|Deep Java Library (DJL)||Pytorch|
|5 days ago||7 days ago|
|Apache License 2.0||BSD 1-Clause License|
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.
Deep Java Library (DJL)
2021-09 - Plans & Hopes for Clojure Data Science
3 projects | reddit.com/r/Clojure | 3 Sep 2021
Here is link number 1 - Previous text "DJL"3 projects | reddit.com/r/Clojure | 3 Sep 2021
Regarding Tensorflow: As far as I understand, it is accessible through DJL, which has a Clojure wrapper (work in progress): clj-djl. (But I haven't tried it.)
[D] Java vs Python for Machine learning
4 projects | reddit.com/r/MachineLearning | 25 Jul 2021
To give a contrasting perspective, I think the Java ecosystem is much better suited for many data science tasks, and has a growing and well-maintained set of libraries for general purpose machine learning. I won't list them all, but TF-Java, DJL et al. have implementations of many modern architectures and there are a number of excellent libraries (CoreNLP, Lucene et al.) for working with text.
Does Java has similar project like this one in C#? (ml, data)
6 projects | reddit.com/r/java | 23 May 2021
If it gets better w age, will java become compatible for machine learning and data science?
7 projects | reddit.com/r/java | 20 May 2021
I think DJL also use use it for their tutorials - https://docs.djl.ai/jupyter/tutorial/01_create_your_first_network.html.
Machine learning on JVM
6 projects | reddit.com/r/scala | 5 Apr 2021
AWS Deep Learning more deep learning.
Weekly Developer Roundup #21 - Sun Nov 08 2020
28 projects | dev.to | 7 Nov 2020
awslabs/djl (Java): An Engine-Agnostic Deep Learning Framework in Java
- [N] PyTorch 1.12: TorchArrow, Functional API for Modules and NvFuser
PyTorch 1.12: TorchArrow, Functional API for Modules and NvFuser
1 project | news.ycombinator.com | 28 Jun 2022
[N] PyTorch 1.12 released
[D] PyTorch 1.12 released
Release notes are still pending.
[D] Deep Learning Framework for C++.
7 projects | reddit.com/r/MachineLearning | 12 Jun 2022
[D] PyTorch processes taking up tons of GPU memory - any way to reduce this?
1 project | reddit.com/r/MachineLearning | 25 May 2022
Maybe related: https://github.com/pytorch/pytorch/issues/12873
SWAHILI TEXT CLASSIFICATION USING TRANSFORMERS
4 projects | dev.to | 24 May 2022
Let's dive into the main topic of this article, we are going to train a transformer model for Swahili news classification, Since transformers are large to make the task simple we need to select a wrapper to work with, if you are good with PyTorch you can use PyTorch Lightning a wrapper for high-performance AI research, to wrap the transformers but today lets go with ktrain from Tensorflow Python Library.
AUDIO CLASSIFICATION USING DEEP LEARNING
3 projects | dev.to | 20 May 2022
The second option is to train your own model using machine learning frameworks like Tensorflow and Pytorch.
[D] My experience with running PyTorch on the M1 GPU
4 projects | reddit.com/r/MachineLearning | 19 May 2022
AUTOMATED SPEECH RECOGNITION APPROACHES AND CHALLENGES
2 projects | dev.to | 19 May 2022
The goal of this approach is to replace the intermediate steps with one algorithm. The deep learning approach has achieved state-of-the-art results in speech transcription tasks and is replacing the traditional methods used in ASR. It is also simpler because there are fewer steps involved and does not require as much expertise. The implementation of this approach requires a knowledge understanding of deep learning tools such as PyTorch, Tensorflow, DeepSpeech, etc.
What are some alternatives?
Deeplearning4j - Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learning using automatic differentiation.
Flux.jl - Relax! Flux is the ML library that doesn't make you tensor
mediapipe - Cross-platform, customizable ML solutions for live and streaming media.
Apache Spark - Apache Spark - A unified analytics engine for large-scale data processing
tensorflow - An Open Source Machine Learning Framework for Everyone
ROCm - ROCm - Open Source Platform for HPC and Ultrascale GPU Computing
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
jax - Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
OpenCV - Open Source Computer Vision Library
fairseq - Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
stable-baselines3 - PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.