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Top 23 Deep Learning Open-Source Projects
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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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nn
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
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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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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
Project mention: TensorFlow-metal on Apple Mac is junk for training | news.ycombinator.com | 2024-01-16
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
Project mention: Maxtext: A simple, performant and scalable Jax LLM | news.ycombinator.com | 2024-04-23Is t5x an encoder/decoder architecture?
Some more general options.
The Flax ecosystem
https://github.com/google/flax?tab=readme-ov-file
or dm-haiku
https://github.com/google-deepmind/dm-haiku
were some of the best developed communities in the Jax AI field
Perhaps the “trax” repo? https://github.com/google/trax
Some HF examples https://github.com/huggingface/transformers/tree/main/exampl...
Sadly it seems much of the work is proprietary these days, but one example could be Grok-1, if you customize the details. https://github.com/xai-org/grok-1/blob/main/run.py
TensorFlow, developed by Google, and PyTorch, developed by Facebook, are two of the most popular frameworks for building and training complex machine learning models. TensorFlow is known for its flexibility and robust scalability, making it suitable for both research prototypes and production deployments. PyTorch is praised for its ease of use, simplicity, and dynamic computational graph that allows for more intuitive coding of complex AI models. Both frameworks support a wide range of AI models, from simple linear regression to complex deep neural networks.
Project mention: การจำแนกสายพันธุ์มะม่วง โดยใช้ Visual Geometry Group 16 (VGG16) ใน Python | dev.to | 2024-04-16Referenceshttps https://www.kaggle.com/datasets/riyaelizashaju/skin-disease-image-dataset-balanced?fbclid=IwAR3wbTp8l5yo_5fx6HAX8Vd2-9cca3khAc8EiBGFObaALfdVid29IuB_rYE https://keras.io/api/applications/vgg/ https://www.tensorflow.org/tutorials/images/cnn?hl=th https://opencv.org/
course Computer science is very wast field the fundamental remains same, learn basic fundamentals, data structures, concepts of object oriented programming.
As a beginner, I was looking for something simple and flexible for developing deep learning models and that is when I found Keras. Many AI/ML professionals appreciate Keras for its simplicity and efficiency in prototyping and developing deep learning models, making it a preferred choice, especially for beginners and for projects requiring rapid development.
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: Top 10 GitHub Repositories Every Developer Should Bookmark in 2024 | dev.to | 2024-02-072) 100 Days of ML Code: Embark on a 100-day journey into the fascinating world of machine learning with this structured curriculum. Packed with bite-sized coding challenges and real-world projects, this repository will transform you from a coding novice to a confident ML enthusiast. (https://github.com/Avik-Jain/100-Days-Of-ML-Code)
Project mention: [D] How do you keep up to date on Machine Learning? | /r/learnmachinelearning | 2023-08-13Made With ML
Project mention: Ask HN: What is the state of the art in AI photo enhancement? | news.ycombinator.com | 2024-01-24
Click to Learn more...
Project mention: I am out of the loop. Is Next.js "the future" and something I should consider adding to my knowledge pool? | /r/webdev | 2023-07-05What do you have against tesseract.js?
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: Creating a Sales Analysis Application with Streamlit: A Practical Approach to Business Intelligence | dev.to | 2024-04-192.-Go to https://streamlit.io, log in, and create a new app from your GitHub repository.
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).
Deep Learning related posts
- How to Estimate Depth from a Single Image
- Burn: Deep Learning Framework built using Rust
- Maxtext: A simple, performant and scalable Jax LLM
- My Favorite DevTools to Build AI/ML Applications!
- Show HN: Auto Wiki v2 – Turn your codebase into a Wiki now with diagrams
- Release: Keras 3.3.0
- Machine Learning with PHP
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A note from our sponsor - InfluxDB
www.influxdata.com | 25 Apr 2024
Index
What are some of the best open-source Deep Learning projects? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | tensorflow | 182,323 |
| 2 | stable-diffusion-webui | 129,299 |
| 3 | transformers | 124,557 |
| 4 | Pytorch | 77,783 |
| 5 | OpenCV | 75,566 |
| 6 | cs-video-courses | 64,788 |
| 7 | Keras | 60,902 |
| 8 | Real-Time-Voice-Cloning | 50,738 |
| 9 | faceswap | 49,178 |
| 10 | nn | 48,004 |
| 11 | yolov5 | 46,921 |
| 12 | Prompt-Engineering-Guide | 43,711 |
| 13 | 100-Days-Of-ML-Code | 43,302 |
| 14 | TensorFlow-Examples | 43,200 |
| 15 | ColossalAI | 37,836 |
| 16 | Deep-Learning-Papers-Reading-Roadmap | 37,120 |
| 17 | Made-With-ML | 35,610 |
| 18 | GFPGAN | 34,594 |
| 19 | Caffe | 33,859 |
| 20 | MockingBird | 33,796 |
| 21 | Tesseract.js | 33,498 |
| 22 | DeepSpeed | 32,550 |
| 23 | streamlit | 31,506 |
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