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Top 23 Python Deep Learning Projects
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SaaSHub
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Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
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MockingBird
🚀AI拟声: 5秒内克隆您的声音并生成任意语音内容 Clone a voice in 5 seconds to generate arbitrary speech in real-time
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DeepSpeed
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
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Ray
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
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pytorch-lightning
Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
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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: Show HN: I made an app to use local AI as daily driver | news.ycombinator.com | 2024-02-27* LLaVA model: I'll add more documentation. You are right Llava could not generate images. For image generation I don't have immediate plans, but checkout these projects for local image generation.
- https://diffusionbee.com/
- https://github.com/comfyanonymous/ComfyUI
- https://github.com/AUTOMATIC1111/stable-diffusion-webui
Sure, knowing the basics of LLM math is necessary. But it's also _enough_ to know this math to fully grasp the code. There are only 4 concepts - attention, feed-forward net, RMS-normalization and rotary embeddings - organized into a clear structure.
Now compare it to the Hugginface implementation [1]. In addition to the aforementioned concepts, you need to understand the hierarchy of `PreTrainedModel`s, 3 types of attention, 3 types of rotary embeddings, HF's definition of attention mask (which is not the same as mask you read about in transformer tutorials), several types of cache class, dozens of flags to control things like output format or serialization, etc.
It's not that Meta's implementation is good and HF's implementation is bad - they pursue different goals in their own optimal way. But if you just want to learn how the model works, Meta's code base is great.
[1]: https://github.com/huggingface/transformers/blob/main/src/tr...
Project mention: PyTorch 2.3: User-Defined Triton Kernels, Tensor Parallelism in Distributed | news.ycombinator.com | 2024-05-10
Keras
Project mention: faceswap VS facefusion - a user suggested alternative | libhunt.com/r/faceswap | 2024-01-30
Ref https://www.youtube.com/watch?v=0GwnxFNfZhM https://github.com/ultralytics/yolov5 https://dev.to/gfstealer666/kaaraich-yolo-alkrithuemainkaartrwcchcchabwatthu-object-detection-3lef https://www.kaggle.com/datasets/devdgohil/the-oxfordiiit-pet-dataset/data
Project mention: Ask HN: What is the state of the art in AI photo enhancement? | news.ycombinator.com | 2024-01-24
Project mention: Can we discuss MLOps, Deployment, Optimizations, and Speed? | /r/LocalLLaMA | 2023-12-06DeepSpeed can handle parallelism concerns, and even offload data/model to RAM, or even NVMe (!?) . I'm surprised I don't see this project used more.
Project mention: Developing a Generic Streamlit UI to Test Amazon Bedrock Agents | dev.to | 2024-05-05I decided to use Streamlit to build the UI as it is a popular and fitting choice. Streamlit is an open-source Python library used for building interactive web applications specially for AI and data applications. Since the application code is written only in Python, it is easy to learn and build with.
Project mention: Ray: Unified framework for scaling AI and Python applications | news.ycombinator.com | 2024-05-03
Project mention: Show HN: Pi-C.A.R.D, a Raspberry Pi Voice Assistant | news.ycombinator.com | 2024-05-13When I did a similar thing (but with less LLM) I liked https://github.com/coqui-ai/TTS but back then I needed to cut out the conversion step from tensor to a list of numbers to make it work really nicely.
gradio is a package developed to ease the development of app interfaces in python and other languages (GitHub)
Alpaca is an instruction-oriented LLM derived from LLaMA, enhanced by Stanford researchers with a dataset of 52,000 examples of following instructions, sourced from OpenAI’s InstructGPT through the self-instruct method. The extensive self-instruct dataset, details of data generation, and the model refinement code were publicly disclosed. This model complies with the licensing requirements of its base model. Due to the utilization of InstructGPT for data generation, it also adheres to OpenAI’s usage terms, which prohibit the creation of models competing with OpenAI. This illustrates how dataset restrictions can indirectly affect the resulting fine-tuned model.
Project mention: How I discovered Named Entity Recognition while trying to remove gibberish from a string. | dev.to | 2024-05-06
Project mention: SB-1047 will stifle open-source AI and decrease safety | news.ycombinator.com | 2024-04-29It's very easy to get started, right in your Terminal, no fees! No credit card at all.
And there are cloud providers like https://replicate.com/ and https://lightning.ai/ that will let you use your LLM via an API key just like you did with OpenAI if you need that.
You don't need OpenAI - nobody does.
virtual dj and others stem separator is shrinked model of this https://github.com/deezer/spleeter you will get better results downloading original + their large model.
Project mention: The CEO of Ultralytics (yolov8) using LLMs to engage with commenters on GitHub | news.ycombinator.com | 2024-02-12Yep, I noticed this a while ago. It posts easily identifiable ChatGPT responses. It also posts garbage wrong answers which makes it worse than useless. Totally disrespectful to the userbase.
https://github.com/ultralytics/ultralytics/issues/5748#issue...
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).
Python Deep Learning related posts
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HMT: Hierarchical Memory Transformer for Long Context Language Processing
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Show HN: Pi-C.A.R.D, a Raspberry Pi Voice Assistant
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PyTorch 2.3: User-Defined Triton Kernels, Tensor Parallelism in Distributed
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Intel Arc A770: Arrays larger than 4GB crashes
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Ask HN: Open-source, local Text-to-Speech (TTS) generators
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PennyLane: Python library for differentiable programming of quantum computers
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Anomaly Detection with FiftyOne and Anomalib
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A note from our sponsor - InfluxDB
www.influxdata.com | 17 May 2024
Index
What are some of the best open-source Deep Learning projects in Python? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | stable-diffusion-webui | 131,121 |
| 2 | transformers | 126,170 |
| 3 | Pytorch | 78,436 |
| 4 | Keras | 61,044 |
| 5 | Real-Time-Voice-Cloning | 50,951 |
| 6 | faceswap | 49,390 |
| 7 | yolov5 | 47,375 |
| 8 | ColossalAI | 37,989 |
| 9 | Deep-Learning-Papers-Reading-Roadmap | 37,120 |
| 10 | GFPGAN | 34,737 |
| 11 | MockingBird | 33,959 |
| 12 | DeepSpeed | 32,942 |
| 13 | streamlit | 32,051 |
| 14 | Ray | 31,414 |
| 15 | TTS | 29,831 |
| 16 | gradio | 29,400 |
| 17 | pytorch-tutorial | 29,187 |
| 18 | stanford_alpaca | 28,893 |
| 19 | spaCy | 28,849 |
| 20 | pytorch-lightning | 27,064 |
| 21 | data-science-ipython-notebooks | 26,532 |
| 22 | spleeter | 25,003 |
| 23 | ultralytics | 23,574 |
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