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Top 23 Python Tensorflow Projects
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.Project mention: BetterTransformer: PyTorch-native free-lunch speedups for Transformer-based models | reddit.com/r/MachineLearning | 2022-11-22
In order to support BetterTransformer with the canonical Transformer models from Transformers library, an integration was done with the open-source library Optimum as a one-liner:
Deep Learning for humansProject mention: Weekly Quant Update 10.11.22 - Surviving a fundamental crisis with trading bots | reddit.com/r/u_KappaTrading | 2022-11-10
All strategies share some common traits: They all use Neural Net libraries. 2 use TensorFlow The other uses python Keras Library https://github.com/keras-team/keras
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Clone a voice in 5 seconds to generate arbitrary speech in real-timeProject mention: Speech to text | reddit.com/r/AskTechnology | 2022-09-29
TensorFlow code and pre-trained models for BERTProject mention: [R] LiBai: a large-scale open-source model training toolbox | reddit.com/r/MachineLearning | 2022-11-09
Found relevant code at https://github.com/google-research/bert + all code implementations here
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.
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlowProject mention: DeepCreamPy & Hent-AI Guide: Installation and anime censorship removal (Version 2) | reddit.com/r/AnimeResearch | 2022-10-20
It is important to realize that to do its masking procedures, Hent-AI uses the Mask RCNN (MRCNN) package from Matterport. The problem with this version of MRCNN is that it is not compatible with Tensorflow 2.X versions, essentially limiting Hent-AI compatibility to strict Tensorflow 1.X versions. Since Tensorflow 1.15 is the last of the Tensorflow 1.X versions and uses CUDA 10.0, which supports a maximum compute capability of 7.5, this means that the last NVIDIA GPU series that is compatible with the original Hent-AI implementation is the RTX 2000 series. This is, of course, not optimal since it means that RTX 3000 series and later GPUs cannot be used despite their significant computing power and high VRAM.
Deezer source separation library including pretrained models.Project mention: Need help isolating and separating audio | reddit.com/r/audioengineering | 2022-11-21
You can look into Demucs GUI. It's an AI music seperation tool developed by Facebook AI research. There are other music seperation tools like Deezer's Spleeter which I think is the music seperation engine used used in iZotope's RX10 (at no cost). Demucs is ime is the best at isolating vocals if you use the unquantized trained modelsi.e mdx and mdx_extra. Personally I find mdx_extra the best trained model for Demucs.
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Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 400 universities from 60 countries including Stanford, MIT, Harvard, and Cambridge.Project mention: How to pre-train BERT on different objective tasks using HuggingFace | reddit.com/r/deeplearning | 2022-04-10
There might is bert library for pre-train bert model in huggingface, But I suggestion that you train bert model in native pytorch to understand detail, Limu's course is recommended for you
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Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.Project mention: Anyone know of any papers or models for segmenting satellite images of a city into things like roads, buildings, parks, etc? | reddit.com/r/MLQuestions | 2022-04-25
Training is not the same as inference (doing the segmentation), so that scale is probably off by a lot. One or two orders of magnitude just depending on the specifics of what hardware you're running on, and your training and eval dataset would be several orders of magnitude smaller. FAANGs would parallelize that training as well (don't remember if UNet is inherently parallelizable for training) via their internal equivalent of Horovod, so they'll do a GPU-month worth of training in less than a day.
Face recognition using Tensorflow
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.Project mention: Best-Of Machine Learning with Python | news.ycombinator.com | 2022-04-28
🏄 Embed/reason/rank images and sentences with CLIP modelsProject mention: Image Similarity Score using transfer learning | reddit.com/r/MLQuestions | 2022-08-31
Deep learning library featuring a higher-level API for TensorFlow.Project mention: Beginner Friendly Resources to Master Artificial Intelligence and Machine Learning with Python (2022) | dev.to | 2022-08-14
TFLearn – Deep learning library featuring a higher-level API for TensorFlow
AutoML library for deep learningProject mention: Machine Learning Algorithms Cheat Sheet | news.ycombinator.com | 2022-02-19
The Unified Machine Learning FrameworkProject mention: DL Frameworks in a nutshell | reddit.com/r/DataScienceMemes | 2022-09-10
Won't it all come together with https://lets-unify.ai/ ?
告别枯燥，致力于打造 Python 实用小例子，更多Python良心教程见 Python中文网 http://www.zglg.workProject mention: Ask HN: What are the best tutorial sites for Python? | news.ycombinator.com | 2022-11-23
All these are neither recent (they are updated though) nor AI related. Here you go :
If you are new to dev, I like "think python"
If you are already into programming, I personally find sifting through organized small code snippets helpful for learning a new language :
Finally, "The Hitchhiker’s Guide to Python" is good for everything configuration, and usage.
Deep Learning and Reinforcement Learning Library for Scientists and EngineersProject mention: Introduction to ‘TensorLayer’: A Python-based Versatile Deep Learning Library Designed for Machine Learning Researchers | reddit.com/r/Python | 2022-02-20
Setup and customize deep learning environment in seconds.Project mention: Base image with both PyTorch and Tensorflow? | reddit.com/r/docker | 2022-02-09
I found an image though, though there's some setup involved: https://github.com/ufoym/deepo
NVR with realtime local object detection for IP camerasProject mention: UK government ban for Chinese Hikvision CCTV cameras | reddit.com/r/ukpolitics | 2022-11-25
If anyone is considering installing CCTV cameras in 2022 an open source offering called Frigate is a good option: https://github.com/blakeblackshear/frigate
Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devicesProject mention: Does the Haskell client for Selenium still work? | reddit.com/r/haskell | 2022-06-29
You could already tell from my earlier comment, but I don't think Python is a good language, for anything really. It is used for AI so that today's hardware performs like hardware we had twenty years ago: https://github.com/thtrieu/darkflow/issues/904 Python code has slow execution speed. It is not always the Selenium which is slow. sometimes we need to look at code we are using. And Python is always the slowest programming language out there in terms of performance. It's also just a stupid language that annoys me and it's the same with other people: https://medium.com/nerd-for-tech/python-is-a-bad-programming-language-2ab73b0bda5 With Python, I find it a bit too easy to write sloppy code. Haskell on the other hand really forces you to break the problem done and abstract out reusable code. That's not to say that you can't write nice code in Python, just that Haskell doesn't let you get away with doing a lot of stupid stuff. This is equally important for Selenium.
Deep learning operations reinvented (for pytorch, tensorflow, jax and others)Project mention: [D] Any independent researchers ever get published/into conferences? | reddit.com/r/MachineLearning | 2022-04-29
It depends on what are their main purposes. I know some figures who have done an amazing job in this field but never because of publications, e.g. https://github.com/lucidrains and https://github.com/rwightman, https://einops.rocks/
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Python Tensorflow related posts
UK government ban for Chinese Hikvision CCTV cameras
1 project | reddit.com/r/ukpolitics | 25 Nov 2022
Suggestions for security camera that doesn't require subscription?
1 project | reddit.com/r/homedefense | 24 Nov 2022
Hotdog. Not hotdog.
1 project | reddit.com/r/SiliconValleyHBO | 23 Nov 2022
DVR for an SMB?
1 project | reddit.com/r/videosurveillance | 22 Nov 2022
Semantic Search with SQLite
2 projects | reddit.com/r/Python | 22 Nov 2022
Need help isolating and separating audio
2 projects | reddit.com/r/audioengineering | 21 Nov 2022
Finetuning Bert with SQuAD 2.0
1 project | reddit.com/r/LanguageTechnology | 21 Nov 2022
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What are some of the best open-source Tensorflow projects in Python? This list will help you: