robinjacobroy

Robin Jacob Roy's starred repositories

Modern-Computer-Vision-with-PyTorch-2E

Modern Computer Vision with PyTorch, 2E, Published by Packt

Language:Jupyter NotebookMIT4300

generative-models

Generative Models by Stability AI

Language:PythonMIT2359100

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

Language:PythonBSD-3-Clause2209100

Transformer-Explainability

[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.

Language:Jupyter NotebookMIT173200

tutorials

PyTorch tutorials.

Language:Jupyter NotebookBSD-3-Clause800900

DeepLearningExamples

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

Language:Jupyter Notebook1306100

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Language:Jupyter NotebookApache-2.04585500

unilm

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

Language:PythonMIT1927400

face_recognition

The world's simplest facial recognition api for Python and the command line

Language:PythonMIT5250600

litgpt

20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.

Language:PythonApache-2.0913100

LLMs-from-scratch

Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step

Language:Jupyter NotebookNOASSERTION2373200

annotated-transformer

An annotated implementation of the Transformer paper.

Language:Jupyter NotebookMIT543100

dlaicourse

Notebooks for learning deep learning

Language:Jupyter Notebook566100

Machine-Learning-with-Python

Python code for common Machine Learning Algorithms

Language:Jupyter Notebook425700

system-design-101

Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.

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python-for-geospatial-analysis

A crash course into using Python for geospatial analysis.

Language:Jupyter NotebookCC0-1.05700

segment-geospatial

A Python package for segmenting geospatial data with the Segment Anything Model (SAM)

Language:PythonMIT278900

deeplearning.ai

Some work of Andrew Ng's course on Coursera

Language:Jupyter Notebook68900

awesome-computer-vision

A curated list of awesome computer vision resources

2036400

tf-end-to-end

TensorFlow code to perform end-to-end Optical Music Recognition on monophonic scores through Convolutional Recurrent Neural Networks and CTC-based training.

Language:PythonMIT13800