geniuscare247

geniuscare247's Stars

• basf/mamba-tabular

  Mambular is a Python package that brings the power of Mamba architectures to tabular data, offering a suite of deep learning models for regression, classification, and distributional regression tasks. This includes models like Mambular, FT-Transformer, TabTransformer and tabular ResNets.

  Language:Python1155

• trainindata/deploying-machine-learning-models

  Code for the online course "Deployment of Machine Learning Models"

  Language:Jupyter Notebook7927.7k

• ayushabrol13/Forex-Stock-Price-Prediction-using-Transformer-and-Time-Embeddings

  This repository contains the code for the Project "Forex Stock Price Prediction using Transformers and Time Embeddings" written in Tensorflow 2.9.1

  Language:Jupyter Notebook317

• lacomaofficial/Transformer-Time-Series-Model

  Transformer-based time series model to predict stock prices using historical market data

  Language:HTML1

• gangweiX/Stoch-predict-with-Tranformer-LSTM

  stock predict with MLP,CNN,RNN,LSTM,Transformer and Transformer-LSTM

  Language:Python16828

• hemangjoshi37a/TrendMaster

  Using Transformer deep learning architecture to predict stock prices.

  Language:Jupyter Notebook9616

• KittenCN/stock_prediction

  基于神经网络的通用股票预测模型 A general stock prediction model based on neural networks

  Language:Python16550

• kabazoka/Wirelength-Driven-Detailed-Macro-Placement-with-Force-Directed-Method

  Solution for 2022 ICCAD Problem D: Wirelength Driven Detailed Macro Placement

  Language:C++8

• whitegreen/Dalsoo-Bin-Packing

  Bin packing places a given set of polygons in standard single/multiple rectangular sheet(s), to minimize the use of the sheet(s).

  Language:Java549

• Tw1ddle/Rectangle-Bin-Packing

  :handbag: Haxe algorithms for 2D rectangular bin packing

  Language:Haxe4110

• igorpejic/visapi

  Monte Carlo Tree Search on Perfect Rectangle Packing Problem Instances

  Language:Jupyter Notebook92

• kotarot/rectangle-packing-solver

  A solver to find a solution of the 2D rectangle packing problem by simulated annealing (SA) optimization.

  Language:Python8517

• NVIDIA/TensorRT-LLM

  TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ runtimes that execute those TensorRT engines.

  Language:C++8.3k936

• guilleiguaran/xv6

  mirror of the source code of the Xv6 operating system

  Language:C483210