Bater.Makhabel's Projects
Tools and services for evaluating topic models
GalvanizeU Machine Learning & Natural Language Processing Final Project. Explored topic modeling approaches in Python to summarize emails by latent foreign policy topics using Non-Negative Matrix Factorization and LDA approaches in Sklearn
TripletLoss used in Google's FaceNet paper
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
TGM: PyTorch Geometry
Shape inference for PyTorch (like in Keras) + new SoTA layers!
High-Level Training, Data Augmentation, and Utilities for Pytorch
Debug PyTorch code using PySnooper
今日头条中文新闻(文本)分类数据集
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Reference models and tools for Cloud TPUs.
This is the code for "TPU Machine Learning (LIVE)" by Siraj Raval on Youtube
A Fast, Extensible Progress Bar for Python and CLI
Code for the paper entitled "Evaluation of deep neural networks for traffic sign detection systems".
This repository contains detailed tutorials and notebooks as an accompaniment to our new book 'Transfer Learning in Action' which will be a live work-in-progress with additions over time.
Transfer Learning Suite in Keras. Perform transfer learning using any built-in Keras image classification model easily!
This is an official implementation for "Self-Supervised Learning with Swin Transformers".
A Pytorch Implementation of "Neural Speech Synthesis with Transformer Network"
Visualising the Transformer encoder
TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Spark with minimal hand tuning
Use supervised learning to illuminate the latent space of GAN for controlled generation and edit
💁 Awesome Treasure of Transformers Models for Natural Language processing contains papers, videos, blogs, official repo along with colab Notebooks. 🛫☑️
Trellis Networks for Sequence Modeling
Top 100 trending deep learning repositories sorted by the number of stars gained on a specific day.
TensorFlow Reinforcement Learning
Python library for loading and using triangular meshes.
An example of doing MovieLens recommendations using triplet loss in Keras
A Simple and Comprehensive Vulnerability Scanner for Containers, Suitable for CI