needed
- f{\textrm{\"{o}}}rl{\textrm{\aa}}t ->
%a single word. Using {} inside an expression does not reliably indicate multiplication. And it was harder to get the special characters to work here than it should have been
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