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Cornell University
- Ithaca, New York
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01:49
(UTC -05:00) - https://orcid.org/0009-0008-0697-2640
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D-FINE: Redefine Regression Task of DETRs as Fine-grained Distribution Refinement 💥💥💥
A 15TB Collection of Physics Simulation Datasets
LaTeX Template for Mike Morrison's #betterposter
[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
Images to inference with no labeling (use foundation models to train supervised models).
Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models l…
A JAX research toolkit for building, editing, and visualizing neural networks.
A generative AI extension for JupyterLab
Python package to discover stochastic differential equations from time series data
This is the official repository for the "doggo dot jl" YouTube channel (fka "julia for talented amateurs").
This is the notebook associated with the blog post:
A collection of various deep learning architectures, models, and tips
Solutions to problems from "Cracking the Coding Interview 6E" by Gayle Laakmann McDowell
Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai
Programming assignments from all courses in the Coursera Natural Language Processing Specialization offered by deeplearning.ai.
Programming assignments, labs and quizzes from all courses in the Coursera AI for Medicine Specialization offered by deeplearning.ai
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
amanchadha / Efficient_Python_tricks_and_tools_for_data_scientists
Forked from khuyentran1401/Efficient_Python_tricks_and_tools_for_data_scientistsEfficient Python Tricks and Tools for Data Scientists
A curated list of leetcode questions grouped by their common patterns
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep N…
An awesome README template to jumpstart your projects!
NMA deep learning course
List of Research Internships for Undergraduate Students
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.