Y
HN Search
Hacker News Search
new
|
comments
|
top
|
jobs
northlondoner
searching PlanetScale…
1.
▲
2.
▲
3.
▲
4.
▲
5.
▲
6.
▲
5 ms
·
61.
▲
by
northlondoner
10mo ago
From the python package leymosun
62.
▲
by
northlondoner
10mo ago
Yes.
63.
▲
by
northlondoner
10mo ago
Thanks. numba is a good trade-off before moving to Julia completely.
64.
▲
by
northlondoner
10mo ago
Some chat: Pyro/tf.prob are all more of an operations/stat research oriented tools, I gather but if there are some MC abstractions it might be good choice. Yes, tested and used Jax for some prototyping but it felt like still has &
65.
▲
Julia vs. NumPy performance: Strategy for For-loop?
1 points
by
northlondoner
10mo ago
|
10 comments
66.
▲
Origins of design of data frames: Software for data analysis (John Chambers)
(doi.org)
2 points
by
northlondoner
10mo ago
|
1 comments
67.
▲
by
northlondoner
10mo ago
Software for data analysis (John Chambers) is an R programming book but its unique position and style provides outstanding background on data frames and how statistical software should be. designed. One can of course extend this to AI softw
68.
▲
by
northlondoner
10mo ago
No. It is quite a viable cross-platform language and there is a large community. 1. C# works on Linux almost seamlessly. See the documentation: https://learn.microsoft.com/en-us/dotnet/core/install/linux
69.
▲
Memory Safety in C# vs. Rust
15 points
by
northlondoner
10mo ago
|
12 comments
70.
▲
Distributed and Compositional Learning Data-structure: C#-NATS example
(nats-io.github.io)
3 points
by
northlondoner
10mo ago
|
1 comments
71.
▲
by
northlondoner
10mo ago
This is quite underrated technology and its production level with linux comparability. If you come from Spark world this is RDDs on C#/NATS. Brillant infrastructure production ready for compositional learning. LINQ addition makes thing
72.
▲
"Gentle" Lecture on the Wigner's Semicircle Law in Python Package Leymosun
(github.com)
1 points
by
northlondoner
10mo ago
|
0 comments
73.
▲
Fault tolerance is key in compositional learning infrastructure: NATS and C#
(github.com)
5 points
by
northlondoner
10mo ago
|
1 comments
74.
▲
by
northlondoner
10mo ago
Compositional learning usually means domain shifts in distributed training and learning that can be conceptually learn new concepts. NATS provides a great fault tolerant messaging infrastructure in building compositional learning applicatio
75.
▲
by
northlondoner
11mo ago
It is possible that 'GenAI' can help in generating boilerplate codes and repetitive tasks. But that's ironically just advanced automation.
76.
▲
Ising-Conway Entropy Game (ICEg)
(arxiv.org)
2 points
by
northlondoner
11mo ago
|
0 comments
77.
▲
by
northlondoner
11mo ago
I think Jared is referring to "continuous training mode" (autonomous training). But that's itself open to interpretation. It sounds like old-good online learning.
78.
▲
Ray and Kubernetes: The Distributed OS for AI/ML [video]
(youtube.com)
2 points
by
northlondoner
11mo ago
|
0 comments
79.
▲
by
northlondoner
11mo ago
Ray over internet is also possible as well as K8 https://docs.ray.io/en/latest/cluster/kubernetes/index.html
80.
▲
by
northlondoner
11mo ago
One thing valuable is "Fault Tolerance", https://docs.ray.io/en/latest/ray-core/fault-tolerance.html
81.
▲
Ray Keynote: de-facto for compositional learning and a distributed heterogeneous [video]
(youtube.com)
2 points
by
northlondoner
11mo ago
|
3 comments
82.
▲
by
northlondoner
11mo ago
HPC is very difficult domain to address all settings. With the current diverse hardware and compositional learning needs. Ray is now becoming de-facto framework for compositional learning infrastructure.
83.
▲
by
northlondoner
11mo ago
blubber, I think there might be some misconceptions. Just for the record. R is not actually competing with those languages. R's design purpose is different. it is a general purpose computational language for scientists. There are FFIs
84.
▲
by
northlondoner
11mo ago
Of course R isn't a complied language and probably not the same category as C/Rust as systems language but is not in the same category as VB. R is a serious scientific programming language used in non-trivial programs for industri
85.
▲
by
northlondoner
11mo ago
Has anybody else noticed how much Python took from Scala for type hints? I was using Scala around 2015 and when I see type hints, immediately recognise its similarity to Scala's approach.
86.
▲
by
northlondoner
11mo ago
There is a similar tread, regarding life-time of projects, such as which ecosystem is better for long-term maintainability: https://news.ycombinator.com/item?id=46055463
87.
▲
by
northlondoner
11mo ago
Yes, R is a proper general purpose programming language. Turing complete, functional, procedural, object oriented.../
88.
▲
Should R ecosystem be a choice for longer-term projects?
3 points
by
northlondoner
11mo ago
|
1 comments
89.
▲
Linux compatible reliable C# boost for NATS messaging
(github.com)
3 points
by
northlondoner
11mo ago
|
0 comments
90.
▲
Lecture on the Wigner-Dyson nearest-neighbour distribution
(github.com)
2 points
by
northlondoner
11mo ago
|
1 comments
More ›