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
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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
This is the official code for MobileSAM project that makes SAM lightweight for mobile applications and beyond!
YOLOv6: a single-stage object detection framework dedicated to industrial applications.
Implement a reasoning LLM in PyTorch from scratch, step by step
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
From the basics to slightly more interesting applications of Tensorflow
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.
Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
Technical Analysis Library using Pandas and Numpy
CoTracker is a model for tracking any point (pixel) on a video.
A computer science textbook
Code repo for realtime multi-person pose estimation in CVPR'17 (Oral)
links to conference publications in graph-based deep learning
Translated🎓 Academic portfolio that boosts citations. AI generates pages, you own as Markdown. BibTeX auto-import, Jupyter, LaTeX, slides, visual block editor — free to host forever. Academic homepage, AI-generated, Markdown-owned 👇
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier
MIMIC Code Repository: Code shared by the research community for the MIMIC family of databases
Quantitative analysis, strategies and backtests
[Legacy] Data & AI Notebook templates catalog organized by tools, following the IMO (input, model, output) framework for easy usage and discovery..
TranslatedCovers pre-training data, Tokenizer, Transformer, MoE,distributed training, Scaling Laws, inference & alignment .6 progressive code assignments for full-stack LLM learning
TranslatedCAPTCHA recognition
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.
Handout for the tutorial "Creating publication-quality figures with matplotlib"