[CVPR 2023] Learning Visual Representations via Language-Guided Sampling

My reimplementations of some of the transformer-based models. LLM and LVMs.

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.

Scripts for fine-tuning Meta Llama3 with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization and Q&A. Supportin…

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

[IEEE TPS] Machine learning for Load disaggregation in smart buildings using GCNMF-s2k

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

Collection of leetcode company tag problems. Periodically updating.

ICCV2019-advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

This repository is a curated collection of the most exciting and influential CVPR 2023 papers. 🔥 [Paper + Code]

ICASSP 2023-Cross Modality Knowledge Distillation for Robust Pedestrian Detection in Low Light and Adverse Weather Conditions

This is Vistalab's modified version of PBRTv4. Check Wiki for more details.

This repository offers a comprehensive collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-e…

StableLM: Stability AI Language Models

FIR-based trajectory prediction at nighttime

Examples and guides for using the OpenAI API

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.

This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)

[CVPR 2023] Learning Visual Representations via Language-Guided Sampling

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

[ICCV 2019] Monocular depth estimation from a single image

TRI-ML Monocular Depth Estimation Repository

The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.

End-to-End Object Detection with Transformers

StyleGAN2 - Official TensorFlow Implementation

Run a Jupyter Notebook to detect, track, and count cars in a video using Maximo Visual Insights (formerly PowerAI Vision) and OpenCV

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite