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Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
The Dex Programming Language: "Getting to the Point. Index Sets and Parallelism-Preserving Autodiff for Pointful Array Programming"
1 project | reddit.com/r/ProgrammingLanguages | 25 Nov 2021
Should I learn Haskell or C first in my situation?
2 projects | reddit.com/r/haskell | 9 Nov 2021
Is C the only right option for implementing an array language?
3 projects | reddit.com/r/apljk | 24 Aug 2021
Not sure if you consider Futhark or Dex to be array languages, but both are written in haskell. Dex compiles to llvm.
Questions for Charles Hoskinson - post from Lex Fridman
4 projects | reddit.com/r/cardano | 10 Jun 2021
Good luck parsing Dex to distinguish from confusion with Decentralized Exchanges (DEX).4 projects | reddit.com/r/cardano | 10 Jun 2021
So now we are seeing ML research tools like Dex, a Haskell-based research language developed to have support provided by the features of a functional language.
Matrix Multiplication Inches Closer to Mythic Goal
3 projects | news.ycombinator.com | 23 Mar 2021
Not that it has bindings to other tools, but it sounds like Dex would be relevant to your interests!
Dex: A research language for array processing in the Haskell/ML family
1 project | reddit.com/r/apljk | 11 Mar 2021
Looking to get into Parallel Computing and System Programming Research
3 projects | reddit.com/r/Compilers | 11 Mar 2021
Dex is a research language for typed, functional array processing
2 projects | news.ycombinator.com | 11 Mar 2021
[N] PyTorch 1.8 Release, including Compiler and Distributed Training updates, New Mobile Tutorials
7 projects | reddit.com/r/MachineLearning | 4 Mar 2021
When I've interacted with this kind of thing before -- for example the PyTorch JIT (which I believe also parses an AST to produce an IR? Is this the same parser/IR as fx or different?), the JAX JIT, or something like Zygote in Julia -- I've always hit these kinds of issues. I think the fundamental problem is choosing to parse an AST for something inherently more flexible, rather than building a graph-based DSL a la TensorFlow v1 (despite its flaws), or though I've not tried it, maybe building something like dex.
Old guy programmer here, need to brush up on Python quickly!
13 projects | reddit.com/r/Python | 6 Dec 2021
pytorch for Neural Networks,
Building a powerful deep learning workstation
1 project | reddit.com/r/buildapcforme | 29 Nov 2021
We will do no gaming whatsoever. The jobs will focus on training deep-learning models, for which we will predominantly use pytorch, which runs on CUDA. We will *exclusively* handle image data, which may come in scales of MB per image ranging until TB per image, hence, fast file transfer speeds from mainboard/storage to GPU is very important. Some of the data may have to be copied from an external fileserver, and then be stored temporarily on the local drives for processing. Thus, we also need high file transfer through the LAN connection.
Nvidia Ceo- Jensen on competition from Amd.
1 project | reddit.com/r/Amd | 23 Nov 2021
One of my coworkers managed to get pytorch working with AMD but it took him a week to get everything working properly (which in itself was surprising given previous history). And that's with the current driver + library version stack -- who knows what it's going to be like in 6 months time, half the time to get this stuff working you're following some guy's side project on github that he could get bored with and stop supporting at any point.
Why Can't PyTorch Find Cuda?
1 project | reddit.com/r/learnpython | 16 Nov 2021
I installed PyTorch with CUDA like the PyTorch website recommended:
PyTorch to Support Apple M1 GPU
1 project | news.ycombinator.com | 15 Nov 2021
PyTorch set to support Apple M1 GPU
1 project | news.ycombinator.com | 15 Nov 2021
PyTorch Fortran Bindings
3 projects | news.ycombinator.com | 14 Nov 2021
Data Science toolset summary from 2021
13 projects | dev.to | 13 Nov 2021
PyTorch - PyTorch is an open source machine learning library based on the Torch library, used for applications such as computer vision and natural language processing, primarily developed by Facebook's AI Research lab. It is free and open-source software released under the Modified BSD license. Link - https://pytorch.org/
Main PyTorch maintainer confirms that work is being done to support Apple Silicon GPU acceleration for the popular machine learning framework.
2 projects | reddit.com/r/apple | 10 Nov 2021
[Project] JORLDY: OpenSource Reinforcement Learning Framework
1 project | reddit.com/r/MachineLearning | 8 Nov 2021
20+ RL Algorithms (Pytorch) and various RL environment are provided
What are some alternatives?
tensorflow - An Open Source Machine Learning Framework for Everyone
Flux.jl - Relax! Flux is the ML library that doesn't make you tensor
ROCm - ROCm - Open Source Platform for HPC and Ultrascale GPU Computing
Caffe - Caffe: a fast open framework for deep learning.
Theano - Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as aesara: www.github.com/pymc-devs/aesara
Keras - Deep Learning for humans
Apache Spark - Apache Spark - A unified analytics engine for large-scale data processing
CNTK - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
frugally-deep - Header-only library for using Keras models in C++.
mediapipe - Cross-platform, customizable ML solutions for live and streaming media.