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appliedaicourse-assignmentandnotes

This repo contains the Applied Ai Course Assignments and Notes.

ask_pdf_with_openai

bert

TensorFlow code and pre-trained models for BERT

cornell-cs5785-2020-applied-ml

Teaching materials for the applied machine learning course at Cornell Tech (online edition)

cs231n-project

dsa

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

hands-on-llms

🦖 𝗟𝗲𝗮𝗿𝗻 about 𝗟𝗟𝗠𝘀, 𝗟𝗟𝗠𝗢𝗽𝘀, and 𝘃𝗲𝗰𝘁𝗼𝗿 𝗗𝗕𝘀 for free by designing, training, and deploying a real-time financial advisor LLM system ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 𝘷𝘪𝘥𝘦𝘰 & 𝘳𝘦𝘢𝘥𝘪𝘯𝘨 𝘮𝘢𝘵𝘦𝘳𝘪𝘢𝘭𝘴

image-processing

k-means-clustering-and-principal-component-analysis

langchain-ask-pdf

An AI-app that allows you to upload a PDF and ask questions about it. It uses OpenAI's LLMs to generate a response.

linear-regression

llm-course

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

logistic-regression

mm-dfn

Source code for ICASSP 2022 paper "MM-DFN: Multimodal Dynamic Fusion Network For Emotion Recognition in Conversations"

mmemotionrecognition

Repository with the code of the paper: A proposal for Multimodal Emotion Recognition using auraltransformers and Action Units on RAVDESS dataset

mmer

Code for the InterSpeech 2023 paper: MMER: Multimodal Multi-task learning for Speech Emotion Recognition

multi-class-classification-and-neural-networks

multimodal-emotion-recognition

This repository provides implementation for the paper "Self-attention fusion for audiovisual emotion recognition with incomplete data".

neural-networks-learning

nlp

Translation task using NLP

nlp-reading-group

Everything related to the reading group.

practhon_01

regularized-linear-regression-and-bias-vs.-variance

reinforcementlearning-mazestatesvaluecalculation

support-vector-machines

tensorflowkeras-reinforcementlearning

A tutorial walking through the use of Keras-RL for reinforcement learning with OpenAI gym.

video-audio-face-emotion-recognition

The repo contains an audio emotion detection model, facial emotion detection model, and a model that combines both these models to predict emotions from a video

video-interpolation-using-optical-flow

In this repository, we deal with the task of video frame interpolation with estimated optical flow. To estimate the optical flow we use Lucas-Kanade algorithm, Multiscale Lucas-Kanade algorithm (with iterative tuning), and Discrete Horn-Schunk algorithm. We explore the interpolation performance on Spheres dataset and Corridor dataset.