Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
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NeRF (Neural Radiance Fields) and NeRF in the Wild using pytorch-lightning
- nerf
- neural-radiance-fields
- view-synthesis
- pytorch
Book_6_《数据有道》 | 鸢尾花书：从加减乘除到机器学习；欢迎大家批评指正！纠错多的同学会得到赠书感谢！
- data
- data-science
- data-visualization
- feature-engineering
List of papers, code and experiments using deep learning for time series forecasting
- time-series-forecasting
- lstm-neural-networks
- lstm
- deep-learning
FLUX, Stable Diffusion, SDXL, SD3, LoRA, Fine Tuning, DreamBooth, Training, Automatic1111, Forge WebUI, SwarmUI, DeepFake, TTS, Animation, Text To Video, Tutorials, Guides, Lectures, Courses, ComfyUI, Google Colab, RunPod, Kaggle, NoteBooks, ControlNet, TTS, Voice Cloning, AI, AI News, ML, ML News, News, Tech, Tech News, Kohya, Midjourney, RunPod
- dreambooth
- guides
- stable-diffusion
- tts
We unified the interfaces of instruction-tuning data (e.g., CoT data), multiple LLMs and parameter-efficient methods (e.g., lora, p-tuning) together for easy use. We welcome open-source enthusiasts to initiate any meaningful PR on this repo and integrate as many LLM related technologies as possible. 我们打造了方便研究人员上手和使用大模型等微调平台，我们欢迎开源爱好者发起任何有意义的pr！
Jupyter notebooks and other resources for Think Python by Allen Downey, published by O'Reilly Media.
- jupyter-book
- programming
- python
- textbook
Open-source AI cookbook
An Interactive Introduction to Fourier Transforms
The /llms.txt file, helping language models use your website
Comprehensive resources on Generative AI, including a detailed roadmap, projects, use cases, interview preparation, and coding preparation.
Repository for benchmarking graph neural networks (JMLR 2023)
- graph-representation-learning
- graph-neural-networks
- benchmark-framework
- graph-deep-learning
The Open Source Memory Layer For Autonomous Agents
Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
- data-science
- python
- dag
- data-engineering
Files for Udemy Course on Algorithms and Data Structures
This is the repo for our new project Highly Accurate Dichotomous Image Segmentation
- background-removal
- deep-learning
- dichotomous-image-segmentation
- computer-vision
TensorFlow Tutorials
- tensorflow-tutorials
- convolutional-neural-networks
- recurrent-neural-networks
Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the must-know concepts that set the foundation of data science or advanced quantitative skillsets. Suitable for statistician/econometrician, quantitative analysts, data scientists and etc. to quickly refresh the linear algebra with the assistance of Python computation and visualization.
- mathematics
- linear-algebra
- python
- jupyter
Efficient neural feature detector and descriptor
This repositories contains a list of python scripts projects from beginner level advancing slowly. More code snippets to be added soon. feel free to clone this repo
- python-script
- webscrapping
- ascii-art
- beginner-project
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BER
YoloV3 Implemented in Tensorflow 2.0
- tensorflow
- tf2
- yolo
- yolov3
Code for the Make Your Own Neural Network book