Top 23 Python Tensorflow Projects
Deep Learning for humansProject mention: [Project] I'm trying to implement StyleGAN2 in Keras to better understand its structure and just AAAAAAAA | reddit.com/r/learnmachinelearning | 2021-05-17
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX.Project mention: [eclectus] - a free tool for stock research, I used nlp to summarize important sec filings | reddit.com/r/SideProject | 2021-06-13
If I was to do it again I would use Pegasus implemented with hugging face's tranformers https://huggingface.co/transformers/ https://huggingface.co/transformers/model_doc/pegasus.html
Scout APM - Leading-edge performance monitoring starting at $39/month. 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.
TensorFlow code and pre-trained models for BERTProject mention: [1810.04805] BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding | reddit.com/r/Regressions | 2021-06-02
PDF link Landing page
Clone a voice in 5 seconds to generate arbitrary speech in real-timeProject mention: I decided to create a version of Fitter Happier, but with Thom's synthesized voice. | reddit.com/r/radiohead | 2021-05-29
I used this github repository and this interview (I chose that interview because the background noise is clean)
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: How can I use machine learning to count bikes and cars on some video footage? | reddit.com/r/artificial | 2021-05-29
object detection with mask rcnn is an approach
Deezer source separation library including pretrained models.Project mention: DE AQUEL AMOOOOR DE MÚSICA LIGERAAA | reddit.com/r/dankgentina | 2021-06-14
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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: SKLean, TensorFlow, etc vs Spark ML? | reddit.com/r/apachespark | 2021-02-12
I'm the maintainer for an open source project called Horovod that allows you to distribute deep learning training (e.g., TensorFlow) on platforms like Spark.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 175 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: [D] Efficient ways of choosing number of layers/neurons in a neural network | reddit.com/r/statistics | 2021-04-20
optuna, hyperopt, nni, plenty of less-known tools too.
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.
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
🤗 The largest hub of ready-to-use NLP datasets for ML models with fast, easy-to-use and efficient data manipulation toolsProject mention: Build an Embeddings index with Hugging Face Datasets | dev.to | 2021-01-28
This article shows how txtai can index and search with Hugging Face's Datasets library. Datasets opens access to a large and growing list of publicly available datasets. Datasets has functionality to select, transform and filter data stored in each dataset.
AutoML library for deep learningProject mention: Technical documentation that just works | news.ycombinator.com | 2021-05-27
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.
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 ranked list of awesome machine learning Python libraries. Updated weekly.Project mention: Are there any speech recognition modules so I can write one and do not have to rely on google and the likes? | reddit.com/r/learnmachinelearning | 2021-04-18
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: makeitmetal.net - A metal band name generator using Python/Tensorflow | reddit.com/r/Python | 2021-06-01
I started off with the model from textgenrnn, which is an RNN with LSTM layers. I'm not an expert on deep learning or different model architectures, and textgenrnn is a great starting point because you can use pretrained weights as a starting point for your model. I tweaked the model architecture slightly to allow multiple context labels, but most of the work on this project was porting the model to TensorFlow.js so it could run in the browser once I'd trained it in Python.
An easier way to build neural search on the cloudProject mention: My open-source project is on Github trending #1 spot. I'm elated :), AMA | reddit.com/r/github | 2021-06-15
It's been almost 1.5 yr since we launched this open source project Jina - A Neural Search framework. And today, we end up in Github Trending #1 spot.
Predictive AI layer for existing databases.
😎 Finding duplicate images made easy!Project mention: How to remove duplicate images from your dataset (Also CIFAR-100 has issues) | reddit.com/r/computervision | 2021-02-01
I had used phash to find the duplicate images. The hashing algorithm is ingenious...And it was able to find duplicates (and thus remove) efficiently imagededub has perceptual hashing.
What are some of the best open-source Tensorflow projects in Python? This list will help you: