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Top 23 Jupyter Notebook Pytorch Projects
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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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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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yolov7
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
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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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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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FinGPT
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
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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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Transformers-Tutorials
This repository contains demos I made with the Transformers library by HuggingFace.
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Dreambooth-Stable-Diffusion
Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion
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lama
🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
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mmagic
OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image generation, image/video restoration/enhancement, etc.
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Yet-Another-EfficientDet-Pytorch
The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.
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deep-learning-v2-pytorch
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
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pytorch-seq2seq
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
Project mention: [D] How do you keep up to date on Machine Learning? | /r/learnmachinelearning | 2023-08-13Made With ML
https://www.manning.com/books/build-a-large-language-model-f...
Project mention: GPT-4, without specialized training, beat a GPT-3.5 class model that cost $10B | news.ycombinator.com | 2024-03-24There is also the open source FinGPT, that is claimed to beat GPT4 in some benchmarks at a fine tuning cost of $17.25.
https://github.com/AI4Finance-Foundation/FinGPT
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).
While OpenAI’s CLIP model has garnered a lot of attention, it is far from the only game in town—and far from the best! On the OpenCLIP leaderboard, for instance, the largest and most capable CLIP model from OpenAI ranks just 41st(!) in its average zero-shot accuracy across 38 datasets.
Most of this tutorial is based on Hugging Face course about Transformers and on Niels Rogge's Transformers tutorials: make sure to check their work and give them a star on GitHub, if you please ❤️
Project mention: Can someone please help me with inpainting settings to remove the subject from this image? I want to rebuild as much of the original background as possible. | /r/StableDiffusion | 2023-07-03You could try to use ControlNet inpaint+lama locally, but results aren't as good in my experience. Or you could try local install of lama directly, but the setup process isn't very smooth.
Jupyter Notebook Pytorch related posts
- Simple Implementation of OpenAI Clip (Tutorial)
- Implementing a ChatGPT-like LLM from scratch, step by step
- WhisperFusion: Ultra-low latency conversations with an AI chatbot
- AI-Powered Nvidia RTX Video HDR Transforms Standard Video into HDR Video
- Show HN: Designing Bridges with PyTorch
- Coqui.ai Is Shutting Down
- Database of 16,000 Artists Used to Train Midjourney AI Goes Viral
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A note from our sponsor - InfluxDB
www.influxdata.com | 28 Apr 2024
Index
What are some of the best open-source Pytorch projects in Jupyter Notebook? This list will help you:
Project | Stars | |
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1 | nn | 48,004 |
2 | Made-With-ML | 35,656 |
3 | fastai | 25,610 |
4 | stable-diffusion-webui-colab | 15,237 |
5 | LLMs-from-scratch | 14,142 |
6 | nlp-tutorial | 13,691 |
7 | yolov7 | 12,715 |
8 | DeepLearningExamples | 12,607 |
9 | FinGPT | 11,419 |
10 | TTS | 8,806 |
11 | open_clip | 8,452 |
12 | Transformers-Tutorials | 7,510 |
13 | Dreambooth-Stable-Diffusion | 7,383 |
14 | lama | 7,165 |
15 | NYU-DLSP20 | 6,625 |
16 | mmagic | 6,570 |
17 | pyprobml | 6,257 |
18 | Practical_RL | 5,716 |
19 | skorch | 5,619 |
20 | YOLOv6 | 5,530 |
21 | Yet-Another-EfficientDet-Pytorch | 5,183 |
22 | deep-learning-v2-pytorch | 5,167 |
23 | pytorch-seq2seq | 5,150 |
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