Toturials coming with the "data science roadmap" picture.
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A unified framework for 3D content generation.
The image prompt adapter is designed to enable a pretrained text-to-image diffusion model to generate images with image prompt.
Repo for the Complete Agentic AI Engineering Course
A course in reinforcement learning in the wild
- reinforcement-learning
- course-materials
- deep-learning
- deep-reinforcement-learning
Accepted as [NeurIPS 2024] Spotlight Presentation Paper
TensorFlow documentation
- tensorflow
- tensorflow-tutorials
- tensorflow-examples
- documentation
Financial portfolio optimization in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
- finance
- portfolio-optimization
- portfolio-management
- quantitative-finance
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
- time-series-classification
- deep-learning
- fastai
- pytorch
Chinese version of CLIP which achieves Chinese cross-modal retrieval and representation generation.
- chinese
- computer-vision
- multi-modal-learning
- nlp
Implement a reasoning LLM in PyTorch from scratch, step by step
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
Efficient Image Captioning code in Torch, runs on GPU
Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
- deep-learning
- neural-network
- convolutional-networks
- pytorch
Create delightful software with Jupyter Notebooks
- jupyter-notebooks
- python
- literate-programming
- fastai
Tacotron 2 - PyTorch implementation with faster-than-realtime inference
Technical Analysis Library using Pandas and Numpy
- trading
- technical-analysis
- python3
- volume
The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.
- efficientdet
- efficientnet
- pytorch
- object-detection
Sutskever 30 implementations inspired by https://papercode.vercel.app/ | For Agents, use https://github.com/pageman/Sutskever-Agent | Polyglot / Multi-Backed version at https://github.com/pageman/sutskever-30-beyond-numpy
Repo for the Deep Reinforcement Learning Nanodegree program
- deep-reinforcement-learning
- reinforcement-learning
- reinforcement-learning-algorithms
- neural-networks
Translated"A Guide to Building the Large Model White Box": a Tiny-Universe made entirely by hand
links to conference publications in graph-based deep learning
- graph-neural-networks
- graph-convolutional-networks
- graph
- deep-learning
Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.
- dependency-graph