Top 23 Python Tensorflow Projects
🤗 Transformers: State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX.Project mention: Export and run other machine learning models | dev.to | 2021-10-14
Optimize your datasets for ML. Goodbye, boilerplate code - the fastest dataset optimization and management tool for computer vision.
Clone a voice in 5 seconds to generate arbitrary speech in real-timeProject mention: Is there a free (preferably open source) offline invoice creation software for windows 10? | reddit.com/r/software | 2021-09-27
TensorFlow code and pre-trained models for BERTProject mention: Is huggingface pre-trained models on their site can be used for commercial use? | reddit.com/r/LanguageTechnology | 2021-09-20
But I can see that the LICENSE over on Google's bert repository comes with an Apache License, meaning we can generally use it - and amusingly if you scroll down to the 'date' and 'author', it says:
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.Project mention: Beginner in Python for Data Science | reddit.com/r/learnpython | 2020-12-27
data science ipython notebooks
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlowProject mention: Mask RCNN results leave me puzzled - what am I doing wrong? | reddit.com/r/computervision | 2021-09-01
My implementation is based on the balloons example https://github.com/matterport/Mask_RCNN/blob/master/samples/balloon/balloon.py I just don’t use the coloring but apply the highlight function of the model.
Deezer source separation library including pretrained models.Project mention: does a sub exist where helpful people are up for removing background sound from audio? | reddit.com/r/findareddit | 2021-10-04
Try spleeter out: https://github.com/deezer/spleeter
Scout APM: A developer's best friend. Try free for 14-days. Scout APM uses tracing logic that ties bottlenecks to source code so you know the exact line of code causing performance issues and can get back to building a great product faster.
Face recognition using TensorflowProject mention: CompreFace - Free and open-source self-hosted face recognition system from Exadel | reddit.com/r/selfhosted | 2021-05-07
As for me, openface is already outdated - the latest release was in 2016. If you look for a library, the easiest to use is ageitgey/face_recognition. The more accurate libraries are davidsandberg/facenet and deepinsight/insightface.
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.Project mention: [D] GPU buying recommendation | reddit.com/r/MachineLearning | 2021-07-17
If you just want to run tensorflow or pytorch for a Jupyter notebook, setting the environment shouldn't be difficult. I know that AWS has a marketplace of preconfigured images. However, you can go as advanced as setting up a cluster of gpu-equipped nodes to setup Horovod (https://github.com/horovod/horovod) to do distributed machine learning. Yes, there's a learning curve, but you cannot acquire this skillet any other way.
Cloud-native neural search framework for 𝙖𝙣𝙮 kind of dataProject mention: DAE think it's really cool that we have open-source software tools to build our own search engines? | reddit.com/r/DoesAnybodyElse | 2021-10-11
if you'd like to skip the tutorial and dive head-on: https://github.com/jina-ai/jina
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 200 universities.Project mention: I created a way to learn machine learning through Jupyter | reddit.com/r/learnmachinelearning | 2021-04-30
There are actually some online books and courses built on Jupyter Notebook ([Dive to Deep Learning Book](https://github.com/d2l-ai/d2l-en) for example). However yours is more detail and could really helps beginners.
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.Project mention: Automated Machine Learning (AutoML) - 9 Different Ways with Microsoft AI | dev.to | 2021-10-04
For a complete tutorial, navigate to this Jupyter Notebook: https://github.com/microsoft/nni/blob/master/examples/notebooks/tabular_data_classification_in_AML.ipynb
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation toolsProject mention: Datasets: A Community Library for Natural Language Processing | news.ycombinator.com | 2021-09-08
Mapping a variable-length sentence to a fixed-length vector using BERT modelProject mention: Needed 100% to pass a safety quiz, need to wait a week to retake | reddit.com/r/mildlyinfuriating | 2021-01-12
You joke but
Deep learning library featuring a higher-level API for TensorFlow.Project mention: Base ball | dev.to | 2021-03-20
Both the teams in a game are given their individual ID values and are made into vectors. Relevant data like the home and away team, home runs, RBI’s, and walk’s are all taken into account and passed through layers. There’s no need to reinvent the wheel here, there's a multitude of libraries that enable a coder to implement machine learning theories efficiently. In this case we will be using a library called TFlearn, documentation available from http://tflearn.org. The program will output the home and away teams as well as their respective score predictions.
AutoML library for deep learningProject mention: Technical documentation that just works | news.ycombinator.com | 2021-05-27
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.Project mention: Awesome list of ML | reddit.com/r/programming | 2021-09-16
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML. (by microsoft)Project mention: [D] Tools for converting TF code to Pytorch | reddit.com/r/MachineLearning | 2021-02-01
A general-purpose encoder-decoder framework for TensorflowProject mention: Tegin huvitava avastuse. Google translate tõlkides automaatselt määrab meie ilma soota asesõnad inglise keeles sooliseks olenevalt sellest, mis ametinimetust lauses kasutad. | reddit.com/r/Eesti | 2021-02-05
Treenimiseks antakse masinale (https://github.com/google/seq2seq) väga palju tõlkepaare sisse, kui need tõlkepaarid ongi tänapäevasest stereotüüpsest maailmast siis väga midagi sinna parata ei saa. Keegi teadlikult vähemalt seda masinat stereotüüpseks ei teinud.
Learning to See in the Dark. CVPR 2018Project mention: This AI fixes your dark photos.. | reddit.com/r/Damnthatsinteresting | 2021-02-12
I think this algorithm can be applied to cameras. If you know coding, you can check out this: https://github.com/cchen156/Learning-to-See-in-the-Dark
Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.Project mention: I trained a neural network on every town and village name in England and then made a website that lets you generate them | reddit.com/r/unitedkingdom | 2021-08-30
This is an utterly fantastic question but I actually don't understand much about neural nets at all, and am just using a prebuilt python library is basically text based neural nets for idiots (https://github.com/minimaxir/textgenrnn) Happy to share data though if you want to find this out and would know how?
Robust Video Matting in PyTorch, TensorFlow, TensorFlow.js, ONNX, CoreML!Project mention: [D] AI Background Removal: a quick comparison between RVM & BGMv2 | reddit.com/r/MachineLearning | 2021-10-10
Predictive AI layer for existing databases.
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