This repository aims to collect all University CS Resources available online for everyone to use.
If you want to contribute to this list, please read Contributing Guidelines
These are the pre-fixed Resources you may use for University's Resources:
- Algorithms and data structures
- Artificial Intelligence
- Bots
- Cryptography
- Dataset Collection
- Data Science
- Deep Learning
- Machine Learning
- Security
- Speech and Natural Language Processing
- Web Dev
... and more, if you have any other resources, head over to Contributing Guidelines
- Caltech
- CMU
- Cornell
- Harvard
- MIT
- Princeton
- SJSU
- Stanford
- UCB
- UCI
- UCLA
- UIUC
- UMich
- University of North Carolina at Chapel Hill
- U Penn
- University of Waterloo
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- Caltech-UCSD Birds-200-2011
- Caltech Pedestrian Database
- Caltech 101 - Pictures of objects belonging to 101 categories.
- Caltech-256 - Pictures of objects belonging to 256 categories.
- Home Objects dataset
- Giuseppe Toys dataset
- Caltech 10, 000 Web Faces
- 3D Objects on Turntable
- Cars 2001 (Rear) - 526 images of Cars from the rear
- Cars 1999 (Rear 2) - 126 images of Cars from the rear
- Motorcycles 2001 (Side) - 826 images of motorbikes from the side
- Airplanes (Side) - 1074 images of airplanes from the side
- Faces 1999 (Front) - 450 frontal face images of 27 or so unique people
- Leaves 1999 - 186 images of 3 species of leaves against cluttered backgrounds
- Background - 550 images of assorted scenes
- Pasadena Buildings 2010 - 125 houses around Pasadena and the Caltech campus
- Pasadena Houses 2000 - 241 photographs of Pasadena houses
- Caltech and Pasadena Entrances 2000 - 167 photographs of Caltech and Pasadena doors and entrances
- Caltech Lanes Dataset
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- Algorithms: Design and Analysis, Part 1
- Algorithms: Design and Analysis, Part 2
- Compilers
- Convolutional Neural Networks for Visual Recognition
- Crowd Course MOOCs
- Databases
- Dataset Collection
- Introduction to Computer Networking
- Machine Learning
- Principles of Computing
- Tensorflow for Deep Learning Research
You are welcomed to contribute to the amazing list of University CS Resources! — Contributing Guidelines