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Top 23 Tensorflow2 Open-Source Projects
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DeepLearningExamples
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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TTS
:robot: :speech_balloon: Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts) (by mozilla)
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tensorflow-deep-learning
All course materials for the Zero to Mastery Deep Learning with TensorFlow course. (by mrdbourke)
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Tools-to-Design-or-Visualize-Architecture-of-Neural-Network
Tools to Design or Visualize Architecture of Neural Network
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TensorFlowTTS
:stuck_out_tongue_closed_eyes: TensorFlowTTS: Real-Time State-of-the-art Speech Synthesis for Tensorflow 2 (supported including English, French, Korean, Chinese, German and Easy to adapt for other languages)
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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doctr
docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.
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super-resolution
Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution
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deep-learning-containers
AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet.
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pix2seq
Pix2Seq codebase: multi-tasks with generative modeling (autoregressive and diffusion) (by google-research)
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DeepRL-TensorFlow2
π Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2
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CARLA
CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms (by carla-recourse)
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
Project mention: Batendo BOVA11 - Approach usando Reinforcement Learning | /r/farialimabets | 2023-09-11FinRL ---> https://github.com/AI4Finance-Foundation/FinRL
Coqui-ai was a commercial continuation of Mozilla TTS and STT (https://github.com/mozilla/TTS).
At the time (2018-ish), it was really impressive for on-device voice synthesis (with a quality approaching the Google and Azure cloud-based voice synthesis options) and open source, so a lot of people in the FOSS community were hoping it could be used for a privacy-respecting home assistant, Linux speech synthesis that doesn't suck, etc.
After Mozilla abandoned the project, Coqui continued development and had some really impressive one-shot voice cloning, but pivoted to marketing speech synthesis for game developers. They were probably having trouble monetizing it, and it doesn't surprise me that they shut down.
An equivalent project that's still in active development and doing really well is Piper TTS (https://github.com/rhasspy/piper).
Project mention: Building an AI Game Bot π€Using Imitation Learning and 3D Convolution ResNet | dev.to | 2024-01-02def compute_mean_std(dataloader): ''' We assume that the images of the dataloader have the same height and width source: https://github.com/aladdinpersson/Machine-Learning-Collection/blob/master/ML/Pytorch/Basics/pytorch_std_mean.py ''' # var[X] = E[X**2] - E[X]**2 channels_sum, channels_sqrd_sum, num_batches = 0, 0, 0 for batch_images, labels in tqdm(dataloader): # (B,H,W,C) batch_images = batch_images.permute(0,3,4,2,1) channels_sum += torch.mean(batch_images, dim=[0, 1, 2, 3]) channels_sqrd_sum += torch.mean(batch_images ** 2, dim=[0, 1, 2,3]) num_batches += 1 mean = channels_sum / num_batches std = (channels_sqrd_sum / num_batches - mean ** 2) ** 0.5 return mean, std compute_mean_std(dataloader)
Project mention: Programs to create model architectures schemes | /r/learnmachinelearning | 2023-05-31I can recommend this repo it offers a lot of visualization methods for neural networks.
Hey HN, has anyone found a viable solution for doing this locally and offline on iOS? I'd like to offer a privacy-friendly text to speech feature to my App, and Apple's speech synthesis sounds awful compared to some newer models and TTS engines. The only thing I've found is an older TensorflowTTS example here: https://github.com/TensorSpeech/TensorFlowTTS/tree/master/examples/ios
Any pointers or tips appreciated.
Project mention: Show HN: How do you OCR on a Mac using the CLI or just Python for free | news.ycombinator.com | 2024-01-02https://github.com/mindee/doctr/issues/1049
I am looking for something this polished and reliable for handwriting, does anyone have any pointers? I want to integrate it in a workflow with my eink tablet I take notes on. A few years ago, I tried various models, but they performed poorly (around 80% accuracy) on my handwriting, which I can read almost 90% of the time.
Project mention: Coding Wonderland: Contribute to YData Profiling and YData Synthetic in this Advent of Code | dev.to | 2023-12-05Send us your North βοΈ: "On the first day of Christmas, my true contributor gave to me..." a star in my GitHub tree! π΅ If you love these projects too, star ydata-profiling or ydata-synthetic and let your friends know why you love it so much!
We are ready to create and deploy the sagemaker model on SageMaker as asynchronous endpoint using a image URI and the model data uploaded to S3. For different deployment regions and requirements, find suitable container images at AWS Deep Learning Container.
Project mention: Show HN: Custom Action Recognition with ActionAI | news.ycombinator.com | 2023-09-23
Project mention: Ask HN: Please recommend me an NSFW content detection API | news.ycombinator.com | 2023-09-08If you have the inclination you can try opennsfw2[0].
If you have content that slips through you can finetune it with your dataset to improve detection.
[0] - https://github.com/bhky/opennsfw2
Tensorflow2 related posts
- ydata-synthetic: NEW Data - star count:1083.0
- Ask HN: On-Device Text to Speech
- Assessing the Quality of Synthetic Data with Data-Centric AI
- SOMEBODY HELP ME!
- Help for Data Scientist position
- How to become a beast in DS ?
- Hey guys, I have a few questions
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A note from our sponsor - WorkOS
workos.com | 27 Apr 2024
Index
What are some of the best open-source Tensorflow2 projects? This list will help you:
Project | Stars | |
---|---|---|
1 | DeepLearningExamples | 12,607 |
2 | FinRL | 9,093 |
3 | TTS | 8,806 |
4 | Machine-Learning-Collection | 6,936 |
5 | tensorflow-deep-learning | 4,859 |
6 | Tools-to-Design-or-Visualize-Architecture-of-Neural-Network | 4,038 |
7 | TensorFlowTTS | 3,697 |
8 | doctr | 3,038 |
9 | spektral | 2,344 |
10 | labml | 1,867 |
11 | super-resolution | 1,452 |
12 | ydata-synthetic | 1,286 |
13 | deep-learning-containers | 931 |
14 | pix2seq | 807 |
15 | ActionAI | 724 |
16 | TrainYourOwnYOLO | 635 |
17 | DeepRL-TensorFlow2 | 573 |
18 | Deep-SORT-YOLOv4 | 492 |
19 | metrabs | 413 |
20 | License-super-resolution | 357 |
21 | opennsfw2 | 315 |
22 | Mask-RCNN-TF2 | 299 |
23 | CARLA | 263 |
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