aspect_based_term_extraction

Build a problem-solving model for the ASPE problem. Step 1: Predict the words in the text that represent aspects, or the ATE problem. Step 2: Based on the input text and the word position representing the aspect, predict the emotion for the aspect, or the ATSC problem

awesome-mamba-collection

A curated collection of papers, tutorials, videos, and other valuable resources related to Mamba.

chat-with-mlx

Chat with your data natively on Apple Silicon using MLX Framework.

convolution_neural_network

Cassava Leaf Disease

dataset

decision_tree

Faster Credit Card Fraud Detection using Snap ML

diabetes-prediction-with-pyspark-mllib

end-to-end-question-answering

An automated end-to-end question and answer system, with the ability to answer a question with any content. The system includes two main parts: Retriever and Reader, with the goal of building a comprehensive system capable of ability to extract information from text and provide answers to questions based on the content

handwritten-text-recognition

IAM dataset

hotel-booking-prediction

kaitokidkao

matlab-deep-learning-model-hub

Discover pretrained models for deep learning in MATLAB

multi-agents-llms

Build an app like Chatbot that make 2 agents("Assistant Agent" vs "UserProxy Agent") can communicate

music-classification

natural-language-processing

neural-machine-translation

Use the pre-trained LMs models BERT and GPT2 for initialization for Transformer through huggingface.

neural-networks

object-tracking

Build a Pedestrian Tracking program (the tracking object here is pedestrian) using YOLOv8 and DeepSORT. When combining YOLOv8 and DeepSORT, YOLOv8 will identify objects in each image frame, then DeepSORT will use this information to identify and track objects over time.

poem-generation

Implement a program that uses the Text Generation model with the topic of Vietnamese poetry generation is based on a Vietnamese word input from the user.

predict_diamond_price

str-recognition-crnn

A Scene Text Recognition program using YOLOv8 (detect text) and CRNN (word recognition).

text-classification-using-neural-network

text-classification-with-mamba

Learn the basics of Mamba architecture and apply Mamba to text problems classification.

train-a-mini-chatgpt-rlfh-

Application of model improvement based on RLHF (Reinforcement Learning From Human Feedback) for summarization text.

video-classification

Recognize actions of video

visual-question-answering

yolo-v9

NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite

yolov9

Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information