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Top 23 Python Tensorflow Projects
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Project mention: None of the top 10 projects in GitHub is actually a software project 🤯 | dev.to | 2025-05-10
We see an addition to the AI community with AutoGPT. Along with Tensorflow they represent the AI community in the software category, which is getting relevant (2 out of 8). We can expect in the future to have new AI projects in the top 25 such as Transformers or Ollama (currently top 34 and 36, respectively).
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InfluxDB
InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
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The unchallenged leader in AI development is still Python. and Keras, and robust community support.
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Project mention: ChatGPT unexpectedly began speaking in a user's cloned voice during testing | news.ycombinator.com | 2024-08-11
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Resource: BERT Paper
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Ray
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
I'm guessing this comment is some kind of "if you know, you know." Likely starting from https://docs.ray.io/en/latest/cluster/vms/user-guides/launch... and then trawling through one of these I guess https://github.com/ray-project/ray/issues?q=is%3Aissue+prem+...
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data-science-ipython-notebooks
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.
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Project mention: DeepMind releases Lyria 2 music generation model | news.ycombinator.com | 2025-04-24
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SaaSHub
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d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
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Project mention: Octopuses seen hunting together with fish, punching those that don't cooperate | news.ycombinator.com | 2024-09-26
The study: https://www.nature.com/articles/s41559-024-02525-2
Sampaio et al., Multidimensional social influence drives leadership and composition-dependent success in octopus–fish hunting groups
I was curious about the the 3D reconstruction of the scenes.
> We manually tracked individuals in the videos using the software Computer Vision Annotation Tool. We annotated three frames per second, which yielded a time resolution of 0.33 s for animal movement.
> We then used another software developed to incorporate the previously tracked animals in each camera in the ‘colmap’ habitat models and camera paths, ‘multiviewtracks’ or ‘mvt’ [29]
> [29] Francisco, F. A., Nührenberg, P. & Jordan, A. High-resolution, non-invasive animal tracking and reconstruction of local environment in aquatic ecosystems
Seems it was specifically developed to track fish. Cool project.
Links to https://github.com/matterport/Mask_RCNN and https://github.com/pnuehrenberg/multiviewtracks.
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datasets
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
Project mention: 20 Open Source Tools I Recommend to Build, Share, and Run AI Projects | dev.to | 2024-11-13Datasets library repository for accessing and sharing datasets with the community.
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Project mention: A ranked list of machine learning Python libraries. Updated weekly | news.ycombinator.com | 2025-01-31
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wandb
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
Project mention: 💡 TinyLlama Meets LoRA: A Lightweight Approach to Emotion Classification | dev.to | 2025-05-05Tweak Hyperparameters: I’d love to use Weights & Biases to fine-tune settings.
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einops
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
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deeplake
Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai
Finally, we stored these vectors in our chosen database: the activeloop DeepLake database. This database is open source, something near and dear to our own open-source hearts. We will cover some additional details in a further section, but it is specifically designed to handle vector data and perform efficient similarity searches, which is crucial for quick and accurate retrieval during the RAG process.
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Project mention: Conversational AI and the Evolution of Search: Redefining How We Find Information | dev.to | 2025-01-29
DeepPavlov: A conversational AI library for building multi-skill chatbots and virtual assistants.
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NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
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Index
What are some of the best open-source Tensorflow projects in Python? This list will help you:
| # | Project | Stars |
|---|---|---|
| 1 | transformers | 144,686 |
| 2 | Keras | 63,019 |
| 3 | Real-Time-Voice-Cloning | 54,250 |
| 4 | bert | 39,151 |
| 5 | Ray | 37,163 |
| 6 | data-science-ipython-notebooks | 27,993 |
| 7 | spleeter | 26,840 |
| 8 | supervision | 26,637 |
| 9 | d2l-en | 25,832 |
| 10 | Mask_RCNN | 25,148 |
| 11 | datasets | 20,172 |
| 12 | best-of-ml-python | 20,073 |
| 13 | horovod | 14,487 |
| 14 | ivy | 14,198 |
| 15 | facenet | 14,037 |
| 16 | wandb | 9,870 |
| 17 | TFLearn | 9,621 |
| 18 | autokeras | 9,236 |
| 19 | einops | 8,930 |
| 20 | deeplake | 8,631 |
| 21 | python-small-examples | 8,060 |
| 22 | TensorLayer | 7,360 |
| 23 | DeepPavlov | 6,882 |
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