dipika-singhania

active-learning-with-m2-model

Audio-Classification

Pytorch code for "Rethinking CNN Models for Audio Classification"

C2F-TCN

Official implementation of Coarse to Fine Multi-Resolution Temporal Convolutional Network for Temporal Action Segmentation

ICC-Semi-Supervised-TAS

Iterative Contrast-Classify For Semi-supervised Temporal Action Segmentation

machine-learning-notebooks

model_selection

Automatic Model Selection

multi-scale-action-banks

multi-scale-action-banks

novice-job-search

Web scraping https://www.mycareersfuture.sg/, to find useful job insights for people searching the job, based on search criteria

pytorch-i3d

Timestamp-and-SkipTag

dipika-singhania/C2F-TCN

Official implementation of Coarse to Fine Multi-Resolution Temporal Convolutional Network for Temporal Action Segmentation

dipika-singhania/ICC-Semi-Supervised-TAS

Iterative Contrast-Classify For Semi-supervised Temporal Action Segmentation

dipika-singhania/multi-scale-action-banks

multi-scale-action-banks

dipika-singhania/machine-learning-notebooks

dipika-singhania/Timestamp-and-SkipTag

dipika-singhania/active-learning-with-m2-model

dipika-singhania/model_selection

Automatic Model Selection

dipika-singhania/pytorch-i3d

dipika-singhania/tempAgg

[ECCV 2020] Temporal Aggregate Representations for Long-Range Video Understanding

dipika-singhania/Audio-Classification

Pytorch code for "Rethinking CNN Models for Audio Classification"

dipika-singhania/awesome-active-learning

A curated list of awesome Active Learning

dipika-singhania/awesome-active-learning-1

Hope you can find everything you need about active learning in this repository.

dipika-singhania/awesome-domain-adaptation

A collection of AWESOME things about domian adaptation

dipika-singhania/Awesome-Prompting-on-Vision-Language-Model

This repo lists relevant papers summarized in our survey paper: A Systematic Survey of Prompt Engineering on Vision-Language Foundation Models.

dipika-singhania/check_cosine_annealing_lr

Used torch.optim.lr_scheduler.CosineAnnealingLR()

dipika-singhania/course22p2

course.fast.ai 2022 part 2

dipika-singhania/dense-captioning-in-videos

Dense captioning of videos

dipika-singhania/dipika-singhania.github.io

dipika-singhania/EILEV-Video-Blip-Caption-Generator

EILEV: Efficient In-Context Learning in Vision-Language Models for Egocentric Videos

dipika-singhania/epic-kitchens-100-annotations

:plate_with_cutlery: Annotations for the public release of the EPIC-KITCHENS-100 dataset

dipika-singhania/LLMs-from-scratch-sebastian

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

dipika-singhania/machine-learning-and-simulation

All the handwritten notes 📝 and source code files 🖥️ used in my YouTube Videos on Machine Learning & Simulation (https://www.youtube.com/channel/UCh0P7KwJhuQ4vrzc3IRuw4Q)

dipika-singhania/ms-tcn

dipika-singhania/SlowFast

PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.

dipika-singhania/SVMTutrials

dipika-singhania/TCLP

Implementation of ICLR'22 Coherence-based Label Propagation over Time Series for Accelerated Active Learning

dipika-singhania/TimestampActionSeg_ZiLI

dipika-singhania/TSASPC

[2023 IJCAI] The PyTorch implementation of the paper "Timestamp-Supervised Action Segmentation from the Perspective of Clustering".

dipika-singhania/tsn-pytorch

Temporal Segment Networks (TSN) in PyTorch

dipika-singhania/unsup_temp_embed

Official implementation of the paper: Unsupervised learning of action classes with continuous temporal embedding (CVPR'19)