topliftarm's repositories
acoustic-classification-segmentation
tensorflow implementation of speech/nonspeech segmentation for audio files
Amazing-Feature-Engineering
Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.
Andrew-NG-Notes
This is Andrew NG Coursera Handwritten Notes.
Deep-Learning-Audio-Application-From-Design-to-Deployment
Code and slides for the "Deep learning (audio) application: From design to deployment" tutorials.
DeepLearning_Intro
آموزش مقدمات یادگیری عمیق (Deep Learning)
dl-4-tsc
Deep Learning for Time Series Classification
dl-books
کتاب های مفید و به دردبخور یادگیری عمیق
DLAI-s2-2020-tutorials
Deep Learning & Applied AI: Tutorials
drone-detection
A deep learning neural net model to detect drone/drones from a given picture using Using Fast R-CNN architecture via Keras-Retinanet Implementation. (Dataset and Pre-Trained model provided)
facebook-post-scraper
Facebook Post Scraper 🕵️🖱️
GraphGym
Platform for designing and evaluating Graph Neural Networks (GNN)
Hackers-Guide-to-Deep-Learning
Tutorials on how to engineer Machine Learning projects using Deep Neural Networks with PyTorch and Python
hands-on-time-series-analylsis-python
Source Code for 'Hands-on Time Series Analysis with Python' by B V Vishwas and Ashish Patel
ijcnn19attacks
Adversarial Attacks on Deep Neural Networks for Time Series Classification
lanmessenger
LAN Messenger for Windows, Mac, Linux
nlp-in-practice
Starter code to solve real world text data problems. Includes: Gensim Word2Vec, phrase embeddings, Text Classification with Logistic Regression, word count with pyspark, simple text preprocessing, pre-trained embeddings and more.
NLP-Named-Entity-Recognition
Named Entity Recognition with 92.5% of F1-Score, developed in Pytorch using PoS embeddings, Word2Vec
NLP-Projects
word2vec, sentence2vec, machine reading comprehension, dialog system, text classification, pretrained language model (i.e., XLNet, BERT, ELMo, GPT), sequence labeling, information retrieval, information extraction (i.e., entity, relation and event extraction), knowledge graph, text generation, network embedding
NLP-Semantic-Role-Labeling
NLP - Semantic Role Labeling using GCN, Bert and Biaffine Attention Layer. Developed in Pytorch
parso
A Python Parser
practical_nlp_workshop_gids20
Contains relevant notebooks for the hands-on NLP workshop for the GIDS AIML Conference -2020 Edition
project-based-learning
Curated list of project-based tutorials
pytse-client
work with Tehran stock exchange data in Python
Real-time-ML-Project
A curated list of applied machine learning and data science notebooks and libraries across different industries.
Skin-Lesions-Detection-Deep-learning
Transfer Learning with DCNNs (DenseNet, Inception V3, Inception-ResNet V2, VGG16) for skin lesions classification on HAM10000 dataset largescale data.
voila
Voilà turns Jupyter notebooks into standalone web applications
website-templates
150+ Website Templates
youtube-dl-gui
A cross platform front-end GUI of the popular youtube-dl written in wxPython.