tech list

tech-list/modules/ROOT/pages/index.adoc

@@ -216,19 +216,19 @@ https://reagent.ai/[pytorch - Reinforcement Learning Platform^]
 
 |*Top PyTorch Projects*
 
-CheXNet: Radiologist-level pneumonia detection on chest X-rays with deep learning. https://stanfordmlgroup.github.io/projects/chexnet/[url^]
+* CheXNet: Radiologist-level pneumonia detection on chest X-rays with deep learning. https://stanfordmlgroup.github.io/projects/chexnet/[url^]
 
-PYRO: Pyro is a universal probabilistic programming language (PPL) written in Python and supported by PyTorch on the backend. https://pyro.ai/[url^]
+* PYRO: Pyro is a universal probabilistic programming language (PPL) written in Python and supported by PyTorch on the backend. https://pyro.ai/[url^]
 
-Horizon: A platform for applied reinforcement learning (Applied RL) https://horizonrl.com[url^]
+* Horizon: A platform for applied reinforcement learning (Applied RL) https://horizonrl.com[url^]
 
 |*Top TensorFlow Projects*
 
-Magenta: An open source research project exploring the role of machine learning as a tool in the creative process. https://magenta.tensorflow.org/[url^]
+* Magenta: An open source research project exploring the role of machine learning as a tool in the creative process. https://magenta.tensorflow.org/[url^]
 
-Sonnet: Sonnet is a library built on top of TensorFlow for building complex neural networks. https://sonnet.dev/[url^]
+* Sonnet: Sonnet is a library built on top of TensorFlow for building complex neural networks. https://sonnet.dev/[url^]
 
-Ludwig: Ludwig is a toolbox to train and test deep learning models without the need to write code. https://uber.github.io/ludwig/[url^]
+* Ludwig: Ludwig is a toolbox to train and test deep learning models without the need to write code. https://uber.github.io/ludwig/[url^]
 
 
 | *Production Deployment*
@@ -247,26 +247,37 @@ TenforFlow’s visualization library is called TensorBoard.
 |Tensorflow has APIs for various langages :
 
 *     C (used to develop other APIs in practice, though)
+
 *     C++ (Tensorflow is written in C++ and CUDA)
+
 *     Java
+
 *     GO
+
 *     Rust
+
 *     Haskell (yes, even Haskell)
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 *     C#
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 *     Julia
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 *     R
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 *     Python
-* 
+
 * And, of course, for JavaScript, since 2019.
 
 |*Pytorch Cons:*
 
 *    Third-party needed for visualization.
+
 *    API server needed for production.
 
 |*TensorFlow Cons:*
 
 *    Debugging method.
+
 *    Hard to make quick changes.